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testdata/largefiles/nes96.xml
115 119 строк
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tbeu
Fix typos and add ICPSR full name
02 окт 2017, 22:54
02 окт 2017, 22:54
c2f16c5
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<!DOCTYPE codeBook SYSTEM "../DTD/codebook.dtd"> <codeBook> <stdyDscr> <citation> <titlStmt> <titl> 1996 American National Election Study </titl> </titlStmt> <prodStmt> <producer> Converted from DDL file: nes96.ddl </producer> <prodDate> Apr 27, 1999 (Tue 12:38 PM Pacific Daylight Time) </prodDate> </prodStmt> </citation> <stdyInfo> <sumDscr> <dataKind> survey </dataKind> </sumDscr> </stdyInfo> </stdyDscr> <fileDscr> <fileTxt> <fileStrc type="rectangular"/> <dimensns> <caseQnty> 1714 </caseQnty> <logRecL> 2594 </logRecL> <recPrCas> 1 </recPrCas> </dimensns> </fileTxt> </fileDscr> <dataDscr> <var name="CASEID" ID="CASEID" format="" dcml="0"> <location cardNo="1" StartPos="17" width="4"/> <labl level="variable"> Berkeley Case ID Number </labl> </var> <var name="icpsrno" ID="icpsrno" format="" dcml="0"> <location cardNo="1" StartPos="1" width="4"/> <labl level="variable"> ICPSR Study Number </labl> <qstn> <qstnLit> ICPSR STUDY NUMBER ------------------------------------------------------------------- The study number is 6896. </qstnLit> </qstn> </var> <var name="edition" ID="edition" format="" dcml="0"> <location cardNo="1" StartPos="5" width="1"/> <labl level="variable"> ICPSR Edition Number </labl> <qstn> <qstnLit> ICPSR EDITION NUMBER ------------------------------------------------------------------- All cases coded 1. </qstnLit> </qstn> </var> <var name="partno" ID="partno" format="" dcml="0"> <location cardNo="1" StartPos="6" width="1"/> <labl level="variable"> ICPSR Part Number </labl> <qstn> <qstnLit> ICPSR Part Number ------------------------------------------------------------------- All cases coded 1. </qstnLit> </qstn> </var> <var name="reldate" ID="reldate" format="char" dcml="0"> <location cardNo="1" StartPos="7" width="10"/> <labl level="variable"> Release Date </labl> <qstn> <qstnLit> Release Date ------------------------------------------------------------------- "April 1997" </qstnLit> </qstn> </var> <var name="v960001" ID="v960001" format="char" dcml="0"> <location cardNo="1" StartPos="17" width="4"/> <labl level="variable"> Pre. 1996 Case ID </labl> <qstn> <qstnLit> Process.1 1996 Case ID ------------------------------------------------------------------- Panel cases 1001-2318. Cross-section cases 3001-3404. There are gaps in the numbering at 2108,2118,3081,3212,3213,3322,3348,3369. </qstnLit> </qstn> </var> <var name="v960002" ID="v960002" format="char" dcml="0"> <location cardNo="1" StartPos="21" width="1"/> <labl level="variable"> Pre. 1996 Panel/Cross indicator </labl> <qstn> <qstnLit> Process.3 Panel/cross indicator ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Panel case </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Cross-section case </txt> </catgry> </catgryGrp> </var> <var name="v960003" ID="v960003" format="char" dcml="4"> <location cardNo="1" StartPos="22" width="6"/> <labl level="variable"> Pre. 1996 Full sample weight </labl> <qstn> <qstnLit> Process.4 Full sample weight ------------------------------------------------------------------- This weight compensates for the unequal probabilities of selection for respondents in different size households and for different non-response across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to the July 1995 Census population projections for age, by sex by Census region categories (Current Population Reports P25-1111, Table 4). This is a 6 digit variable with a coded decimal point and 4 actual decimal places. See also the "Construction of Analysis weights" in the Sample Design section of the Appendix to the codebook for the 1996 study. </qstnLit> </qstn> </var> <var name="v960004" ID="v960004" format="char" dcml="4"> <location cardNo="1" StartPos="28" width="6"/> <labl level="variable"> Pre. 1996 Panel-only weight </labl> <qstn> <qstnLit> Process.5 1996 Panel only weight ------------------------------------------------------------------- This weight is to be used for analyses which use only the 1316 panel cases; the cross-section cases have a value of "0" in this field. The weight compensates for the unequal probabilities of selection for respondents in different size households and for differential non-response across geographic sample design categories. It is post-stratified to the July 1995 Census population projections for age, by sex by Census region categories (Current Population Reports P25-1111, Table 4). This weight is centered with a mean of 1.0. This is a 6-digit variable with a coded decimal point and 4 actual decimal places. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="REAL" VALUE="0.0000"/> </invalrng> </var> <var name="v960005" ID="v960005" format="char" dcml="4"> <location cardNo="1" StartPos="34" width="6"/> <labl level="variable"> Pre. 1996 Time-series weight </labl> <qstn> <qstnLit> Process.6 1996 Time-series weight ------------------------------------------------------------------- This weight should be used in analyses in which the 1996 Panel is compared to earlier unweighted National Election Studies data collections. This variable corrects for panel attrition and for the aging of the Panel respondents. Details on the construction of this variable are provided in the Sample Design section of the Appendix to the codebook for the 1996 Study. This weight is centered with a mean of 1.0. This is a 6-digit variable with a coded decimal point and 4 actual decimal places. Cross-section cases have a value of 1.0000. </qstnLit> </qstn> </var> <var name="v960006" ID="v960006" format="char" dcml="0"> <location cardNo="1" StartPos="40" width="5"/> <labl level="variable"> Pre. 1995 Case ID (panel) </labl> <qstn> <qstnLit> Process.7 1995 Case ID (1995 Pilot) for panel cases ------------------------------------------------------------------- 5-digit case ID, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 1996 cross-section; panel case not interviewed in 1995 pilot </txt> </catgry> </catgryGrp> </var> <var name="v960007" ID="v960007" format="char" dcml="0"> <location cardNo="1" StartPos="45" width="4"/> <labl level="variable"> Pre. 1994 Case ID (panel) </labl> <qstn> <qstnLit> Process.8 1994 Case ID for panel cases ------------------------------------------------------------------- 4-digit case ID, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 1996 cross-section </txt> </catgry> </catgryGrp> </var> <var name="v960008" ID="v960008" format="char" dcml="0"> <location cardNo="1" StartPos="49" width="5"/> <labl level="variable"> Pre. 1993 Case ID (panel) </labl> <qstn> <qstnLit> Process.9 1993 Case ID (1993 Pilot) for panel cases ------------------------------------------------------------------- 5-digit case ID, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 1996 cross-section; panel case not interviewed in 1993 Pilot </txt> </catgry> </catgryGrp> </var> <var name="v960009" ID="v960009" format="char" dcml="0"> <location cardNo="1" StartPos="54" width="4"/> <labl level="variable"> Pre. 1992 Case ID (panel) </labl> <qstn> <qstnLit> Process.10 1992 Case ID for panel cases ------------------------------------------------------------------- 4-digit case ID, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 1996 cross-section; panel case not interviewed in 1992 </txt> </catgry> </catgryGrp> </var> <var name="v960010" ID="v960010" format="char" dcml="0"> <location cardNo="1" StartPos="58" width="1"/> <labl level="variable"> Pre. 1996 Pre Only or Pre-and-Post </labl> <qstn> <qstnLit> Process.11 1996 Participation: Pre-and Post/ Pre-Only ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Pre Only </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Pre and Post </txt> </catgry> </catgryGrp> </var> <var name="v960010a" ID="v960010a" format="char" dcml="0"> <location cardNo="1" StartPos="59" width="1"/> <labl level="variable"> Pre. Time Series participation 1992,1994,1996 </labl> <qstn> <qstnLit> Process.12 Summary: R's participation in 1992,1994,1996 timeseries ------------------------------------------------------------------- This summary describes R's participation in the 1992, 1994 and 1996 timeseries studies. Respondents who participated in the 1992 study were interviewed in both the 1992 Pre and 1992 Post. Participation in the 1996 study describes both pre-and-post cases and pre-only respondents. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Participated 1996 only </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Participated 1996 and 1994 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Participated 1996, 1994, 1992 </txt> </catgry> </catgryGrp> </var> <var name="v960010b" ID="v960010b" format="char" dcml="0"> <location cardNo="1" StartPos="60" width="2"/> <labl level="variable"> Pre. Panel participation summary </labl> <qstn> <qstnLit> Process.13 Summary, R's participation 1992, 1993, 1994, 1995, 1996 ------------------------------------------------------------------- 1996 cross section respondents (codes 1 and 2) have been interviewed only in 1996 (pre only or pre and post interviews). All 1996 panel respondents have been interviewed in the 1994 Post time-series study and may have also been interviewed in the 1992 Pre-Post time-series study. If R was interviewed in 1992 (codes 21-24) he/she was necessarily interviewed in both the 1992 Pre and 1992 Post (this was a requirement to be eligible for the continuing panel). Panel respondents may also have been interviewed in the 1993 and/or 1995 Pilot Studies. 1995 Pilot: 1996 panel respondents who had been fresh cross-section in 1994 (first interviewed in 1994) were eligible for interviewing in the 1995 Pilot Study; 1996 Panel respondents who had been first interviewed in 1992 were not eligible for inclusion in the 1995 Pilot. 1993 Pilot: Panel respondents who were interviewed in both the 1992 Pre and Post were eligible for 1993 Pilot Study interviewing. 1996 ONLY: </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 01 </catValu> <txt level="category"> 1996 Pre only </txt> </catgry> <catgry> <catValu> 02 </catValu> <txt level="category"> 1996 Pre and Post 1994 AND 1996: </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> 1994, 1996 Pre </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> 1994, 1996 Pre and Post </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> 1994, 1995 Pilot, 1996 Pre </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> 1994, 1995 Pilot, 1996 Pre and Post 1992,1994 AND 1996: </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> 1992 Pre and Post, 1994, 1996 Pre </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> 1992 Pre and Post, 1994, 1996 Pre and Post </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> 1992 Pre and Post, 1993 Pilot, 1994, 1996 Pre </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> 1992 Pre and Post, 1993 Pilot, 1994, 1996 Pre and Post </txt> </catgry> </catgryGrp> </var> <var name="v960011" ID="v960011" format="char" dcml="0"> <location cardNo="1" StartPos="62" width="2"/> <labl level="variable"> Pre. Day of interview </labl> <qstn> <qstnLit> Admin.1 PRE-ELECTION Day of interview ------------------------------------------------------------------- Day of interiew 1-31 coded, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960012" ID="v960012" format="char" dcml="0"> <location cardNo="1" StartPos="64" width="2"/> <labl level="variable"> Pre. Month of interview </labl> <qstn> <qstnLit> Admin.2 PRE ELECTION Month of interview ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 9 </catValu> <txt level="category"> September </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> October </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> November </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960013" ID="v960013" format="char" dcml="0"> <location cardNo="1" StartPos="66" width="2"/> <labl level="variable"> Pre. Number of days between pre IW and election day </labl> <qstn> <qstnLit> Admin.3 PRE-ELECTION - Number of days before Election Day ------------------------------------------------------------------- This variable is based on the date of interview. It counts the number of days before the election day (November 5, 1996). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960014" ID="v960014" format="char" dcml="0"> <location cardNo="1" StartPos="68" width="4"/> <labl level="variable"> Pre. Beginning time </labl> <qstn> <qstnLit> Admin.4 PRE-ELECTION Beginning time (local) ------------------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9999"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960015" ID="v960015" format="char" dcml="0"> <location cardNo="1" StartPos="72" width="4"/> <labl level="variable"> Pre. Ending time </labl> <qstn> <qstnLit> Admin.5 PRE-ELECTION Ending time (local) ------------------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9999"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960016" ID="v960016" format="char" dcml="0"> <location cardNo="1" StartPos="76" width="3"/> <labl level="variable"> Pre. Interview length in minutes </labl> <qstn> <qstnLit> Admin.6 PRE-ELECTION Interview length in minutes ------------------------------------------------------------------- The actual number of minutes is coded, except: 999.0. NA </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="999"/> </invalrng> </var> <var name="v960017" ID="v960017" format="char" dcml="0"> <location cardNo="1" StartPos="79" width="2"/> <labl level="variable"> Pre. Interview number </labl> <qstn> <qstnLit> Admin.7 PRE-ELECTION Interview number ------------------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960018" ID="v960018" format="char" dcml="0"> <location cardNo="1" StartPos="81" width="1"/> <labl level="variable"> Pre. Date of beginning VQ file </labl> <qstn> <qstnLit> Admin.8 PRE-ELECTION Date of Beginning VQ file ------------------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. The 8/6/96 VQ was used in error in only 2 cases. In the 9/3/96 VQ, Rs who had been erroneously asked for placement of House candidates and major parties on the 7-point Liberal-Conservative scale (respondents who answered Haven't Thought Much for self-rating) were assigned an appropriate skip. Note that data for ratings of House candidates and parties do not included these cases. In the 9/11/96 VQ, Choate replaced Campbell as the Reform Party Vice-Presidential candidate (question D1f). In the 9/17/96 VQ, respondents no longer skipped Y12g if they do not answer "Yes" in Y12e. In the 9/25/96 VQ, several Perot items were dropped as documented in specific variables [G3a-G3d(1), K4a-K4a(1), K4b, L2d, L2d(1), L2d(2), L3d, L4d, M1d, M1d(1), M1d(2), M2d, M3d, M3d(1), M3d(2), M4d, N1d]. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> 8/6/96 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 8/27/96 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 9/3/96 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 9/11/96 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 9/17/96 </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> 9/25/96 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> 9/30/96 </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> 10/4/96 </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960019" ID="v960019" format="char" dcml="0"> <location cardNo="1" StartPos="82" width="1"/> <labl level="variable"> Pre. Date of ending VQ file </labl> <qstn> <qstnLit> Admin.9 PRE-ELECTION Date of Ending VQ file ------------------------------------------------------------------- This refers to the VQ file loaded when the interview concluded. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. This variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the beginning VQ (previous var). The 8/6/96 VQ was used in error in only 2 cases. In the 9/3/96 VQ, Rs who had been erroneously asked for placement of House candidates and major parties on the 7-point Liberal-Conservative scale (respondents who answered Haven't Thought Much for self-rating) were assigned an appropriate skip. Note that data for ratings of House candidates and parties do not included these cases. In the 9/11/96 VQ, Choate replaced Campbell as the Reform Party Vice-Presidential candidate (question D1f). In the 9/17/96 VQ, respondents no longer skipped Y12g if they do not answer "Yes" in Y12e. In the 9/25/96 VQ, several Perot items were dropped as documented in specific variables [G1a-G3d(1), K4a-K4a(1), K4b, L2d, L2d(1), L2d(2), L3d, L4d, M1d, M1d(1), M1d(2), M2d, M3d, M3d(1), M3d(2), M4d, N1d]. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> 8/6/96 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 8/27/96 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 9/3/96 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 9/11/96 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 9/17/96 </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> 9/25/96 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> 9/30/96 </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> 10/4/96 </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960020" ID="v960020" format="char" dcml="0"> <location cardNo="1" StartPos="83" width="2"/> <labl level="variable"> Pre. Payment amount </labl> <qstn> <qstnLit> Admin.10 PRE-ELECTION - Payment amount ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> INAP, no respondent payment </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> $5 respondent payment </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> $5 respondent payment </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> $15 respondent payment </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> $20 respondent payment </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> $25 respondent payment </txt> </catgry> </catgryGrp> </var> <var name="v960021" ID="v960021" format="char" dcml="0"> <location cardNo="1" StartPos="85" width="1"/> <labl level="variable"> Pre. Was interview tape recorded </labl> <qstn> <qstnLit> Admin.11 PRE-ELECTION - Was interview tape recorded ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960022" ID="v960022" format="char" dcml="0"> <location cardNo="1" StartPos="86" width="1"/> <labl level="variable"> Pre. Verification indicator </labl> <qstn> <qstnLit> Admin.12 PRE-ELECTION - Verification indicator ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Not flagged for verification </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Flagged for verification </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Verified </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Verified with discrepancy </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not verified </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Unable to verify </txt> </catgry> </catgryGrp> </var> <var name="v960023" ID="v960023" format="char" dcml="0"> <location cardNo="1" StartPos="87" width="1"/> <labl level="variable"> Pre. Evaluation indicator </labl> <qstn> <qstnLit> Admin.13 PRE-ELECTION - Evaluation indicator ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Interview not evaluated </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Interview evaluated by supervisor </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Interview evaluated by team leader </txt> </catgry> </catgryGrp> </var> <var name="v960024" ID="v960024" format="char" dcml="0"> <location cardNo="1" StartPos="88" width="1"/> <labl level="variable"> Pre. Refusal conversion indicator </labl> <qstn> <qstnLit> Admin.14 PRE-ELECTION - Refusal conversion indicator ------------------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Refusal conversion attempted </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not a refusal conversion situation </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960025" ID="v960025" format="char" dcml="0"> <location cardNo="1" StartPos="89" width="1"/> <labl level="variable"> Pre. Was persuasion letter sent </labl> <qstn> <qstnLit> Admin.15 PRE-ELECTION - Was persuasion letter sent? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> A persuasion letter was sent to R </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> No persuasion letter was sent </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960026" ID="v960026" format="char" dcml="0"> <location cardNo="1" StartPos="90" width="1"/> <labl level="variable"> Pre. Type of persuasion letter </labl> <qstn> <qstnLit> Admin.16 IF PERSUASION LETTER WAS SENT: PRE-ELECTION - Type of persuasion letter ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> No persuasion letter sent </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A."Too busy" </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> B."Too personal" </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> C."Not interested" </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> D."Too old" </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> E. Evasive </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> F. Gatekeeper </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> X. Not at home </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960027" ID="v960027" format="char" dcml="0"> <location cardNo="1" StartPos="91" width="2"/> <labl level="variable"> Pre. Number of telephone calls </labl> <qstn> <qstnLit> Admin.17 PRE-ELECTION - Number of telephone calls ------------------------------------------------------------------- Number of calls is coded, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960028" ID="v960028" format="char" dcml="0"> <location cardNo="1" StartPos="93" width="2"/> <labl level="variable"> Pre. Number of face to face calls </labl> <qstn> <qstnLit> Admin.18 PRE-ELECTION - Number of face to face calls ------------------------------------------------------------------- Number of calls is coded, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960029" ID="v960029" format="char" dcml="0"> <location cardNo="1" StartPos="95" width="2"/> <labl level="variable"> Pre. Total number of calls (Phone + FtF) </labl> <qstn> <qstnLit> Admin.19 PRE-ELECTION - Total number of calls (Phone + FtF) ------------------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the"number of calls" variable in past studies. Number of calls coded, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960030" ID="v960030" format="char" dcml="0"> <location cardNo="1" StartPos="97" width="1"/> <labl level="variable"> Pre. Final result code </labl> <qstn> <qstnLit> Admin.20 PRE-ELECTION - Final result code ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Interview, complete </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Interview, partial </txt> </catgry> </catgryGrp> </var> <var name="v960031" ID="v960031" format="char" dcml="0"> <location cardNo="1" StartPos="98" width="1"/> <labl level="variable"> Pre. Beginning interview mode </labl> <qstn> <qstnLit> Admin.21 PRE-ELECTION - Beginning mode, personal or telephone ------------------------------------------------------------------- This is the mode when interview began </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Personal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Telephone </txt> </catgry> </catgryGrp> </var> <var name="v960031a" ID="v960031a" format="char" dcml="0"> <location cardNo="1" StartPos="99" width="1"/> <labl level="variable"> Pre. Mode summary - pre and post </labl> <qstn> <qstnLit> Admin.22 MODE SUMMARY - Pre and Post ------------------------------------------------------------------- This variable documents the beginning mode of the Pre and Post interviews. PERSONAL ONLY: </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Pre personal and Post personal or Pre personal and no Post IW TELEPHONE ONLY: </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pre telephone and Post telephone or Pre telephone and no Post IW PERSONAL AND TELEPHONE: </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Pre personal and Post telephone </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Pre telephone and Post personal </txt> </catgry> </catgryGrp> </var> <var name="v960032" ID="v960032" format="char" dcml="0"> <location cardNo="1" StartPos="100" width="1"/> <labl level="variable"> Pre. Ending interview mode </labl> <qstn> <qstnLit> Admin.23 PRE-ELECTION - Ending mode, personal or telephone ------------------------------------------------------------------- This is the mode when interview ended. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Personal mode </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Telephone </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960033" ID="v960033" format="char" dcml="0"> <location cardNo="1" StartPos="101" width="1"/> <labl level="variable"> Pre. Sample release </labl> <qstn> <qstnLit> Admin.24 Sample Release ------------------------------------------------------------------- In order that analyses of respondents' reactions to campaign events not be confounded with ease or difficulty of contacting or conducting interviews with respondents, NES has, since 1984, followed a strategy of releasing Pre-election sample in stages. In 1996 the sample was released in four quarter samples at approximately two week intervals. The allocation of sample lines to target periods was random, at the segment level; the sets of assigned lines are known as replicates. Dates of release were as follows: 1st replicate 9/3, 2nd replicate 9/12, 3rd replicate 9/26, 4th replicate 10/10. Panel cases that required tracking because the current address of the respondent was not known were released with the first replicate. Two replicates of cross-section cases were designated as 'reserve' to release as needed, depending on an evaluation of sample performance prior to the release of replicate 3. The reserve replicates of cross-section cases were released as follows: replicate 5 with replicate 3 and replicate 6 with replicate 4. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Replicate 1, released September 3 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Replicate 2, released September 12 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Replicate 3, released September 26 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Replicate 4, released October 10 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Reserve replicate 5, released with replicate 3 (Sept. 26) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Reserve replicate 5, released with replicate 4 (Oct. 10) </txt> </catgry> </catgryGrp> </var> <var name="v960034" ID="v960034" format="char" dcml="0"> <location cardNo="1" StartPos="102" width="1"/> <labl level="variable"> Pre. Sample release summary </labl> <qstn> <qstnLit> Admin.25 Sample release summary ------------------------------------------------------------------- Built from release variable and date of iw. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Target period 1, interviewed in target period 1 (Sept 3-Sept 11) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Target period 2, interviewed in target period 2 (Sept 12-Sept 25) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Target period 3, interviewed in target period 3 (Sept 26-Oct 9) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Target period 4, interviewed in target period 4 (Oct 10-Nov 4) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Target period 1, interviewed outside of target period </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Target period 2, interviewed outside of target period </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Target period 3, interviewed outside of target period </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Target period 4, interviewed outside of target period </txt> </catgry> </catgryGrp> </var> <var name="v960035" ID="v960035" format="char" dcml="0"> <location cardNo="1" StartPos="103" width="1"/> <labl level="variable"> Pre. Question 'form' summary </labl> <qstn> <qstnLit> Admin.26 Pre question 'form' summary ------------------------------------------------------------------- This variable compares with the 'Form' variable of previous (non-CAPI) studies and describes the format of (questions included in) the instrument. Questions F1-F4 and H4-H8 were administered to a random half-sample of respondents. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> R administered both F1-F4 and H4-H8 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> R not administered F1-F4 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> R not administered H4-H8 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> R administered neither F1-F4 nor H4-H8 </txt> </catgry> </catgryGrp> </var> <var name="v960036" ID="v960036" format="char" dcml="0"> <location cardNo="1" StartPos="104" width="1"/> <labl level="variable"> Pre. (Panel only) Does R still live at address on sample label </labl> <qstn> <qstnLit> CSheet.1 PRE-ELECTION COVERSHEET, CS Item 3. (Panel only) Does R still live at the address on sample label ------------------------------------------------------------------- The address on the label for the Panel respondents reflected knowledge of R's whereabouts right before the field period began. (The Sample Label address may or may not have corresponded to R's address at the time of the interview; R's 1994 address may have been updated between the 1994 interview and the beginning of the 1996 Pre field period). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, cross-section </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960037" ID="v960037" format="char" dcml="0"> <location cardNo="1" StartPos="105" width="1"/> <labl level="variable"> Pre. (Panel only) New address is: </labl> <qstn> <qstnLit> CSheet.2 IF R NO LONGER LIVES AT ADDRESS ON SAMPLE LABEL PRE-ELECTION COVERSHEET, CS Item 3d. (Panel only) New address is: ------------------------------------------------------------------- The address for every Panel repondents who had moved since the 1994 Post- election study was evaluated by the field supervisors. Addresses beyond reasonable driving distance by local interviewers were classified as out of range and assigned to phone interview to be completed by selected phone interviewers. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, cross section case; 1 in question CSheet.3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Out of range </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Within range </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Can't find </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960038" ID="v960038" format="char" dcml="0"> <location cardNo="1" StartPos="106" width="1"/> <labl level="variable"> Pre. Panel - correct name, birth date and gender on coversheet </labl> <qstn> <qstnLit> CSheet.3 PRE-ELECTION COVERSHEET,CS Item 5 (Panel only) I need to verify that your full name is [Name of Respondent]. I also need to verify that you were born on [Birth month and year]. R NAME, BIRTH, AND GENDER ARE: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, 1996 Cross-section </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Identical to sample label </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not identical </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960039" ID="v960039" format="char" dcml="0"> <location cardNo="1" StartPos="107" width="1"/> <labl level="variable"> Pre. Panel - coversheet name marked different </labl> <qstn> <qstnLit> CSheet.4 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Name marked different </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, 1996 cross-section; 1,9 in question CSheet.5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960040" ID="v960040" format="char" dcml="0"> <location cardNo="1" StartPos="108" width="1"/> <labl level="variable"> Pre. Panel coversheet - gender marked different </labl> <qstn> <qstnLit> CSheet.5 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Sex marked different </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, 1996 cross-section; 1,9 in question CSheet.5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960041" ID="v960041" format="char" dcml="0"> <location cardNo="1" StartPos="109" width="1"/> <labl level="variable"> Pre. Panel coversheet - birth data marked different </labl> <qstn> <qstnLit> CSheet.6 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Different birth date marked </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, 1996 cross-section; 1,9 in question CSheet.5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960042" ID="v960042" format="char" dcml="0"> <location cardNo="1" StartPos="110" width="1"/> <labl level="variable"> Pre. Cross - Household listing obtained from </labl> <qstn> <qstnLit> CSheet.7 PRE-ELECTION COVERSHEET, CS Item 6 (Cross-section only) Household listing obtained from: ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, panel respondent </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> HU member </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Neighbor </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Apartment manager </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Landlord </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Observation </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960043" ID="v960043" format="char" dcml="0"> <location cardNo="1" StartPos="111" width="1"/> <labl level="variable"> Pre. Cross - Selection table </labl> <qstn> <qstnLit> CSheet.8 PRE-ELECTION COVERSHEET, CS Item 8 HOUSEHOLD LISTING: (Cross-section only) Selection table ------------------------------------------------------------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel COLUMNS . In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the Number" of the person who will be the respondent. There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, panel </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> B1 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> B2 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> C </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> D </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> E1 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> E2 </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> F </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960044" ID="v960044" format="char" dcml="0"> <location cardNo="1" StartPos="112" width="1"/> <labl level="variable"> Pre. Cross - Person number selected as R </labl> <qstn> <qstnLit> CSheet.9 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Selection table: person number selected as R. ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, panel respondent </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> R is person numbered 1 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> R is person numbered 2 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> R is person numbered 3 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> R is person numbered 4 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> R is person numbered 5 </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> R is person numbered 6 </txt> </catgry> </catgryGrp> </var> <var name="v960045" ID="v960045" format="char" dcml="0"> <location cardNo="1" StartPos="113" width="1"/> <labl level="variable"> Pre. Cross - Total number of persons in HH </labl> <qstn> <qstnLit> CSheet.10 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Total number of persons in HH: from household listing. ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, panel respondent </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One person </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two persons </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three persons </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four persons </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five persons </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six persons </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Seven persons </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Eight or more persons </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960046" ID="v960046" format="char" dcml="0"> <location cardNo="1" StartPos="114" width="1"/> <labl level="variable"> Pre. Cross - Total number of eligible adults in HU </labl> <qstn> <qstnLit> CSheet.11 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Total number of eligible adults in HU: from household listing. ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> INAP, panel respondent </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One eligible adult </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two eligible adults </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three eligible adults </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four eligible adults </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five eligible adults </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six eligible adults </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960046a" ID="v960046a" format="char" dcml="0"> <location cardNo="1" StartPos="115" width="1"/> <labl level="variable"> Pre. Panel and Cross - Total number of eligible adults in HU </labl> <qstn> <qstnLit> COVERSHEET -Pre HOUSEHOLD LISTING: Total number of eligible adults in HU ------------------------------------------------------------------- For Panel cases, data from the 1994 or 1992 Household Listing were included here. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> One eligible adult </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two eligible adults </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three eligible adults </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four eligible adults </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five eligible adults </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six eligible adults </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960047" ID="v960047" format="char" dcml="0"> <location cardNo="1" StartPos="116" width="2"/> <labl level="variable"> Pre. Cross - Household composition code </labl> <qstn> <qstnLit> CSheet.12 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Household composition code. ------------------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election day) or older; all individuals included in the HH composition codes below refer to adults. A designation of a HH member as "the householder" (HHR) describes HU member who owns or rents the home (in whose name the lease is held). Cohabiting couples are coded as married (30,40, 50-52). Roommates of opposite sex are coded 11,12,21,22; in all cases of unrelated roommates the respondent is HHR. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> INAP, panel respondent </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> 1 adult male HHR </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> 1 adult male HHR plus 1 other non-relative </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> 1 adult male HHR plus 2 or more non-relatives </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> 1 adult female HHR </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> 1 adult female HHR plus 1 other non-relative </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> 1 adult female HHR plus 2 or more non-relatives </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> 1 married couple: no children or all children living at home are under 18 </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> 1 married couple plus 1 other relative </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> 1 married couple plus 2 or more other relatives </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> 1 married couple plus 1 other non-relative </txt> </catgry> <catgry> <catValu> 52 </catValu> <txt level="category"> 1 married couple plus 2 or more non-relatives </txt> </catgry> <catgry> <catValu> 60 </catValu> <txt level="category"> 1 unmarried male HHR plus 1 other relative </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> 1 unmarried male HHR plus 2 or more other relatives </txt> </catgry> <catgry> <catValu> 80 </catValu> <txt level="category"> 1 unmarried female HHR plus 1 other relative </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> 1 unmarried female HHR plus 2 or more other relatives </txt> </catgry> <catgry> <catValu> 95 </catValu> <txt level="category"> Relatives of opposite sex, unclear who is HHR </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960048" ID="v960048" format="char" dcml="0"> <location cardNo="1" StartPos="118" width="1"/> <labl level="variable"> Pre. Cross - Number of children under 6 years old in household </labl> <qstn> <qstnLit> CSheet.13 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children under 6 years old in household. ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No children under 6 years old in HH </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One child </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two children </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three children </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four children </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five children </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; INAP, panel respondent </txt> </catgry> </catgryGrp> </var> <var name="v960049" ID="v960049" format="char" dcml="0"> <location cardNo="1" StartPos="119" width="1"/> <labl level="variable"> Pre. Cross - Number of children 6-9 years old in household </labl> <qstn> <qstnLit> CSheet.14 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 6-9 years old in household. ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No children 6-9 years old </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One child </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two children </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three children </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four children </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five children </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; INAP, panel respondent </txt> </catgry> </catgryGrp> </var> <var name="v960050" ID="v960050" format="char" dcml="0"> <location cardNo="1" StartPos="120" width="1"/> <labl level="variable"> Pre. Cross - Number of children 10-13 years old in household </labl> <qstn> <qstnLit> CSheet.15 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 10-13 years old in household. ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No children 10-13 years old </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One child </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two children </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three children </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four children </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five children </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; INAP, panel respondent </txt> </catgry> </catgryGrp> </var> <var name="v960051" ID="v960051" format="char" dcml="0"> <location cardNo="1" StartPos="121" width="1"/> <labl level="variable"> Pre. Cross - Number of children 14-17 years old in household </labl> <qstn> <qstnLit> CSheet.16 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 14-17 years old in household. ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No children 14-17 years old </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One child </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two children </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three children </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four children </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five children </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; INAP, panel respondent </txt> </catgry> </catgryGrp> </var> <var name="v960052" ID="v960052" format="char" dcml="0"> <location cardNo="1" StartPos="122" width="1"/> <labl level="variable"> Pre. Type of structure in which the respondent lives </labl> <qstn> <qstnLit> CSheet.17 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD1 Describe the type of structure in which the respondent lives (sample address). ------------------------------------------------------------------- For panel cases, if this var was NA and R had not moved between 1994 and 1996, data from 1994 were duplicated here. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Mobile home </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Detached single family </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Multi-family </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Apartment house </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Condo complex </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960053" ID="v960053" format="char" dcml="0"> <location cardNo="1" StartPos="123" width="1"/> <labl level="variable"> Pre. Is there a blding manager, security grd, other gatekeeper </labl> <qstn> <qstnLit> CSheet.18 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2. Is there a building manager, security guard, or other gatekeeper whose cooperation you need to gain access to the R's housing unit? ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> No, but building is locked/subdivision is gated and locked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960054" ID="v960054" format="char" dcml="0"> <location cardNo="1" StartPos="124" width="1"/> <labl level="variable"> Pre. Type of blding manager, security grd, or other gatekeeper </labl> <qstn> <qstnLit> CSheet.19 IF BUILDING MANAGER / GUARD / GATEKEEPER OR LOCKED PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2a Check the box below that best describes the situation. ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,9 in CD2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Building Manager or other Gatekeeper must let you in the building (on the grounds, into the mobile home park) but then you are free to attempt contact with R's HU </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Building Manager/ other Gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (describe situation) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960055" ID="v960055" format="char" dcml="0"> <location cardNo="1" StartPos="125" width="1"/> <labl level="variable"> Pre. Did R refuse initially </labl> <qstn> <qstnLit> CSheet.20 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3c Did R refuse initially? ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap due to incorrect skip, case not reviewed (5,9 in question CSheet22) and interviewer did not ignore skip error </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960056" ID="v960056" format="char" dcml="0"> <location cardNo="1" StartPos="126" width="1"/> <labl level="variable"> Pre. Did R break any appointment </labl> <qstn> <qstnLit> CSheet.21 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3d. Did R break any appointment? ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. (For CD3d, since recovery was only attempted for cases having resistance indicated in CD3a, information about appointments broken by unresisting respondents is not represented). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two or more </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; Inap, not reviewed (5,9 in CD3a) and not completed by interviewer </txt> </catgry> </catgryGrp> </var> <var name="v960057" ID="v960057" format="char" dcml="0"> <location cardNo="1" StartPos="127" width="1"/> <labl level="variable"> Pre. Was there resistance from R </labl> <qstn> <qstnLit> CSheet.22 IF R HAS MADE CONTACT WITH SOMEONE AT THE HOUSHOLD UNIT/ PHONE NUMBER: PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3a. Was there resistance from this person? ------------------------------------------------------------------- This question can refer to resistance from anyone contacted at the HU. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960058" ID="v960058" format="char" dcml="0"> <location cardNo="1" StartPos="128" width="1"/> <labl level="variable"> Pre. R Resistance: Waste of time; previous bad experience </labl> <qstn> <qstnLit> CSheet.23 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960059" ID="v960059" format="char" dcml="0"> <location cardNo="1" StartPos="129" width="1"/> <labl level="variable"> Pre. R Resistance: Very ill </labl> <qstn> <qstnLit> CSheet.24 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960060" ID="v960060" format="char" dcml="0"> <location cardNo="1" StartPos="130" width="1"/> <labl level="variable"> Pre. R Resistance: Too busy </labl> <qstn> <qstnLit> CSheet.25 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960061" ID="v960061" format="char" dcml="0"> <location cardNo="1" StartPos="131" width="1"/> <labl level="variable"> Pre. R Resistance: Stressful family situation </labl> <qstn> <qstnLit> CSheet.26 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960062" ID="v960062" format="char" dcml="0"> <location cardNo="1" StartPos="132" width="1"/> <labl level="variable"> Pre. R Resistance: Confidentiality </labl> <qstn> <qstnLit> CSheet.27 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most IW cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960063" ID="v960063" format="char" dcml="0"> <location cardNo="1" StartPos="133" width="1"/> <labl level="variable"> Pre. R Resistance: Invasion of privacy </labl> <qstn> <qstnLit> CSheet.28 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most IW cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960064" ID="v960064" format="char" dcml="0"> <location cardNo="1" StartPos="134" width="1"/> <labl level="variable"> Pre. R Resistance: No reason given </labl> <qstn> <qstnLit> CSheet.29 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(7). If there was any resistance from the R, what reasons were given: . . . (G) No reason given ------------------------------------------------------------------- This variable indicates that R resisted but did not give a specific reason for unwillingness to be interviewed. Due to an error in the skip logic on the paper coversheets, in most IW cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960065" ID="v960065" format="char" dcml="0"> <location cardNo="1" StartPos="135" width="1"/> <labl level="variable"> Pre. R Resistance: Other </labl> <qstn> <qstnLit> CSheet.30 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) ------------------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, case not reviewed (5,9 in CSheet 22) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960066" ID="v960066" format="char" dcml="0"> <location cardNo="1" StartPos="136" width="1"/> <labl level="variable"> Pre. R's gender </labl> <qstn> <qstnLit> CSheet.31 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z1. R's sex is: ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Male </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Female </txt> </catgry> </catgryGrp> </var> <var name="v960067" ID="v960067" format="char" dcml="0"> <location cardNo="1" StartPos="137" width="1"/> <labl level="variable"> Pre. R race </labl> <qstn> <qstnLit> CSheet.32 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z2. R's race is: ------------------------------------------------------------------- For panel cases, if the interviewer did not complete this variable, the data from the 1994 coversheet was duplicated here. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> White </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Black </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> American indian or Alaskan native </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Asian or Pacific islander </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960068" ID="v960068" format="char" dcml="0"> <location cardNo="1" StartPos="138" width="2"/> <labl level="variable"> Pre. Others present during IW </labl> <qstn> <qstnLit> CSheet.33 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z3. Other persons present at the interview were (CHECK ALL THAT APPLY): ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> No one (no other box checked) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Children under 6 only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Older children only </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Children under 6 and older children </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Spouse only </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Spouse and children under 6 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Spouse and older children </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Spouse, children under 6, older children </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Other relatives only </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Other relatives and children under 6 </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Other relatives and older children </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Other relatives, children under 6, older children </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Other relatives and spouse </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Other relatives, spouse, children under 6 </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Other relatives, spouse, older children </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Other relatives, spouse, children under 6, older children </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> Other adults only </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> Other adults and children under 6 </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> Other adults and older children </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> Other adults, children under 6, older children </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Other adults and spouse </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Other adults, spouse, children under 6 </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Other adults, spouse, older children </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Other adults, spouse, children under 6, older children </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> Other adults and other relatives </txt> </catgry> <catgry> <catValu> 26 </catValu> <txt level="category"> Other adults, other relatives, children under 6 </txt> </catgry> <catgry> <catValu> 27 </catValu> <txt level="category"> Other adults, other relatives, older children </txt> </catgry> <catgry> <catValu> 28 </catValu> <txt level="category"> Other adults, other relatives, children under 6, older children </txt> </catgry> <catgry> <catValu> 29 </catValu> <txt level="category"> Other adults, other relatives, spouse </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Other adults, other relatives, spouse, children under 6 </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Other adults, other relatives, spouse, older children </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960069" ID="v960069" format="char" dcml="0"> <location cardNo="1" StartPos="140" width="1"/> <labl level="variable"> Pre. R's cooperation </labl> <qstn> <qstnLit> CSheet.34 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z4. R's cooperation was: ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very good </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Good </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Fair </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Poor </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very poor </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960070" ID="v960070" format="char" dcml="0"> <location cardNo="1" StartPos="141" width="1"/> <labl level="variable"> Pre. R's general level of info about politics, public affairs </labl> <qstn> <qstnLit> CSheet.35 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z5. R's general level of information about politics and public affairs seemed: ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very high </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly high </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Average </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Fairly low </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very low </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960071" ID="v960071" format="char" dcml="0"> <location cardNo="1" StartPos="142" width="1"/> <labl level="variable"> Pre. R's apparent intelligence </labl> <qstn> <qstnLit> CSheet.36 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z6. Rate R's apparent intelligence: ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very high </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly high </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Average </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Fairly low </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very low </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960072" ID="v960072" format="char" dcml="0"> <location cardNo="1" StartPos="143" width="1"/> <labl level="variable"> Pre. How suspicious did R seem to be about the study </labl> <qstn> <qstnLit> CSheet.37 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z7. How suspicious did R seem to be about the study, before the interview? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Not at all suspicious </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat suspicious </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very suspicious </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960073" ID="v960073" format="char" dcml="0"> <location cardNo="1" StartPos="144" width="1"/> <labl level="variable"> Pre. R's interest in the interview </labl> <qstn> <qstnLit> CSheet.38 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. Overall, how great was R's interest in the interview? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very high </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Above average </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Average </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Below average </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very low </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960074" ID="v960074" format="char" dcml="0"> <location cardNo="1" StartPos="145" width="1"/> <labl level="variable"> Pre. R's sincerity </labl> <qstn> <qstnLit> CSheet.39 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z9. How sincere did R seem to be in (his/her) answers? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Completely sincere </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Usually sincere </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Often seemed to be insincere </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960075" ID="v960075" format="char" dcml="0"> <location cardNo="1" StartPos="146" width="1"/> <labl level="variable"> Pre. Did R reported income correctly </labl> <qstn> <qstnLit> CSheet.40 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z10. Do you feel R reported income correctly? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, think R reported correctly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> No, think R reported incorrectly </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Refused income questions </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, think R reported dishonestly </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960076" ID="v960076" format="char" dcml="0"> <location cardNo="1" StartPos="147" width="2"/> <labl level="variable"> Pre. Estimate of what R's actual family income is </labl> <qstn> <qstnLit> CSheet.41 IF IWR FEELS THAT R DID NOT REPORT CORRECT INCOME / : IF R REFUSED INCOME QUESTIONS : PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z10a. If possible, give a reasonable estimate of what R's family income is: ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 1,9 in Z10 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> <$2999 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> $3.000-4,999 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> $5.000-6,999 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> $7.000-8,999 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> $9.000-9,999 </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> $10.000-10,999 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> $11.000-11,999 </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> $12.000-12,999 </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> $13.000-13,999 </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> $14.000-14,999 </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> $15.000-16,999 </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> $17.000-19,999 </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> $20.000-21,999 </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> $22.000-24,999 </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> $25.000-29,999 </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> $30.000-39,99 </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> $35,000-39,999 </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> $40,000-44,999 </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> $45,000-49,999 </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> $50,000-59,999 </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> $60,000-74,999 </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> $75,000 + </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960077" ID="v960077" format="char" dcml="0"> <location cardNo="1" StartPos="149" width="2"/> <labl level="variable"> Pre. R's reaction to interview 1 </labl> <qstn> <qstnLit> CSheet.42 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <1st mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry> <catValu> 80 </catValu> <txt level="category"> Neutral or no feedback (1st mention only) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960078" ID="v960078" format="char" dcml="0"> <location cardNo="1" StartPos="151" width="2"/> <labl level="variable"> Pre. R's reaction to interview 2 </labl> <qstn> <qstnLit> CSheet.43 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <2nd mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960079" ID="v960079" format="char" dcml="0"> <location cardNo="1" StartPos="153" width="2"/> <labl level="variable"> Pre. R's reaction to interview 3 </labl> <qstn> <qstnLit> CSheet.44 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <3rd mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960080" ID="v960080" format="char" dcml="0"> <location cardNo="1" StartPos="155" width="2"/> <labl level="variable"> Pre. R's reaction to interview 4 </labl> <qstn> <qstnLit> CSheet.45 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <4th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960081" ID="v960081" format="char" dcml="0"> <location cardNo="1" StartPos="157" width="2"/> <labl level="variable"> Pre. R's reaction to interview 5 </labl> <qstn> <qstnLit> CSheet.46 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <5th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960082" ID="v960082" format="char" dcml="0"> <location cardNo="1" StartPos="159" width="2"/> <labl level="variable"> Pre. R's reaction to interview 6 </labl> <qstn> <qstnLit> CSheet.47 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <6th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960083" ID="v960083" format="char" dcml="0"> <location cardNo="1" StartPos="161" width="2"/> <labl level="variable"> Pre. R's reaction to interview 7 </labl> <qstn> <qstnLit> CSheet.48 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <7th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960084" ID="v960084" format="char" dcml="0"> <location cardNo="1" StartPos="163" width="2"/> <labl level="variable"> Pre. R's reaction to interview 8 </labl> <qstn> <qstnLit> CSheet.49 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <8th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960085" ID="v960085" format="char" dcml="0"> <location cardNo="1" StartPos="165" width="2"/> <labl level="variable"> Pre. R's reaction to interview 9 </labl> <qstn> <qstnLit> CSheet.50 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <9th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960086" ID="v960086" format="char" dcml="0"> <location cardNo="1" StartPos="167" width="2"/> <labl level="variable"> Pre. R's reaction to interview 10 </labl> <qstn> <qstnLit> CSheet.51 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <10th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960087" ID="v960087" format="char" dcml="0"> <location cardNo="1" StartPos="169" width="2"/> <labl level="variable"> Pre. R's reaction to interview 11 </labl> <qstn> <qstnLit> CSheet.52 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <11th mention> ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview PROCESS </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not black/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read respondent booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant",etc.) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; inap, no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960088" ID="v960088" format="char" dcml="0"> <location cardNo="1" StartPos="171" width="4"/> <labl level="variable"> Pre. Interviewer of record ID </labl> <qstn> <qstnLit> IWR.1 Pre Interviewer of record ID ------------------------------------------------------------------- Interviewer's 4-digit ID and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9999"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960089" ID="v960089" format="char" dcml="0"> <location cardNo="1" StartPos="175" width="4"/> <labl level="variable"> Pre. Supervisor ID </labl> <qstn> <qstnLit> IWR.2 Pre Supervisor ID ------------------------------------------------------------------- Field Supervisor's 4-digit ID and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9999"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960090" ID="v960090" format="char" dcml="0"> <location cardNo="1" StartPos="179" width="1"/> <labl level="variable"> Pre. Interviewer gender </labl> <qstn> <qstnLit> IWR.3 Pre Interviewer gender ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Male </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Female </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960091" ID="v960091" format="char" dcml="0"> <location cardNo="1" StartPos="180" width="1"/> <labl level="variable"> Pre. Interviewer education </labl> <qstn> <qstnLit> IWR.4 Pre Interviewer education ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> 1-8 grades </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Some high school </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> High school graduate </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Some college </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> College degree </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Master's degree </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Phd </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960092" ID="v960092" format="char" dcml="0"> <location cardNo="1" StartPos="181" width="1"/> <labl level="variable"> Pre. Interviewer race </labl> <qstn> <qstnLit> IWR.5 Pre Interviewer race ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> White </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Black </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Native American </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Asian </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960093" ID="v960093" format="char" dcml="0"> <location cardNo="1" StartPos="182" width="1"/> <labl level="variable"> Pre. Interviewer ethnicity </labl> <qstn> <qstnLit> IWR.6 Pre Interviewer ethnicicty ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No ethnic identity coded </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Hispanic </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960094" ID="v960094" format="char" dcml="0"> <location cardNo="1" StartPos="183" width="1"/> <labl level="variable"> Pre. Interviewer languages </labl> <qstn> <qstnLit> IWR.7 Pre Interviewer languages ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> English (only) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Spanish </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> </catgryGrp> </var> <var name="v960095" ID="v960095" format="char" dcml="0"> <location cardNo="1" StartPos="184" width="2"/> <labl level="variable"> Pre. Interviewer experience </labl> <qstn> <qstnLit> IWR.8 Pre Interviewer experience ------------------------------------------------------------------- Interviewer's years of experience, and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960096" ID="v960096" format="char" dcml="0"> <location cardNo="1" StartPos="186" width="1"/> <labl level="variable"> Pre. Interviewer age (bracketed) </labl> <qstn> <qstnLit> IWR.9 Pre interviewer age (bracketted) ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> 18-34 years </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 35-40 years </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 41-45 years </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 46-50 years </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 51-55 years </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> 56-60 years </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> 61-64 years </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> 65-79 years </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960097" ID="v960097" format="char" dcml="0"> <location cardNo="1" StartPos="187" width="2"/> <labl level="variable"> Pre. House race type </labl> <qstn> <qstnLit> Cand.1 House race type ------------------------------------------------------------------- Codes represent type of race in the congressional district of R's 1996 interview location. For a complete list of codes usable for type of congressional race, see RACE TYPE Master Code. Note: 14 interviews were conducted before the status of the congressional race in R's district assumed its final form. These cases are flagged in V960127, and the race type projected at the time the interview was administered is documented in V960128. In these cases survey data are consistent with V960128. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Washington D.C. </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Democrat incumbent running -- Republican challenger </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Democrat incumbent running unopposed </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Republican incumbent running -- Democratic challenger </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Republican incumbent running unopposed </txt> </catgry> <catgry> <catValu> 55 </catValu> <txt level="category"> Democratic incumbent not running -- Democratic and Republican candidates </txt> </catgry> <catgry> <catValu> 65 </catValu> <txt level="category"> Republican incumbent not running -- Democratic and Republican candidates </txt> </catgry> </catgryGrp> </var> <var name="v960098" ID="v960098" format="char" dcml="0"> <location cardNo="1" StartPos="189" width="2"/> <labl level="variable"> Pre. Senate race type </labl> <qstn> <qstnLit> Cand.2 Senate race type ------------------------------------------------------------------- Codes represent type of race in 1996 sample state. For a complete list of codes usable for type of Senate race, see RACE TYPE Master Code. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, Washington DC </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Democratic incumbent running -- Republican challenger </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Republican incumbent running -- Democratic challenger </txt> </catgry> <catgry> <catValu> 55 </catValu> <txt level="category"> Democratic incumbent not running -- Democratic and Republican candidates </txt> </catgry> <catgry> <catValu> 65 </catValu> <txt level="category"> Republican incumbent not running -- Democratic and Republican candidates </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Democratic incumbents -- no race in state </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> Republican incumbents -- no race in state </txt> </catgry> <catgry> <catValu> 85 </catValu> <txt level="category"> Democratic and Republican incumbents -- no race in state </txt> </catgry> <catgry> <catValu> 95 </catValu> <txt level="category"> Two senate races in state (Kansas only) </txt> </catgry> </catgryGrp> </var> <var name="v960099" ID="v960099" format="char" dcml="0"> <location cardNo="1" StartPos="191" width="2"/> <labl level="variable"> Pre. Democratic House candidate code </labl> <qstn> <qstnLit> Cand.3 Democratic House candidate code ------------------------------------------------------------------- See the CANDIDATE NUMBER Master codes. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> No Democratic House candidate (type race 24); Washington DC </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Open race Democratic House candidate </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Incumbent Democratic House candidate </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Challenging democratic House candidate </txt> </catgry> </catgryGrp> </var> <var name="v960100" ID="v960100" format="char" dcml="0"> <location cardNo="1" StartPos="193" width="2"/> <labl level="variable"> Pre. Republican House candidate code </labl> <qstn> <qstnLit> Cand.4 Republican House candidate code ------------------------------------------------------------------- See the CANDIDATE NUMBER Master codes. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> No Republican House candidate (type race 14); Washington DC </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Open race Republican House candidate </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Incumbent Republican House candidate </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Challenging Republican House candidate </txt> </catgry> </catgryGrp> </var> <var name="v960101" ID="v960101" format="char" dcml="0"> <location cardNo="1" StartPos="195" width="2"/> <labl level="variable"> Pre. Retiring House Representative code </labl> <qstn> <qstnLit> Cand.5 Retiring House Representative code ------------------------------------------------------------------- See the CANDIDATE NUMBER Master codes. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> No retiring Representative (type race 12,14,21,24); Washington DC </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> Retiring Democratic House Representative </txt> </catgry> <catgry> <catValu> 42 </catValu> <txt level="category"> Retiring Republican House Representative </txt> </catgry> </catgryGrp> </var> <var name="v960102" ID="v960102" format="char" dcml="0"> <location cardNo="1" StartPos="197" width="2"/> <labl level="variable"> Pre. Democratic Senate candidate code </labl> <qstn> <qstnLit> Cand.6 Democratic Senate candidate code ------------------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the candidate in the regular Senate race. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> No race in state; Washington DC </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Open race Democratic Senate candidate </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Incumbent Democratic Senate candidate </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Challenging Democratic Senate candidate </txt> </catgry> </catgryGrp> </var> <var name="v960103" ID="v960103" format="char" dcml="0"> <location cardNo="1" StartPos="199" width="2"/> <labl level="variable"> Pre. Republican Senate candidate code </labl> <qstn> <qstnLit> Cand.7 Republican Senate candidate code ------------------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the candidate in the regular Senate race. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> No race in state; Washington DC </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Open Race Republican Senate candidate </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Incumbent Republican Senate candidate </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Challenging Republican Senate candidate </txt> </catgry> </catgryGrp> </var> <var name="v960104" ID="v960104" format="char" dcml="0"> <location cardNo="1" StartPos="201" width="2"/> <labl level="variable"> Pre. Retiring Senator code </labl> <qstn> <qstnLit> Cand.8 Retiring Senator candidate code ------------------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the regular Senate race. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> No race in state; no retiring senator (type race 12,14,21,24); Washington DC </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> Democratic Senator, Term Not Up (state with 1 race) </txt> </catgry> <catgry> <catValu> 29 </catValu> <txt level="category"> Republican Senator, Term Not Up (state with 1 race) </txt> </catgry> </catgryGrp> </var> <var name="v960105" ID="v960105" format="char" dcml="0"> <location cardNo="1" StartPos="203" width="4"/> <labl level="variable"> Pre. State abbreviation and congressional district </labl> <qstn> <qstnLit> Sample.1 1996 State abbreviation and congressional district ------------------------------------------------------------------- This variable provides the state (2-character Postal abbreviation) and congressional district in which R was residing at the time of the 1996 study. </qstnLit> </qstn> </var> <var name="v960105a" ID="v960105a" format="char" dcml="0"> <location cardNo="1" StartPos="207" width="4"/> <labl level="variable"> Pre. State and CD of Rs who voted out of CD of Interview </labl> <qstn> <qstnLit> Sample.1A State and congressional district of Rs who voted out of CD ------------------------------------------------------------------- This variable is alpha. In the first two characters are the Postal state abbreviation, in the last two characters the Congression district number. For Rs who answered "No" when asked if they voted within the county of their residence, an attempt was made to determine the CD where R voted. An attempt was also made to pursue any other indications that R voted in a CD other than the one identified in question Sample1. If the state of R's vote is determined but not the CD, then the state has been coded in the first two characters and the CD is represented as "99." If it has been determined that R voted out of the CD of residence but the location of vote (state and CD) was not identified, then 9999 has been coded. 9995. Inap, R voted in same CD as V105 (voted in county or out of county) 9997. Inap, nonvoter 9999. R voted out of CD, CD NA 0000. Inap, no Post IW </qstnLit> </qstn> </var> <var name="v960106" ID="v960106" format="char" dcml="0"> <location cardNo="1" StartPos="211" width="4"/> <labl level="variable"> Pre. State code and congressional district </labl> <qstn> <qstnLit> Sample.2 1996 State and congressional district ------------------------------------------------------------------- This variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1996 study. State code resides in first 2 digits, CD number in last 2 digits. </qstnLit> </qstn> </var> <var name="v960106a" ID="v960106a" format="char" dcml="0"> <location cardNo="1" StartPos="215" width="4"/> <labl level="variable"> Pre. State and Congressional District 1994 (Panel) </labl> <qstn> <qstnLit> Sample.3 1994 State and Congressional District (Panel cases) ------------------------------------------------------------------- For the Panel component, this variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1994 study. State code resides in first 2 digits, CD number in last 2 digits. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section </txt> </catgry> </catgryGrp> </var> <var name="v960106b" ID="v960106b" format="char" dcml="0"> <location cardNo="1" StartPos="219" width="4"/> <labl level="variable"> Pre. State and Congressional District 1992 (Panel) </labl> <qstn> <qstnLit> Sample.4 1992 State and Congressional District (Panel cases) ------------------------------------------------------------------- For the Panel component, if R was originally selected in 1992, this variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1992 study. State code resides in first 2 digits, CD number in last 2 digits. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section; panel case not interviewed in 1992 (selected in 1994) </txt> </catgry> </catgryGrp> </var> <var name="v960106c" ID="v960106c" format="char" dcml="0"> <location cardNo="1" StartPos="223" width="4"/> <labl level="variable"> Pre. State and Congressional District 1993 (Panel) </labl> <qstn> <qstnLit> Sample.5 1993 State and Congressional District (Panel cases) ------------------------------------------------------------------- For the Panel component, if R was originally selected in 1992, this is the state (ICPSR state code) and congressional district where R was residing in 1993 if R participated in the 1993 Pilot. Note that a comparable variable is not available for the 1995 Pilot; in the 1995 Pilot CD of respondent was not determined. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section; 1994 cross-section; R not interviewed in 1993 </txt> </catgry> </catgryGrp> </var> <var name="v960107" ID="v960107" format="char" dcml="0"> <location cardNo="1" StartPos="227" width="2"/> <labl level="variable"> Pre. Congressional district number </labl> <qstn> <qstnLit> Sample.6 Congressional district number ------------------------------------------------------------------- This refers to the congressional district in which R was residing at the time of the 1996 interview. Codes 1-52. </qstnLit> </qstn> </var> <var name="v960108" ID="v960108" format="char" dcml="0"> <location cardNo="1" StartPos="229" width="2"/> <labl level="variable"> Pre. FIPS state code </labl> <qstn> <qstnLit> Sample.7 FIPS state code - R's 1996 Interview location ------------------------------------------------------------------- This is the FIPS [Federal Information Processing Standards] code of the state in which R was residing at the time of the 1996 interview. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Alabama </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Alaska </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Arizona </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Arkansas </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> California </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Colorado </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Connecticut </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Delaware </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Washington DC </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Florida </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Georgia </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Hawaii </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Idaho </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> Illinois </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> Indiana </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> Iowa </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> Kansas </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Kentucky </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Louisiana </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Maine </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Maryland </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> Massachusetts </txt> </catgry> <catgry> <catValu> 26 </catValu> <txt level="category"> Michigan </txt> </catgry> <catgry> <catValu> 27 </catValu> <txt level="category"> Minnesota </txt> </catgry> <catgry> <catValu> 28 </catValu> <txt level="category"> Mississippi </txt> </catgry> <catgry> <catValu> 29 </catValu> <txt level="category"> Missouri </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Montana </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Nebraska </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Nevada </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> New Hampshire </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> New Jersey </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> New Mexico </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> New York </txt> </catgry> <catgry> <catValu> 37 </catValu> <txt level="category"> North Carolina </txt> </catgry> <catgry> <catValu> 38 </catValu> <txt level="category"> North Dakota </txt> </catgry> <catgry> <catValu> 39 </catValu> <txt level="category"> Ohio </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> Oklahoma </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> Oregon </txt> </catgry> <catgry> <catValu> 42 </catValu> <txt level="category"> Pennsylvania </txt> </catgry> <catgry> <catValu> 44 </catValu> <txt level="category"> Rhode Island </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> South Carolina </txt> </catgry> <catgry> <catValu> 46 </catValu> <txt level="category"> South Dakota </txt> </catgry> <catgry> <catValu> 47 </catValu> <txt level="category"> Tennessee </txt> </catgry> <catgry> <catValu> 48 </catValu> <txt level="category"> Texas </txt> </catgry> <catgry> <catValu> 49 </catValu> <txt level="category"> Utah </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> Vermont </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> Virginia </txt> </catgry> <catgry> <catValu> 53 </catValu> <txt level="category"> Washington </txt> </catgry> <catgry> <catValu> 54 </catValu> <txt level="category"> West Virginia </txt> </catgry> <catgry> <catValu> 55 </catValu> <txt level="category"> Wisconsin </txt> </catgry> <catgry> <catValu> 56 </catValu> <txt level="category"> Wyoming </txt> </catgry> </catgryGrp> </var> <var name="v960109" ID="v960109" format="char" dcml="0"> <location cardNo="1" StartPos="231" width="2"/> <labl level="variable"> Pre. ICPSR state code of Interview Location </labl> <qstn> <qstnLit> Sample.8 ICPSR state code of Interview Location ------------------------------------------------------------------- This refers to the state (ICPSR code) in which R was residing at the time of the 1996 interview. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Connecticut </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Maine </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Massachusetts </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> New Hampshire </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Rhode Island </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Vermont </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Delaware </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> New Jersey </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> New York </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Pennsylvania </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Illinois </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Indiana </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Michigan </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Ohio </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> Wisconsin </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Iowa </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Kansas </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Minnesota </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Missouri </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Nebraska </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> North Dakota </txt> </catgry> <catgry> <catValu> 37 </catValu> <txt level="category"> South Dakota </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> Virginia </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> Alabama </txt> </catgry> <catgry> <catValu> 42 </catValu> <txt level="category"> Arkansas </txt> </catgry> <catgry> <catValu> 43 </catValu> <txt level="category"> Florida </txt> </catgry> <catgry> <catValu> 44 </catValu> <txt level="category"> Georgia </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> Louisiana </txt> </catgry> <catgry> <catValu> 46 </catValu> <txt level="category"> Mississippi </txt> </catgry> <catgry> <catValu> 47 </catValu> <txt level="category"> North Carolina </txt> </catgry> <catgry> <catValu> 48 </catValu> <txt level="category"> South Carolina </txt> </catgry> <catgry> <catValu> 49 </catValu> <txt level="category"> Texas </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> Kentucky </txt> </catgry> <catgry> <catValu> 52 </catValu> <txt level="category"> Maryland </txt> </catgry> <catgry> <catValu> 53 </catValu> <txt level="category"> Oklahoma </txt> </catgry> <catgry> <catValu> 54 </catValu> <txt level="category"> Tennessee </txt> </catgry> <catgry> <catValu> 55 </catValu> <txt level="category"> Washington DC </txt> </catgry> <catgry> <catValu> 56 </catValu> <txt level="category"> West Virginia </txt> </catgry> <catgry> <catValu> 61 </catValu> <txt level="category"> Arizona </txt> </catgry> <catgry> <catValu> 62 </catValu> <txt level="category"> Colorado </txt> </catgry> <catgry> <catValu> 63 </catValu> <txt level="category"> Idaho </txt> </catgry> <catgry> <catValu> 64 </catValu> <txt level="category"> Montana </txt> </catgry> <catgry> <catValu> 65 </catValu> <txt level="category"> Nevada </txt> </catgry> <catgry> <catValu> 66 </catValu> <txt level="category"> New Mexico </txt> </catgry> <catgry> <catValu> 67 </catValu> <txt level="category"> Utah </txt> </catgry> <catgry> <catValu> 68 </catValu> <txt level="category"> Wyoming </txt> </catgry> <catgry> <catValu> 71 </catValu> <txt level="category"> California </txt> </catgry> <catgry> <catValu> 72 </catValu> <txt level="category"> Oregon </txt> </catgry> <catgry> <catValu> 73 </catValu> <txt level="category"> Washington </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Alaska </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> Hawaii </txt> </catgry> </catgryGrp> </var> <var name="v960110" ID="v960110" format="char" dcml="0"> <location cardNo="1" StartPos="233" width="5"/> <labl level="variable"> Pre. FIPS state and county </labl> <qstn> <qstnLit> Sample.9 FIPS state and county ------------------------------------------------------------------- The FIPS State code is represented in digits 1 and 2 of this variable, the FIPS County code in the last 3 digits. For the Panel component, this variable refers to the location of the state and county from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects the location of the state and county from which the respondent was selected in 1996. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="99998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> </var> <var name="v960111" ID="v960111" format="char" dcml="0"> <location cardNo="1" StartPos="238" width="20"/> <labl level="variable"> Pre. Primary area name </labl> <qstn> <qstnLit> Sample.10 Primary Area (PSU) Name ------------------------------------------------------------------- This is the Primary Selection Unit (PSU) name. For the Panel component, this variable refers to the location of the Primary Area from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects the location of the Primary Area from which the respondent was selected in 1996. </qstnLit> </qstn> </var> <var name="v960112" ID="v960112" format="char" dcml="0"> <location cardNo="1" StartPos="258" width="3"/> <labl level="variable"> Pre. Primary area code </labl> <qstn> <qstnLit> Sample.11 Primary Area code ------------------------------------------------------------------- This is the Primary Selection Unit (PSU) code. First digits in the range 1,2,3 represent PSUs in the Cross-section component of the sample; first digits 4,5,6 represent PSUs in the 1996 Panel. For the Panel component, this variable refers to the location of the Primary Area from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects the location of the Primary Area from which the respondent was selected in 1996. The first digits used with each of the 2-digit codes appears in parentheses. The slash "/" separates descriptions of distinct codes used for the cross-section/panel. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 01 </catValu> <txt level="category"> New York NY (5) </txt> </catgry> <catgry> <catValu> 02 </catValu> <txt level="category"> Los Angeles CA (5) </txt> </catgry> <catgry> <catValu> 03 </catValu> <txt level="category"> Chicago IL (5) </txt> </catgry> <catgry> <catValu> 04 </catValu> <txt level="category"> Philadelphia PA (5) </txt> </catgry> <catgry> <catValu> 05 </catValu> <txt level="category"> Detroit MI (5) </txt> </catgry> <catgry> <catValu> 06 </catValu> <txt level="category"> San Francisco CA (5) </txt> </catgry> <catgry> <catValu> 07 </catValu> <txt level="category"> Washington DC-MD-VA (5) </txt> </catgry> <catgry> <catValu> 08 </catValu> <txt level="category"> Dallas-Ft Worth TX (5) </txt> </catgry> <catgry> <catValu> 09 </catValu> <txt level="category"> Houston TX (5) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Boston MA (1,5) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> New Haven CT/ Nassau-Suffolk NY (2/5) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> St. Louis MO-IL (5) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Manchester-Nashua NH/ Pittsburgh PA (2/5) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Baltimore MD (5) </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Minneapolis MN-WI (5) </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Atlanta GA (5) </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> Buffalo NY (5) </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> Newark NJ (5) </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> New York NY/ Buffalo NY/ Elk Co. PA (1/2/3) </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Philadelphia PA-NJ/ New Haven CT (1/5) </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Nassau-Suffolk NY (1) </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Atlantic City NJ (5) </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Manchester NH (5) </txt> </catgry> <catgry> <catValu> 26 </catValu> <txt level="category"> Atlantic City NJ/ Milwaukee WI (2/5) </txt> </catgry> <catgry> <catValu> 27 </catValu> <txt level="category"> Dayton OH (5) </txt> </catgry> <catgry> <catValu> 28 </catValu> <txt level="category"> Kansas City MO-KS (5) </txt> </catgry> <catgry> <catValu> 29 </catValu> <txt level="category"> Des Moines (5) </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Chicago IL/ Milwaukee WI (1/2) </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Detroit MI/ Grand Rapids MI (1/5) </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Cleveland OH/Switzerland-Ohio IN/ Fort Wayne IN (1/3/5) </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Steubenville OH-WV (5) </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Saginaw MI (5) </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Madison WI/ Birmingham AL (2/5) </txt> </catgry> <catgry> <catValu> 39 </catValu> <txt level="category"> Wheeling-Steubenville WV-OH/ Columbus GA-AL (2/5) </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> Des Moines IA/ Miami FL (2/5) </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> St. Louis MO-IL (1) </txt> </catgry> <catgry> <catValu> 42 </catValu> <txt level="category"> Taney Co. MO/ Jacksonville FL (3/5,6) </txt> </catgry> <catgry> <catValu> 43 </catValu> <txt level="category"> Lakeland FL (5) </txt> </catgry> <catgry> <catValu> 44 </catValu> <txt level="category"> McAllen TX (5) </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> Waco TX (5) </txt> </catgry> <catgry> <catValu> 47 </catValu> <txt level="category"> Wheeling WV-OH (5) </txt> </catgry> <catgry> <catValu> 49 </catValu> <txt level="category"> Knoxville TN (5) </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> Washington DC/Richmond-Petersburg VA (1/2,5) </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> Harrisonburg VA (3) </txt> </catgry> <catgry> <catValu> 52 </catValu> <txt level="category"> Baltimore MD (1) </txt> </catgry> <catgry> <catValu> 53 </catValu> <txt level="category"> Seattle WA (5) </txt> </catgry> <catgry> <catValu> 54 </catValu> <txt level="category"> Miami-Hialeh FL/Whitfield Co. GA (1/3) </txt> </catgry> <catgry> <catValu> 55 </catValu> <txt level="category"> Columbus GA-AL/ Denver CO (2/5) </txt> </catgry> <catgry> <catValu> 56 </catValu> <txt level="category"> Anaheim CA (5) </txt> </catgry> <catgry> <catValu> 57 </catValu> <txt level="category"> Jacksonville FL/ Riverside CA (2/5) </txt> </catgry> <catgry> <catValu> 58 </catValu> <txt level="category"> Lakeland-WinterHaven FL/ Fresno CA (2/5) </txt> </catgry> <catgry> <catValu> 59 </catValu> <txt level="category"> Eugene OR (5) </txt> </catgry> <catgry> <catValu> 60 </catValu> <txt level="category"> Knoxville TN/ Phoenix AZ (2/5) </txt> </catgry> <catgry> <catValu> 62 </catValu> <txt level="category"> Birmingham AL (2) </txt> </catgry> <catgry> <catValu> 63 </catValu> <txt level="category"> Schuyler Co. NY (4) </txt> </catgry> <catgry> <catValu> 64 </catValu> <txt level="category"> Gardner MA (4) </txt> </catgry> <catgry> <catValu> 65 </catValu> <txt level="category"> Sanilac Co. MI (4) </txt> </catgry> <catgry> <catValu> 68 </catValu> <txt level="category"> Saline Co. NE (4) </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> Houston TX/ Jim Wells Co. TX/ Mower Co. MN (1,3/4) </txt> </catgry> <catgry> <catValu> 71 </catValu> <txt level="category"> Dallas-Ft Worth TX (1) </txt> </catgry> <catgry> <catValu> 73 </catValu> <txt level="category"> Waco TX/ Bulloch Co. GA (2/4) </txt> </catgry> <catgry> <catValu> 74 </catValu> <txt level="category"> McAllen TX/ Sabine Co. LA (2/4) </txt> </catgry> <catgry> <catValu> 76 </catValu> <txt level="category"> Hale Co. TX (4) </txt> </catgry> <catgry> <catValu> 77 </catValu> <txt level="category"> Ashley Co. AR (4) </txt> </catgry> <catgry> <catValu> 78 </catValu> <txt level="category"> Bedford Co. TN (4) </txt> </catgry> <catgry> <catValu> 80 </catValu> <txt level="category"> Salt Lake City-Ogden UT/ Montgomery Co. VA (2/4,6) </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Denver CO/ Sandoval Co. NM/ Robeson Co. NC (1/3/4) </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> El Dorado Co. CA (4) </txt> </catgry> <catgry> <catValu> 84 </catValu> <txt level="category"> Carbon Co. WY (4) </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> Los Angeles CA (1) </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> Seattle/Tacoma WA (1) </txt> </catgry> <catgry> <catValu> 92 </catValu> <txt level="category"> Fresno CA (2) </txt> </catgry> <catgry> <catValu> 93 </catValu> <txt level="category"> Eugene-Springfield OR (2) </txt> </catgry> <catgry> <catValu> 94 </catValu> <txt level="category"> Anaheim CA (1) </txt> </catgry> <catgry> <catValu> 96 </catValu> <txt level="category"> San Francisco CA (1) </txt> </catgry> </catgryGrp> </var> <var name="v960113" ID="v960113" format="char" dcml="0"> <location cardNo="1" StartPos="261" width="1"/> <labl level="variable"> Pre. Segment Number </labl> <qstn> <qstnLit> Sample.12 Segment Number ------------------------------------------------------------------- For the Panel component, this variable refers to the location of the area segment from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects the location of the area segment from which the respondent was selected in 1996. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. </qstnLit> </qstn> </var> <var name="v960114" ID="v960114" format="char" dcml="0"> <location cardNo="1" StartPos="262" width="1"/> <labl level="variable"> Pre. Number of household units </labl> <qstn> <qstnLit> Sample.13 Number of Household Units ------------------------------------------------------------------- This describes the household of R's location at the time of the 1996 interview. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Inap, Panel case </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One HU </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two HUs </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three HUs </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960115" ID="v960115" format="char" dcml="0"> <location cardNo="1" StartPos="263" width="1"/> <labl level="variable"> Pre. 1996 Census region of Interview Location </labl> <qstn> <qstnLit> Sample.14 1996 Census Region - Interview Location ------------------------------------------------------------------- For Panel respondents, this is the region of R's interview location in 1996. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) </txt> </catgry> </catgryGrp> </var> <var name="v960116" ID="v960116" format="char" dcml="0"> <location cardNo="1" StartPos="264" width="1"/> <labl level="variable"> Pre. Census Region in 1994 (Panel Respondents) </labl> <qstn> <qstnLit> Sample.15 Census Region in 1994 (Panel Respondents) ------------------------------------------------------------------- For Panel respondents, this is the region of R's location in 1994. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) </txt> </catgry> </catgryGrp> </var> <var name="v960117" ID="v960117" format="char" dcml="0"> <location cardNo="1" StartPos="265" width="1"/> <labl level="variable"> Pre. Census Region in 1992 (Panel Respondents) </labl> <qstn> <qstnLit> Sample.16 Census Region in 1992 (Panel Respondents) ------------------------------------------------------------------- For Panel respondents, this is the region of R's location in 1992 (if R was originally selected in 1992). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) </txt> </catgry> </catgryGrp> </var> <var name="v960118" ID="v960118" format="char" dcml="0"> <location cardNo="1" StartPos="266" width="1"/> <labl level="variable"> Pre. Belt Code </labl> <qstn> <qstnLit> Sample.17 Belt Code ------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix F). For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects R's location where selected in 1996. Coded according to the 1990 Census and 1990 Office of Management and Budget (OMB) definitions, 1990 Census Population reports (as reported in the 1992 Annual Metro, City and County Data book) and 1990 Census "urbanized area" (as shown in the 1994 Rand McNally Road Atlas - 70th edition. For segments from the 1980 National Sample Frame, code 1 includes all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as SRP Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus six other non-selfrepresenting primary areas included within the population over 2,000,000' definition (Miami-Fort Lauderdale, FL CMSA, Cleveland-Akron-Lorain, OH CMSA, Seattle-Tacoma, WA CMSA, San Diego, CA MSA, Phoenix AZ MSA and Tampa-St Petersburg-Clearwater, FL MSA) For Segments from the 1990 National Sample Frame, code 1 includes all except two of the 28 1990 National Sample Frame self-representing areas. Central Cities of Denver, Co MSA and Kansas City MSA are NOT to be coded 1. Central Cities of all other self-representing areas of the 1990 National Sample Frame are coded 1 (including Nassau-Suffolk NY and Newark NJ as part of the NYC, NY-Northern NJ CMSA; Los Angeles, Anaheim, and Riverside CA as part of the LA-etc. CMSA; and San Francisco and Oakland CA as part of the SF-Oakland CA CMSA). For the most part, no 1990 Frame non-selfrepresenting MSA Central Cities are coded 1, except as noted below. [NOTE: In 1990, the PSU definition in New England states is the New England County Metropolitan Area (NECMA). This means that for the 1990 Frame segments in New England--there may be Central Cities of MSAs included in the NECMA definition that are not in the CMSA/MSA definition. For example, in Boston MA (1990 frame) the Central Cities include not only those for Boston MSA but some from other New England MSAs -- some of which could be outside of the Boston CMSA definition and could be coded 2'. It also means that in the Manchester-Nashua NH NECMA (non-selfrepresenting) there are two segment selections in Nashua, NH (central city of Nashua MA PMSA) which is part of the Boston MA CMSA and has therefore been coded 1'.] Central Cities - as designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, D.C. (June 1990). Six largest CMSAs - Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38."70 Largest Metropolitan Areas--Racial and Hispanic Origin Populations: 1990" Pp 33. Suburbs - defined as all "urbanized areas" in the Primary Area exclusive of the areas coded 1' and 2' above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: For segments from the 1980 Frame only, in the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which includes a central city.) See also the note under code 1' for the 1990 Frame. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Central Cities of the six largest (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus the 15 next largest CMSA/MSAs (population over 2,000,000) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Central Cities of CMSAs and MSAs with fewer than 2,000,000 population (exclusive of these in the 21 largest CMSA/MSAs -- code 1) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Suburbs of the six largest CMSA/MSAs </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Suburb of all other CMSA/MSAs </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within 50 miles of the central business district of a central city </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Outlying Area: includes all territory more than 50 miles from the central business district of a central city </txt> </catgry> </catgryGrp> </var> <var name="v960119" ID="v960119" format="char" dcml="0"> <location cardNo="1" StartPos="267" width="4"/> <labl level="variable"> Pre. Population in 1000s </labl> <qstn> <qstnLit> Sample.18 Population in 1000s ------------------------------------------------------------------- For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects R's location where selected in 1996. The actual 1990 Census Place population is coded in thousands, rounding to the nearest whole thousand (from the 1990 Population total for the city/place as reported in the 1992 Annual Metro City and County Data Book). </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0000 </catValu> <txt level="category"> Rural place, no defined Census Place, or Census Place with fewer than 500 persons </txt> </catgry> <catgry> <catValu> 9999 </catValu> <txt level="category"> 9,998,500 persons or over </txt> </catgry> </catgryGrp> </var> <var name="v960120" ID="v960120" format="char" dcml="0"> <location cardNo="1" StartPos="271" width="2"/> <labl level="variable"> Pre. Size of Place </labl> <qstn> <qstnLit> Sample.19 Size of Place ------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix F). For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. Forthe Cross-section component, this reflects R's location where selected in 1996. Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large citites. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. Note for Codes 50-53: in a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown. This occurred in El Dorado county CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento CA MSA, and also for one SSU (segment) in the Gardner MA PSU (#64), which is now a part of the Worchester MA MSA. THE 6 LARGEST CMSAs PLUS THE 15 NEXT LARGEST CMSAs/MSAs (i.e., those coded 1 or 3 [possibly 5, rarely, 6] on the Belt Code: </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 11 </catValu> <txt level="category"> Central Cities (these would have been coded 1 on the Belt Code) SUBURBS OF THE 6 LARGEST CMSAs AND THE 15 NEXT LARGEST CMSAs/MSAs (coded 3, possibly 5, or rarely, 6) on the Belt Code: </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> Rural (including rural places with less than 2,500 population) </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> 10,000-29,999 </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> 30,000-49,999 </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> 50,000-99,999 </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> 100,000-149,999 </txt> </catgry> <catgry> <catValu> 26 </catValu> <txt level="category"> 150,000-349,999 </txt> </catgry> <catgry> <catValu> 27 </catValu> <txt level="category"> 350,000 and over, exclusive of cities coded 11 CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (exclusive of those in the six largests CMSAs and 15 next largest CMSA/MSAs): CENTRAL CITIES IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 2 on Belt Code): </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Under 50,000 (identified by OMB, June 1990, as Central Cities) </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> 50-000-99,999 </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> 100,000-149,999 </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> 150,000-349,999 </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> 350,000 and over SUBURBS IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 4 or 5 and, rarely 6 in Belt Code): </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> Rural (including rural places with less than 2,500 population) </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> 2,500-9,999 </txt> </catgry> <catgry> <catValu> 42 </catValu> <txt level="category"> 10,000-29,999 </txt> </catgry> <catgry> <catValu> 43 </catValu> <txt level="category"> 30,000-49,999 </txt> </catgry> <catgry> <catValu> 44 </catValu> <txt level="category"> 50,000-99,999 </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> 100,000-149,999 </txt> </catgry> <catgry> <catValu> 46 </catValu> <txt level="category"> 150,000 and over "NON-CMSA/PMSA/MSAs": </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> Rural (including rural places with less than 2,500 population) </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> 2,500-9,999 </txt> </catgry> <catgry> <catValu> 52 </catValu> <txt level="category"> 10,000-29,999 </txt> </catgry> <catgry> <catValu> 53 </catValu> <txt level="category"> 30,000-49,999 </txt> </catgry> </catgryGrp> </var> <var name="v960121" ID="v960121" format="char" dcml="0"> <location cardNo="1" StartPos="273" width="1"/> <labl level="variable"> Pre. 1980 Census tract/ed indicator </labl> <qstn> <qstnLit> Sample.20 Census tract/ED indicator ------------------------------------------------------------------- For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects R's location where selected in 1996. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Tracted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Enumeration District (ED) </txt> </catgry> </catgryGrp> </var> <var name="v960122" ID="v960122" format="char" dcml="0"> <location cardNo="1" StartPos="274" width="3"/> <labl level="variable"> Pre. 1996 Sampling Error Code </labl> <qstn> <qstnLit> Sample.21 1996 Sampling Error Code ------------------------------------------------------------------- For Panel respondents who have moved, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and panel-only analysis. See 1996 NES Sampling documentation in appendix to this codebook. </qstnLit> </qstn> </var> <var name="v960122a" ID="v960122a" format="char" dcml="0"> <location cardNo="1" StartPos="277" width="3"/> <labl level="variable"> Pre. 1994 Sampling Error Code </labl> <qstn> <qstnLit> Sample.22 1994 Sampling Error code (Panel Respondents) ------------------------------------------------------------------- This 3 digit variable corresponds to V63 and V64 in the 1994 Study: the first 2 digits contain the 1994 Sampling Error Stratum code and the last digit represents the 1994 SECU or Sampling Error Computation Unit code. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="999"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> Inap, 1996 Cross-section </txt> </catgry> </catgryGrp> </var> <var name="v960122b" ID="v960122b" format="char" dcml="0"> <location cardNo="1" StartPos="280" width="3"/> <labl level="variable"> Pre. 1992 Sampling Error Code </labl> <qstn> <qstnLit> Sample.23 1992 Sampling Error code (Panel Respondents) ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="999"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> Inap, 1996 Cross-section; Panel case not interviewed in 1992 (first selected in 1994) </txt> </catgry> </catgryGrp> </var> <var name="v960123" ID="v960123" format="char" dcml="0"> <location cardNo="1" StartPos="283" width="4"/> <labl level="variable"> Pre. 1980 SMSA </labl> <qstn> <qstnLit> Sample.24 1980 Census SMSA (Standard Metropolitan Statistical Area) ------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix F). For Panel respondents who moved since their original NES contact (1992, 1994), the data corresponding to their original sampling address was coded here. These SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in characteristics of areas. In the 1996 NES data, the 1980 SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for the panel component of this sample, was most appropriate for all MSA or PMSA areas in that component. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1996 NES), there are two PSUs (#464, Gardner, MA, and #482, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (segment 009 in Gardner, MA, used in the 1996 panel, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worcester, MA, MSA, and all of the 1996 NES Panel segments in El Dorado/Alpine, CA,-- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> INAP; location not in SMSA (MSA) </txt> </catgry> <catgry> <catValu> 200 </catValu> <txt level="category"> Albuquerque NM </txt> </catgry> <catgry> <catValu> 360 </catValu> <txt level="category"> Anaheim-Santa Ana-Garden Grove, CA </txt> </catgry> <catgry> <catValu> 520 </catValu> <txt level="category"> Atlanta, GA </txt> </catgry> <catgry> <catValu> 560 </catValu> <txt level="category"> Atlantic City, NJ </txt> </catgry> <catgry> <catValu> 720 </catValu> <txt level="category"> Baltimore, MD </txt> </catgry> <catgry> <catValu> 1000 </catValu> <txt level="category"> Birmingham, AL </txt> </catgry> <catgry> <catValu> 1120 </catValu> <txt level="category"> Boston, MA </txt> </catgry> <catgry> <catValu> 1280 </catValu> <txt level="category"> Buffalo, NY </txt> </catgry> <catgry> <catValu> 1600 </catValu> <txt level="category"> Chicago, IL </txt> </catgry> <catgry> <catValu> 1680 </catValu> <txt level="category"> Cleveland OH </txt> </catgry> <catgry> <catValu> 1800 </catValu> <txt level="category"> Columbus, GA-AL </txt> </catgry> <catgry> <catValu> 1920 </catValu> <txt level="category"> Dallas-Ft Worth, TX </txt> </catgry> <catgry> <catValu> 2000 </catValu> <txt level="category"> Dayton, OH </txt> </catgry> <catgry> <catValu> 2080 </catValu> <txt level="category"> Denver-Boulder, CO </txt> </catgry> <catgry> <catValu> 2120 </catValu> <txt level="category"> Des Moines, IA </txt> </catgry> <catgry> <catValu> 2160 </catValu> <txt level="category"> Detroit, MI </txt> </catgry> <catgry> <catValu> 2400 </catValu> <txt level="category"> Eugene-Springfield, OR </txt> </catgry> <catgry> <catValu> 2760 </catValu> <txt level="category"> Fort Wayne, IN </txt> </catgry> <catgry> <catValu> 2840 </catValu> <txt level="category"> Fresno, CA </txt> </catgry> <catgry> <catValu> 3000 </catValu> <txt level="category"> Grand Rapids, MI </txt> </catgry> <catgry> <catValu> 3360 </catValu> <txt level="category"> Houston, TX </txt> </catgry> <catgry> <catValu> 3600 </catValu> <txt level="category"> Jacksonville, FL </txt> </catgry> <catgry> <catValu> 3760 </catValu> <txt level="category"> Kansas City, MO-KS </txt> </catgry> <catgry> <catValu> 3840 </catValu> <txt level="category"> Knoxville, TN </txt> </catgry> <catgry> <catValu> 3980 </catValu> <txt level="category"> Lakeland-Winter Haven, FL </txt> </catgry> <catgry> <catValu> 4480 </catValu> <txt level="category"> Los Angeles-Long Beach, CA </txt> </catgry> <catgry> <catValu> 4720 </catValu> <txt level="category"> Madison WI </txt> </catgry> <catgry> <catValu> 4760 </catValu> <txt level="category"> Manchester, NH </txt> </catgry> <catgry> <catValu> 4880 </catValu> <txt level="category"> McAllen-Pharr-Edinburgh, TX </txt> </catgry> <catgry> <catValu> 5000 </catValu> <txt level="category"> Miami, FL </txt> </catgry> <catgry> <catValu> 5080 </catValu> <txt level="category"> Milwaukee, WI </txt> </catgry> <catgry> <catValu> 5120 </catValu> <txt level="category"> Mpls-St Paul, MN-WI </txt> </catgry> <catgry> <catValu> 5350 </catValu> <txt level="category"> Nashua NH </txt> </catgry> <catgry> <catValu> 5380 </catValu> <txt level="category"> Nassau-Suffolk, NY </txt> </catgry> <catgry> <catValu> 5480 </catValu> <txt level="category"> New Haven-West Haven, CT </txt> </catgry> <catgry> <catValu> 5600 </catValu> <txt level="category"> New York, NY-NJ </txt> </catgry> <catgry> <catValu> 5640 </catValu> <txt level="category"> Newark, NJ </txt> </catgry> <catgry> <catValu> 6140 </catValu> <txt level="category"> Petersburg-Colonial Heights-Hopewell VA </txt> </catgry> <catgry> <catValu> 6160 </catValu> <txt level="category"> Philadelphia, PA-NJ </txt> </catgry> <catgry> <catValu> 6200 </catValu> <txt level="category"> Phoenix, AZ </txt> </catgry> <catgry> <catValu> 6280 </catValu> <txt level="category"> Pittsburgh, PA </txt> </catgry> <catgry> <catValu> 6760 </catValu> <txt level="category"> Richmond, VA </txt> </catgry> <catgry> <catValu> 6780 </catValu> <txt level="category"> Riverside-San Bernardino, Ontario, CA </txt> </catgry> <catgry> <catValu> 6920 </catValu> <txt level="category"> Sacramento, CA (1990 MSA definition) </txt> </catgry> <catgry> <catValu> 6960 </catValu> <txt level="category"> Saginaw, MI </txt> </catgry> <catgry> <catValu> 7040 </catValu> <txt level="category"> St. Louis, MO-IL </txt> </catgry> <catgry> <catValu> 7160 </catValu> <txt level="category"> Salt Lake City-Ogden UT </txt> </catgry> <catgry> <catValu> 7360 </catValu> <txt level="category"> San Francisco-Oakland,CA </txt> </catgry> <catgry> <catValu> 7600 </catValu> <txt level="category"> Seattle-Everett, WA </txt> </catgry> <catgry> <catValu> 8080 </catValu> <txt level="category"> Steubenville-Wierton, OH-WV </txt> </catgry> <catgry> <catValu> 8800 </catValu> <txt level="category"> Waco, TX </txt> </catgry> <catgry> <catValu> 8840 </catValu> <txt level="category"> Washington, DC-MD-VA </txt> </catgry> <catgry> <catValu> 9000 </catValu> <txt level="category"> Wheeling, WV-OH </txt> </catgry> <catgry> <catValu> 9240 </catValu> <txt level="category"> Worcester, MA (1990 MSA definition) </txt> </catgry> </catgryGrp> </var> <var name="v960124" ID="v960124" format="char" dcml="0"> <location cardNo="1" StartPos="287" width="4"/> <labl level="variable"> Pre. 1990 SMSA/NECMA </labl> <qstn> <qstnLit> Sample.25 1990 NECMA/SMSA ------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix F). The NECMA is the New England County Metropolitan Area code as described in the 1990 SRC National Sample Design and Development documentation. For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects R's location where selected in 1996. In 1990 the U.S. Census adopted slightly different wording and abbreviations for metropolitan areas, now known collectively as Metropolitan Areas (MAs). What in 1980 were Standard Metropolitan Statistical Areas (SMSAs) became in 1990 either Metropolitan Statistical Areas (MSAs) or Primary Metropolitan Statistical Areas (PMSAs). MSA is used for a metropolitan area which stands alone, i.e., is not a part of a Consolidated Metropolitan Statistical Area (CMSA). PMSA is used for a metropolitan area which is part of a larger CMSA. The metropolitan area standards for the 1990's generally reflect a continuity with those adopted for the 1980's and maintain the basic concepts originally developed in 1950. The few substantive changes made between 1980 and 1990 are detailed in the Federal Register, Vol. 55, No.62 cited in the footnote. New England County Metropolitan Areas (NECMAs) provide an alternative to the official city-and-town based metropolitan statistical areas in that Census region for the convenience of data users who desire a county-defined set of areas. NECMAs have their separate definition standards detailed in the Federal Register (p. 12159). Since the 1990 SRC National Sample primary stage of selection was based on the NECMA in New England, the 1990 NECMA is provided in place of 1990 MSA or PMSA for this variable. For consistency, New England Panel segments which are a part of a 1990 NECMA also have the NECMA coded here. NECMA numbers end with the numeral 3. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> INAP; location not in SMSA (MSA)/ NECMA </txt> </catgry> <catgry> <catValu> 360 </catValu> <txt level="category"> Anaheim-Santa Ana-Garden Grove, CA </txt> </catgry> <catgry> <catValu> 520 </catValu> <txt level="category"> Atlanta, GA </txt> </catgry> <catgry> <catValu> 560 </catValu> <txt level="category"> Atlantic City, NJ </txt> </catgry> <catgry> <catValu> 720 </catValu> <txt level="category"> Baltimore, MD </txt> </catgry> <catgry> <catValu> 875 </catValu> <txt level="category"> Bergen-Passiac, NJ PMSA (Former code and title: 6040 Paterson-Clifton-Passaic, NJ) </txt> </catgry> <catgry> <catValu> 1000 </catValu> <txt level="category"> Birmingham, AL </txt> </catgry> <catgry> <catValu> 1123 </catValu> <txt level="category"> Boston-Lawrence-Salem-Lowell-Brockton, MA NECMA </txt> </catgry> <catgry> <catValu> 1125 </catValu> <txt level="category"> Boulder-Longmont, CO PMSA </txt> </catgry> <catgry> <catValu> 1145 </catValu> <txt level="category"> Brazoria, TX PMSA </txt> </catgry> <catgry> <catValu> 1280 </catValu> <txt level="category"> Buffalo, NY </txt> </catgry> <catgry> <catValu> 1600 </catValu> <txt level="category"> Chicago, IL </txt> </catgry> <catgry> <catValu> 1680 </catValu> <txt level="category"> Cleveland OH </txt> </catgry> <catgry> <catValu> 1800 </catValu> <txt level="category"> Columbus, GA-AL </txt> </catgry> <catgry> <catValu> 1920 </catValu> <txt level="category"> Dallas-Ft Worth, TX </txt> </catgry> <catgry> <catValu> 2000 </catValu> <txt level="category"> Dayton, OH </txt> </catgry> <catgry> <catValu> 2080 </catValu> <txt level="category"> Denver-Boulder, CO </txt> </catgry> <catgry> <catValu> 2120 </catValu> <txt level="category"> Des Moines, IA </txt> </catgry> <catgry> <catValu> 2160 </catValu> <txt level="category"> Detroit, MI </txt> </catgry> <catgry> <catValu> 2400 </catValu> <txt level="category"> Eugene-Springfield, OR </txt> </catgry> <catgry> <catValu> 2760 </catValu> <txt level="category"> Fort Wayne, IN </txt> </catgry> <catgry> <catValu> 2800 </catValu> <txt level="category"> Fort Worth-Arlington, TX </txt> </catgry> <catgry> <catValu> 2840 </catValu> <txt level="category"> Fresno, CA </txt> </catgry> <catgry> <catValu> 3000 </catValu> <txt level="category"> Grand Rapids, MI </txt> </catgry> <catgry> <catValu> 3360 </catValu> <txt level="category"> Houston, TX </txt> </catgry> <catgry> <catValu> 3600 </catValu> <txt level="category"> Jacksonville, FL </txt> </catgry> <catgry> <catValu> 3760 </catValu> <txt level="category"> Kansas City, MO-KS </txt> </catgry> <catgry> <catValu> 3840 </catValu> <txt level="category"> Knoxville, TN </txt> </catgry> <catgry> <catValu> 3965 </catValu> <txt level="category"> Lake County, IL PMSA </txt> </catgry> <catgry> <catValu> 3980 </catValu> <txt level="category"> Lakeland-Winter Haven, FL </txt> </catgry> <catgry> <catValu> 4480 </catValu> <txt level="category"> Los Angeles-Long Beach, CA </txt> </catgry> <catgry> <catValu> 4720 </catValu> <txt level="category"> Madison WI </txt> </catgry> <catgry> <catValu> 4763 </catValu> <txt level="category"> Manchester-Nashua, NH NECMA </txt> </catgry> <catgry> <catValu> 4880 </catValu> <txt level="category"> McAllen-Pharr-Edinburgh, TX </txt> </catgry> <catgry> <catValu> 5000 </catValu> <txt level="category"> Miami, FL </txt> </catgry> <catgry> <catValu> 5015 </catValu> <txt level="category"> Middlesex-Somerset-Hunterdon, NJ PMSA (former code and title: 5460 New Brunswick-Perth Amboy-Sayreville, NJ) </txt> </catgry> <catgry> <catValu> 5080 </catValu> <txt level="category"> Milwaukee, WI </txt> </catgry> <catgry> <catValu> 5120 </catValu> <txt level="category"> Minneapolis-St Paul, MN-WI </txt> </catgry> <catgry> <catValu> 5350 </catValu> <txt level="category"> Nashua, NH PMSA </txt> </catgry> <catgry> <catValu> 5380 </catValu> <txt level="category"> Nassau-Suffolk, NY </txt> </catgry> <catgry> <catValu> 5480 </catValu> <txt level="category"> New Haven-West Haven, CT </txt> </catgry> <catgry> <catValu> 5483 </catValu> <txt level="category"> New Haven-Waterbury-Meriden, CT NECMA </txt> </catgry> <catgry> <catValu> 5600 </catValu> <txt level="category"> New York, NY-NJ </txt> </catgry> <catgry> <catValu> 5640 </catValu> <txt level="category"> Newark, NJ </txt> </catgry> <catgry> <catValu> 5700 </catValu> <txt level="category"> Niagara Falls, NY PMSA </txt> </catgry> <catgry> <catValu> 5775 </catValu> <txt level="category"> Oakland, CA PMSA </txt> </catgry> <catgry> <catValu> 6160 </catValu> <txt level="category"> Philadelphia, PA-NJ </txt> </catgry> <catgry> <catValu> 6200 </catValu> <txt level="category"> Phoenix, AZ </txt> </catgry> <catgry> <catValu> 6280 </catValu> <txt level="category"> Pittsburgh, PA </txt> </catgry> <catgry> <catValu> 6453 </catValu> <txt level="category"> Portsmouth-Dover-Rochester, NH NECMA </txt> </catgry> <catgry> <catValu> 6760 </catValu> <txt level="category"> Richmond, VA </txt> </catgry> <catgry> <catValu> 6780 </catValu> <txt level="category"> Riverside-San Bernardino, Ontario, CA </txt> </catgry> <catgry> <catValu> 6920 </catValu> <txt level="category"> Sacramento, CA (1990 MSA definition) </txt> </catgry> <catgry> <catValu> 6960 </catValu> <txt level="category"> Saginaw, MI </txt> </catgry> <catgry> <catValu> 7040 </catValu> <txt level="category"> St. Louis, MO-IL </txt> </catgry> <catgry> <catValu> 7160 </catValu> <txt level="category"> Salt Lake City-Ogden, UT MSA </txt> </catgry> <catgry> <catValu> 7360 </catValu> <txt level="category"> San Francisco-Oakland,CA </txt> </catgry> <catgry> <catValu> 7600 </catValu> <txt level="category"> Seattle-Everett, WA </txt> </catgry> <catgry> <catValu> 8003 </catValu> <txt level="category"> Springfield, MA NECMA </txt> </catgry> <catgry> <catValu> 8080 </catValu> <txt level="category"> Steubenville-Wierton, OH-WV </txt> </catgry> <catgry> <catValu> 8800 </catValu> <txt level="category"> Waco, TX </txt> </catgry> <catgry> <catValu> 8840 </catValu> <txt level="category"> Washington, DC-MD-VA </txt> </catgry> <catgry> <catValu> 9000 </catValu> <txt level="category"> Wheeling, WV-OH </txt> </catgry> <catgry> <catValu> 9243 </catValu> <txt level="category"> Worcester-Fitchburn-Leominster, MA NECMA </txt> </catgry> </catgryGrp> </var> <var name="v960125" ID="v960125" format="char" dcml="0"> <location cardNo="1" StartPos="291" width="2"/> <labl level="variable"> Pre. 1990 CMSA </labl> <qstn> <qstnLit> Sample.26 1990 Census CMSA (Consolidated Metropolitan Statistical Area). ------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix F). For Panel respondents who moved since theIR ORIGINAL NES CONTACT (1992, 1994) the data corresponding to their original sampling address was coded here. The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis. In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> INAP; Location not in CMSA This includes old code 32 (Dayton Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield are combined in a single MSA in 1990). </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Boston-Lawrence-Salem MA-NH </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Buffalo-Niagara Falls NY </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Chicago-Gary-Lake County IL-IN-WI** </txt> </catgry> <catgry> <catValu> 28 </catValu> <txt level="category"> Cleveland-Akron-Lorain OH </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Detroit-Ann Arbor MI** </txt> </catgry> <catgry> <catValu> 42 </catValu> <txt level="category"> Houston-Galveston-Brazoria TX </txt> </catgry> <catgry> <catValu> 49 </catValu> <txt level="category"> Los Angeles-Anaheim-Riverside CA** </txt> </catgry> <catgry> <catValu> 56 </catValu> <txt level="category"> Miami-Fort Lauderdale FL </txt> </catgry> <catgry> <catValu> 63 </catValu> <txt level="category"> Milwaukee-Racine WI </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> New York-Northern New Jersey-Long Island NY-NJ-CT** </txt> </catgry> <catgry> <catValu> 77 </catValu> <txt level="category"> Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** </txt> </catgry> <catgry> <catValu> 78 </catValu> <txt level="category"> Pittsburgh-Beaver Valley PA </txt> </catgry> <catgry> <catValu> 84 </catValu> <txt level="category"> San Francisco-Oakland-San Jose CA** </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> Seattle-Tacoma WA </txt> </catgry> </catgryGrp> </var> <var name="v960126" ID="v960126" format="char" dcml="0"> <location cardNo="1" StartPos="293" width="1"/> <labl level="variable"> Pre. 1990 Census Tract 1 </labl> <qstn> <qstnLit> Sample.27 1990 Census Tract 1 ------------------------------------------------------------------- This variable and the next (item Sample.30) provide the 1990 Census Tract number(s) for segment. For Panel cases, if more than 2 Census Tracts are identified with the segment or if a tract was divided up into more than 2 new tract numbers between the 1980 Census and the 1990 Census, this is the lowest 1990 Census Tract number representing the segment. For Cross-section cases there are not more than 2 Census Tracts associated with any segment. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. </qstnLit> </qstn> </var> <var name="v960126a" ID="v960126a" format="char" dcml="0"> <location cardNo="1" StartPos="294" width="1"/> <labl level="variable"> Pre. 1990 Census Tract 2 </labl> <qstn> <qstnLit> Sample.28 1990 Census Tract 2 ------------------------------------------------------------------- This variable and the previous (item Sample.29) provide the 1990 Census Tract number(s) for segment. For Panel cases, if more than 2 Census Tracts are identified with the segment or if a tract was divided up into more than 2 new tract numbers between the 1980 Census and the 1990 Census, this is the lowest 1990 Census Tract number representing the segment. For Cross-section cases there are not more than 2 Census Tracts associated with any segment. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. 0000.00. Inap, only 1 CT </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> </var> <var name="v960127" ID="v960127" format="char" dcml="0"> <location cardNo="1" StartPos="295" width="1"/> <labl level="variable"> Pre. Flag - changed congressional race status </labl> <qstn> <qstnLit> Summary.1 Flag - changed congressional race status ------------------------------------------------------------------- In some congressional districts, the final form of the congressional race was not determined at the beginning of the 1996 Pre interviewing period. This variable documents (codes 1 and 2) 14 cases within such districts where interviewing occurred before the status of the congressional race was finalized. In these cases, the names of the most likely candidates were used in the administration of the interview (for code 1, see the next variable for the race type used at the time of interview in these cases). In all cases coded 1, the incumbent remained unchanged but challenger status was altered - either a challenger was added (change from unopposed to opposed incumbent) or else dropped (change from opposed to unopposed, expected challenger not present in final race). For cases coded 1, data about the incumbent candidate have been preserved and challenger data have been coded NA or Inap as appropriate according to the final race type. For cases coded 2, questions which identified wrong (Republican) candidate name have been coded NA. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Status of congressional race did not change during Pre interviewing period; status of congressional race changed during Pre interviewing period but interview conducted with final race type and candidate names </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Status of congressional race changed during Pre interviewing period, interview not conducted with final race type and candidate names -- RACE TYPE CHANGED </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Status of congressional race changed during Pre interviewing period, interview not conducted with final race type and candidate names, substitution of major party candidate name (in all cases, Republican candidate) -- RACE TYPE NOT CHANGED </txt> </catgry> </catgryGrp> </var> <var name="v960128" ID="v960128" format="char" dcml="0"> <location cardNo="1" StartPos="296" width="2"/> <labl level="variable"> Pre. Race type at time of interview </labl> <qstn> <qstnLit> Summary.2 IF CONGRESSIONAL RACE TYPE WAS NOT FINAL AT TIME OF INTERVIEW AND CHANGED AFTER INTERVIEW WAS CONDUCTED: Change in Type Race - Congressional type race at time of interview ------------------------------------------------------------------- For cases where congressional race type changed to its final form after the interview was conducted, this variable describes the status of the congressional race at the time the interview was administered. The final form of the Congressional race is coded in congressional district vars and the type race var, and the data have been made consistent with final type race; data for non-final candidates are not represented in the datafile. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, congressional race type did not change after interview was administered (0,2 in previous variable) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Democrat incumbent running -- Republican challenger </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Democrat incumbent running unopposed </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Republican incumbent running -- Democratic challenger </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Republican incumbent running unopposed </txt> </catgry> <catgry> <catValu> 55 </catValu> <txt level="category"> Democratic incumbent not running -- Democratic and Republican candidates </txt> </catgry> <catgry> <catValu> 65 </catValu> <txt level="category"> Republican incumbent not running -- Democratic and Republican candidates </txt> </catgry> </catgryGrp> </var> <var name="v960129" ID="v960129" format="char" dcml="0"> <location cardNo="1" StartPos="298" width="1"/> <labl level="variable"> Pre. CD error flag - Pre </labl> <qstn> <qstnLit> Summary.3 Flag - incorrect congressional district administered in Pre ------------------------------------------------------------------- Cases coded 1,2,3,4,5 have Pre variables referring to the House candidates NA. For code 2, if R also moved, the attempt to identify new CD was in error. Code 4 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 5 indicates cases where IWR thought assigned CD assignment incorrect. For code 7, variables referring to the House candidates are not NA. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> CD correctly identified for R in Pre; Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> CD incorrect because R moved (new CD not followed) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> CD incorrect because misidentified </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> CD information not loaded into Pre CAPI application, House candidate questions not administered </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> CD incorrect - IWR error; IWR administered House cand names from wrong CD </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> CD incorrect - IWR error; IWR skipped House-related questions </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> CD incorrect, R moved and new CD not followed, but interviewer substituted correct names in interview (data not in error) </txt> </catgry> </catgryGrp> </var> <var name="v960129a" ID="v960129a" format="char" dcml="0"> <location cardNo="1" StartPos="299" width="1"/> <labl level="variable"> Pre. CD error flag - Post </labl> <qstn> <qstnLit> Summary.4 Flag - incorrect congressional district administered in Post ------------------------------------------------------------------- Cases coded 1,2,3,4,5 have Post variables referring to the House candidates NA. (Codes 1,2,3 include cases coded 1,2,3 in question Summary.3 which were still not corrected at the time of the Post.) Code 4 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 5 indicates cases where IWR thought assigned CD assignment incorrect. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> CD correctly identified for R in Post; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> CD incorrect in Pre due to move (CD not followed) -- error continued in Post </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> CD incorrect because misidentified in Pre -- error continued in Post </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> CD information not loaded into Post CAPI application, House candidate questions not administered </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> CD incorrect - IWR error; IWR administered House cand names from wrong CD </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> CD incorrect - IWR error; IWR skipped House-related questions </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> CD incorrect; R moved and new CD not followed, but interviewer substituted correct names in interview (data not in error) </txt> </catgry> </catgryGrp> </var> <var name="v960130" ID="v960130" format="char" dcml="0"> <location cardNo="1" StartPos="300" width="1"/> <labl level="variable"> Pre. Was R's Congressional District redistricted in 1996 </labl> <qstn> <qstnLit> Summary.5 Was R's Congressional district redistricted in 1996? ------------------------------------------------------------------- This variable describes the status of the congressional district of R's 1994 interview (R's 1996 location or move status is not reflected). </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Panel case - R's 1994 CD was redistricted in 1996 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Panel case - R's 1994 CD was not redistricted in 1996 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Portions of R's CD redistricted in 1996 but R not affected (R still in same CD in 1996) </txt> </catgry> </catgryGrp> </var> <var name="v960131" ID="v960131" format="char" dcml="0"> <location cardNo="1" StartPos="301" width="1"/> <labl level="variable"> Pre. (Panel only) Move status 1994-1996 </labl> <qstn> <qstnLit> Summary.6 (Panel only) Move status 1994-1996 ------------------------------------------------------------------- This variable compares R's 1994 interview location with the location where R was found at the time of the 1996 Pre interview. Note: some congressional districts were redistricted in 1996. In all cases of redistricting (see question Summary 5), no Rs lived in the portions of their Congressional Districts which were affected by the redistricting, and all Rs coded 3 in Summary5 were coded in the same manner as Rs who lived in CDs where no redistricting took place. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1996 cross-section </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Moved OUT OF 1994 congressional district </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Moved WITHIN 1994 congressional district </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> R did not move but has 2 residences and was at different residence in 1996 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> R DID NOT MOVE to different location in 1996 </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960131a" ID="v960131a" format="char" dcml="0"> <location cardNo="1" StartPos="302" width="1"/> <labl level="variable"> Pre. Move status 1996 Pre-1996 Post </labl> <qstn> <qstnLit> Summary.7 Move status, 1996 Pre-1996 Post ------------------------------------------------------------------- This variable compares R's 1996 Pre interview location with R's 1996 Post interview location but has no bearing on the administration of House-candidate-related Post variables. Post variables are administered according to the state and CD at which R was located during the Pre interview, since in most cases Rs (if registered) have not changed registration since the Pre; moreover, in most cases Rs who moved between the Pre and Post were primarily exposed to the House campaigns of the candidates identified according to Pre state and CD. It was not systematically determined whether a new Post address was in a CD different from Pre CD unless R's new location was a different state. All cases where R was found in a different state in the Post are coded 1. Additionally, for several cases where R moved within state but information was discovered indicating change in CD, code 1 has also been coded. Cases coded 2 indicate that R moved within the same state, but CD status (regarding change of CD) was NA. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> R Moved out of Pre CD </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> R Moved, NA if CD changed (R moved within same state) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> R did not move but has 2 residences and was at different residence in Post </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> R did not move between Pre and Post interviews </txt> </catgry> </catgryGrp> </var> <var name="v960201" ID="v960201" format="char" dcml="0"> <location cardNo="1" StartPos="303" width="1"/> <labl level="variable"> Pre. How interested has R been in campaigns this year </labl> <qstn> <qstnLit> A1 Some people don't pay much attention to political campaigns. How about you? Would you say that you have been VERY MUCH INTERESTED, SOMEWHAT INTERESTED, or NOT MUCH INTERESTED in the political campaigns so far this year? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very much interested </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat interested </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much interested </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960202" ID="v960202" format="char" dcml="0"> <location cardNo="1" StartPos="304" width="1"/> <labl level="variable"> Pre. How much does R care who wins the presidential election </labl> <qstn> <qstnLit> A2 Generally speaking, would you say that you personally CARE A GOOD DEAL who wins the presidential election this fall, or that you DON'T CARE VERY MUCH who wins? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Care a good deal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Don't care very much </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960203" ID="v960203" format="char" dcml="0"> <location cardNo="1" StartPos="305" width="1"/> <labl level="variable"> Pre. Did R vote for President in the 1992 election </labl> <qstn> <qstnLit> A3 In 1992 George Bush ran on the Republican ticket against Bill Clinton for the Democrats, and Ross Perot as an independent candidate. Do you remember for sure whether or not you voted in that election? ------------------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, voted </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, didn't vote </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960204" ID="v960204" format="char" dcml="0"> <location cardNo="1" StartPos="306" width="1"/> <labl level="variable"> Pre. For whom did R vote in the 1992 presidential race </labl> <qstn> <qstnLit> A3a IF R VOTED FOR PRESIDENT IN 1992: Which one did you vote for? ------------------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> George Bush </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960205" ID="v960205" format="char" dcml="0"> <location cardNo="1" StartPos="307" width="1"/> <labl level="variable"> Pre. Anything that would make R vote for Clinton ("likes") </labl> <qstn> <qstnLit> A4 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. CLINTON that might make you want to vote FOR him? ------------------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE]. Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960206" ID="v960206" format="char" dcml="0"> <location cardNo="1" StartPos="308" width="4"/> <labl level="variable"> Pre. What would make R vote for Clinton ("likes") #1 </labl> <qstn> <qstnLit> A4a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A4 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960207" ID="v960207" format="char" dcml="0"> <location cardNo="1" StartPos="312" width="4"/> <labl level="variable"> Pre. What would make R vote for Clinton ("likes") #2 </labl> <qstn> <qstnLit> A4a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960208" ID="v960208" format="char" dcml="0"> <location cardNo="1" StartPos="316" width="4"/> <labl level="variable"> Pre. What would make R vote for Clinton ("likes") #3 </labl> <qstn> <qstnLit> A4a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960209" ID="v960209" format="char" dcml="0"> <location cardNo="1" StartPos="320" width="4"/> <labl level="variable"> Pre. What would make R vote for Clinton ("likes") #4 </labl> <qstn> <qstnLit> A4a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960210" ID="v960210" format="char" dcml="0"> <location cardNo="1" StartPos="324" width="4"/> <labl level="variable"> Pre. What would make R vote for Clinton ("likes") #5 </labl> <qstn> <qstnLit> A4a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960211" ID="v960211" format="char" dcml="0"> <location cardNo="1" StartPos="328" width="1"/> <labl level="variable"> Pre. Anything that would make R vote agnst Clinton ("dislikes") </labl> <qstn> <qstnLit> A5 Is there anything in particular about MR. CLINTON that might make you want to vote AGAINST him? ------------------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960212" ID="v960212" format="char" dcml="0"> <location cardNo="1" StartPos="329" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Clinton ("dislikes") #1 </labl> <qstn> <qstnLit> A5a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A5 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960213" ID="v960213" format="char" dcml="0"> <location cardNo="1" StartPos="333" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Clinton ("dislikes") #2 </labl> <qstn> <qstnLit> A5a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960214" ID="v960214" format="char" dcml="0"> <location cardNo="1" StartPos="337" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Clinton ("dislikes") #3 </labl> <qstn> <qstnLit> A5a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960215" ID="v960215" format="char" dcml="0"> <location cardNo="1" StartPos="341" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Clinton ("dislikes") #4 </labl> <qstn> <qstnLit> A5a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960216" ID="v960216" format="char" dcml="0"> <location cardNo="1" StartPos="345" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Clinton ("dislikes") #5 </labl> <qstn> <qstnLit> A5a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960217" ID="v960217" format="char" dcml="0"> <location cardNo="1" StartPos="349" width="1"/> <labl level="variable"> Pre. Anything that would make R vote for Dole ("likes") </labl> <qstn> <qstnLit> A6 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. DOLE that might make you want to vote FOR him? ------------------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960218" ID="v960218" format="char" dcml="0"> <location cardNo="1" StartPos="350" width="4"/> <labl level="variable"> Pre. What would make R vote for Dole ("likes") #1 </labl> <qstn> <qstnLit> A6a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A6 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960219" ID="v960219" format="char" dcml="0"> <location cardNo="1" StartPos="354" width="4"/> <labl level="variable"> Pre. What would make R vote for Dole ("likes") #2 </labl> <qstn> <qstnLit> A6a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960220" ID="v960220" format="char" dcml="0"> <location cardNo="1" StartPos="358" width="4"/> <labl level="variable"> Pre. What would make R vote for Dole ("likes") #3 </labl> <qstn> <qstnLit> A6a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960221" ID="v960221" format="char" dcml="0"> <location cardNo="1" StartPos="362" width="4"/> <labl level="variable"> Pre. What would make R vote for Dole ("likes") #4 </labl> <qstn> <qstnLit> A6a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960222" ID="v960222" format="char" dcml="0"> <location cardNo="1" StartPos="366" width="4"/> <labl level="variable"> Pre. What would make R vote for Dole ("likes") #5 </labl> <qstn> <qstnLit> A6a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960223" ID="v960223" format="char" dcml="0"> <location cardNo="1" StartPos="370" width="1"/> <labl level="variable"> Pre. Anything that would make R vote agnst Dole ("dislikes") </labl> <qstn> <qstnLit> A7 Is there anything in particular about MR. DOLE that might make you want to vote AGAINST him? ------------------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960224" ID="v960224" format="char" dcml="0"> <location cardNo="1" StartPos="371" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Dole ("dislikes") #1 </labl> <qstn> <qstnLit> A7a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A7 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960225" ID="v960225" format="char" dcml="0"> <location cardNo="1" StartPos="375" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Dole ("dislikes") #2 </labl> <qstn> <qstnLit> A7a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960226" ID="v960226" format="char" dcml="0"> <location cardNo="1" StartPos="379" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Dole ("dislikes") #3 </labl> <qstn> <qstnLit> A7a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960227" ID="v960227" format="char" dcml="0"> <location cardNo="1" StartPos="383" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Dole ("dislikes") #4 </labl> <qstn> <qstnLit> A7a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960228" ID="v960228" format="char" dcml="0"> <location cardNo="1" StartPos="387" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Dole ("dislikes") #5 </labl> <qstn> <qstnLit> A7a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960229" ID="v960229" format="char" dcml="0"> <location cardNo="1" StartPos="391" width="1"/> <labl level="variable"> Pre. Anything that would make R vote for Perot ("likes") </labl> <qstn> <qstnLit> A8 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. PEROT that might make you want to vote FOR him? ------------------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960230" ID="v960230" format="char" dcml="0"> <location cardNo="1" StartPos="392" width="4"/> <labl level="variable"> Pre. What would make R vote for Perot ("likes") #1 </labl> <qstn> <qstnLit> A8a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A8 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960231" ID="v960231" format="char" dcml="0"> <location cardNo="1" StartPos="396" width="4"/> <labl level="variable"> Pre. What would make R vote for Perot ("likes") #2 </labl> <qstn> <qstnLit> A8a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960232" ID="v960232" format="char" dcml="0"> <location cardNo="1" StartPos="400" width="4"/> <labl level="variable"> Pre. What would make R vote for Perot ("likes") #3 </labl> <qstn> <qstnLit> A8a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960233" ID="v960233" format="char" dcml="0"> <location cardNo="1" StartPos="404" width="4"/> <labl level="variable"> Pre. What would make R vote for Perot ("likes") #4 </labl> <qstn> <qstnLit> A8a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960234" ID="v960234" format="char" dcml="0"> <location cardNo="1" StartPos="408" width="4"/> <labl level="variable"> Pre. What would make R vote for Perot ("likes") #5 </labl> <qstn> <qstnLit> A8a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960235" ID="v960235" format="char" dcml="0"> <location cardNo="1" StartPos="412" width="1"/> <labl level="variable"> Pre. What would make R vote agnst Perot ("dislikes") </labl> <qstn> <qstnLit> A9 Is there anything in particular about MR. PEROT that might make you want to vote AGAINST him? ------------------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960236" ID="v960236" format="char" dcml="0"> <location cardNo="1" StartPos="413" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Perot ("dislikes") #1 </labl> <qstn> <qstnLit> A9a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A9 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960237" ID="v960237" format="char" dcml="0"> <location cardNo="1" StartPos="417" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Perot ("dislikes") #2 </labl> <qstn> <qstnLit> A9a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960238" ID="v960238" format="char" dcml="0"> <location cardNo="1" StartPos="421" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Perot ("dislikes") #3 </labl> <qstn> <qstnLit> A9a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960239" ID="v960239" format="char" dcml="0"> <location cardNo="1" StartPos="425" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Perot ("dislikes") #4 </labl> <qstn> <qstnLit> A9a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960240" ID="v960240" format="char" dcml="0"> <location cardNo="1" StartPos="429" width="4"/> <labl level="variable"> Pre. What would make R vote agnst Perot ("dislikes") #5 </labl> <qstn> <qstnLit> A9a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ------------------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960241" ID="v960241" format="char" dcml="0"> <location cardNo="1" StartPos="433" width="1"/> <labl level="variable"> Pre. Does R have cable or satellite TV </labl> <qstn> <qstnLit> A10 Do you have either cable or satellite television? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960242" ID="v960242" format="char" dcml="0"> <location cardNo="1" StartPos="434" width="1"/> <labl level="variable"> Pre. How many days in past week R watched nat'l news on TV </labl> <qstn> <qstnLit> A11 How many days IN THE PAST WEEK did you watch the national news on TV? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One day </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two days </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three days </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four days </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five days </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six days </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Every day </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960243" ID="v960243" format="char" dcml="0"> <location cardNo="1" StartPos="435" width="1"/> <labl level="variable"> Pre. Attention R paid to TV nat news shows about pres campaign </labl> <qstn> <qstnLit> A11a IF R HAS WATCHED NATIONAL NEWS ON TV IN THE PAST WEEK: (Please look at page 1 of the booklet). How much attention did you pay to news on national news shows about the campaign for President-- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in A11 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A great deal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite a bit </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Some </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Very little </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960244" ID="v960244" format="char" dcml="0"> <location cardNo="1" StartPos="436" width="1"/> <labl level="variable"> Pre. How many days in past week R watched the local news on TV </labl> <qstn> <qstnLit> A12 How many days IN THE PAST WEEK did you watch the local TV news, for example, "Eyewitness News" or "Action News"? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One day </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two days </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three days </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four days </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five days </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six days </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Every day </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960245" ID="v960245" format="char" dcml="0"> <location cardNo="1" StartPos="437" width="1"/> <labl level="variable"> Pre. Attention R paid to local TV news shows about pres campaign </labl> <qstn> <qstnLit> A12a IF R HAS WATCHED LOCAL NEWS ON TV IN THE PAST WEEK: (Looking at page 1 of the booklet). How much attention did you pay to news on local news shows about the campaign for President-- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in A12 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A great deal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite a bit </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Some </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Very little </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960246" ID="v960246" format="char" dcml="0"> <location cardNo="1" StartPos="438" width="1"/> <labl level="variable"> Pre. How many days in past week R read the newspaper </labl> <qstn> <qstnLit> A13 How many days IN THE PAST WEEK did you read a daily newspaper? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One day </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two days </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three days </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four days </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five days </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six days </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Every day </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960247" ID="v960247" format="char" dcml="0"> <location cardNo="1" StartPos="439" width="1"/> <labl level="variable"> Pre. Did R read about presidential campaign in the newspaper </labl> <qstn> <qstnLit> A13a IF R HAS READ A DAILY NEWSPAPER IN THE PAST WEEK: Did you read about the campaign in any newspaper? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in A13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960248" ID="v960248" format="char" dcml="0"> <location cardNo="1" StartPos="440" width="1"/> <labl level="variable"> Pre. Attention R paid to presidential campaign in the newspaper </labl> <qstn> <qstnLit> A13b IF R HAS READ ABOUT THE CAMPAIGN IN A NEWSPAPER: (Looking at page 1 of the booklet). How much attention did you pay to newspaper articles about the campaign for President--A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in A13; 5,8,9 in A13a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A great deal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite a bit </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Some </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Very little </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960249" ID="v960249" format="char" dcml="0"> <location cardNo="1" StartPos="441" width="1"/> <labl level="variable"> Pre. Does R recall seeing any ads for political cand on TV </labl> <qstn> <qstnLit> A14 Do you recall seeing any ads for the political candidates on television this fall? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960250" ID="v960250" format="char" dcml="0"> <location cardNo="1" StartPos="442" width="1"/> <labl level="variable"> Pre. R recall of cand who sponsored political ad remembers best </labl> <qstn> <qstnLit> A14a IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: I'd like you to think for a moment about the one ad you remember best. Do you happen to recall which candidate sponsored that ad? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A14 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> No - don't recall </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Clinton </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Dole </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Perot </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Ad was not for/by a specific candidate </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> State or local candidate </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960251" ID="v960251" format="char" dcml="0"> <location cardNo="1" StartPos="443" width="3"/> <labl level="variable"> Pre. Content of political ad R remembers best -- #1 </labl> <qstn> <qstnLit> A14b(1) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 1] ------------------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 5,8,9 in A14; 9 in A14a </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960252" ID="v960252" format="char" dcml="0"> <location cardNo="1" StartPos="446" width="3"/> <labl level="variable"> Pre. Content of political ad R remembers best -- #2 </labl> <qstn> <qstnLit> A14b(2) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 2] ------------------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960253" ID="v960253" format="char" dcml="0"> <location cardNo="1" StartPos="449" width="3"/> <labl level="variable"> Pre. Content of political ad R remembers best -- #3 </labl> <qstn> <qstnLit> A14b(3) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 3] ------------------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960254" ID="v960254" format="char" dcml="0"> <location cardNo="1" StartPos="452" width="3"/> <labl level="variable"> Pre. Content of political ad R remembers best -- #4 </labl> <qstn> <qstnLit> A14b(4) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 4] ------------------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960255" ID="v960255" format="char" dcml="0"> <location cardNo="1" StartPos="455" width="3"/> <labl level="variable"> Pre. Content of political ad R remembers best -- #5 </labl> <qstn> <qstnLit> A14b(5) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV : (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 5] ------------------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960256" ID="v960256" format="char" dcml="0"> <location cardNo="1" StartPos="458" width="1"/> <labl level="variable"> Pre. Does R care about result of House election </labl> <qstn> <qstnLit> B1 As you know, representatives to Congress in Washington will be chosen in this election from congressional districts all around the country. How much would you say that you personally care about the way the election to the U.S. House of Representatives comes outdo you care VERY MUCH, PRETTY MUCH, NOT VERY MUCH or NOT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very much </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty much </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very much </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960257" ID="v960257" format="char" dcml="0"> <location cardNo="1" StartPos="459" width="1"/> <labl level="variable"> Pre. Does R remember names of House candidates in R's district </labl> <qstn> <qstnLit> B2 Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who are running in the November election from this district? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF; Inap, Washington DC </txt> </catgry> </catgryGrp> </var> <var name="v960258" ID="v960258" format="char" dcml="0"> <location cardNo="1" StartPos="460" width="2"/> <labl level="variable"> Pre. R's recall of name of House candidate (first mention) </labl> <qstn> <qstnLit> B2a(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] 1ST RECALLED NAME ------------------------------------------------------------------- Note for cases where R's correct congressional district was not identified was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in B2 </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960259" ID="v960259" format="char" dcml="0"> <location cardNo="1" StartPos="462" width="1"/> <labl level="variable"> Pre. R's recall of party of House candidate (first mention) </labl> <qstn> <qstnLit> B2b(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED CANDIDATE ------------------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other party (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960260" ID="v960260" format="char" dcml="0"> <location cardNo="1" StartPos="463" width="1"/> <labl level="variable"> Pre. Actual party of House candidate recalled by R (#1 mention) </labl> <qstn> <qstnLit> B2c(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 1ST RECALLED CANDIDATE ------------------------------------------------------------------- Built from B2a(1). See note B2a(1). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on candidate list (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK name but know party </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> DK name and DK/NA party; NA </txt> </catgry> </catgryGrp> </var> <var name="v960261" ID="v960261" format="char" dcml="0"> <location cardNo="1" StartPos="464" width="1"/> <labl level="variable"> Pre. Accuracy of R's recall of House candidate (#1 mention) </labl> <qstn> <qstnLit> B2x(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 1ST RECALL ACCURACY ------------------------------------------------------------------- Built from B2a(1), B2b(1). See notes in B2a(1), B2b(1). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Valid candidate name given and correct party associated with name </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Valid candidate name given but incorrect party associated with name </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Valid candidate name given, DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Invalid candidate name given with any mention of party associated with name </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Invalid candidate name given with DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> No candidate name given (DK or NA) -- any party mention </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> No candidate name given (DK) -- DK or NA for party mention; No candidate name given (NA) -- DK for party mention </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA for candidate name and NA for party mention </txt> </catgry> </catgryGrp> </var> <var name="v960262" ID="v960262" format="char" dcml="0"> <location cardNo="1" StartPos="465" width="2"/> <labl level="variable"> Pre. R's recall of name of House candidate (#2 mention) </labl> <qstn> <qstnLit> B2a(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ) 2ND RECALLED NAME ------------------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960263" ID="v960263" format="char" dcml="0"> <location cardNo="1" StartPos="467" width="1"/> <labl level="variable"> Pre. R's recall of party of House candidate (#2 mention) </labl> <qstn> <qstnLit> B2b(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF 2ND RECALLED CANDIDATE ------------------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other party (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960264" ID="v960264" format="char" dcml="0"> <location cardNo="1" StartPos="468" width="1"/> <labl level="variable"> Pre. Actual party of House candidate recalled by R (#2 mention) </labl> <qstn> <qstnLit> B2c(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 2ND RECALLED CANDIDATE ------------------------------------------------------------------- Built from B2a(2). See note B2a(2). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on candidate list (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK name but know party </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> DK name and DK/NA party; NA </txt> </catgry> </catgryGrp> </var> <var name="v960265" ID="v960265" format="char" dcml="0"> <location cardNo="1" StartPos="469" width="1"/> <labl level="variable"> Pre. Accuracy of R's recall of House candidate (#2 mention) </labl> <qstn> <qstnLit> B2x(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 2ND RECALL ACCURACY ------------------------------------------------------------------- Built from B2a(2), B2b(2). See notes in B2a(2), B2b(2). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Valid candidate name given and correct party associated with name </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Valid candidate name given but incorrect party associated with name </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Valid candidate name given, DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Invalid candidate name given with any mention of party associated with name </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Invalid candidate name given with DK or NA party mention </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> No candidate name given (DK or NA) -- any party mention </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> No candidate name given (DK) -- DK or NA for party mention; No candidate name given (NA) -- DK for party mention </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA for candidate name and NA for party mention </txt> </catgry> </catgryGrp> </var> <var name="v960266" ID="v960266" format="char" dcml="0"> <location cardNo="1" StartPos="470" width="2"/> <labl level="variable"> Pre. R's recall of name of House candidate (#3 mention) </labl> <qstn> <qstnLit> B2a(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] 3RD RECALLED NAME ------------------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960267" ID="v960267" format="char" dcml="0"> <location cardNo="1" StartPos="472" width="1"/> <labl level="variable"> Pre. R's recall of party of House candidate (#3 mention) </labl> <qstn> <qstnLit> B2b(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF 3RD RECALLED CANDIDATE ------------------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other party (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960268" ID="v960268" format="char" dcml="0"> <location cardNo="1" StartPos="473" width="1"/> <labl level="variable"> Pre. Actual party of House candidate recalled by R (#3 mention) </labl> <qstn> <qstnLit> B2c(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 3RD RECALLED CANDIDATE ------------------------------------------------------------------- Built from B2a(3). See note B2a(3). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on candidate list (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK name but know party </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> DK name and DK/NA party; NA </txt> </catgry> </catgryGrp> </var> <var name="v960269" ID="v960269" format="char" dcml="0"> <location cardNo="1" StartPos="474" width="1"/> <labl level="variable"> Pre. Accuracy of R's recall of House candidate (#3 mention) </labl> <qstn> <qstnLit> B2x(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 3RD RECALL ACCURACY ------------------------------------------------------------------- Built from B2a(3), B2b(3). See notes in B2a(3), B2b(3). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Valid candidate name given and correct party associated with name </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Valid candidate name given but incorrect party associated with name </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Valid candidate name given, DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Invalid candidate name given with any mention of party associated with name </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Invalid candidate name given with DK or NA party mention </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> No candidate name given (DK or NA) -- any party mention </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> No candidate name given (DK) -- DK or NA for party mention; No candidate name given (NA) -- DK for party mention </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA for candidate name and NA for party mention </txt> </catgry> </catgryGrp> </var> <var name="v960270" ID="v960270" format="char" dcml="0"> <location cardNo="1" StartPos="475" width="1"/> <labl level="variable"> Pre. Does R approve or disapprove of Congress </labl> <qstn> <qstnLit> B3 Do you APPROVE or DISAPPROVE of the way the U.S. Congress has been handling its job? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960271" ID="v960271" format="char" dcml="0"> <location cardNo="1" StartPos="476" width="1"/> <labl level="variable"> Pre. Does R strongly approve or disapprove of Congress </labl> <qstn> <qstnLit> B3a/b IF R APPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: / IF R DISAPPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ------------------------------------------------------------------- Built from B3, B3a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in B3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960272" ID="v960272" format="char" dcml="0"> <location cardNo="1" StartPos="477" width="3"/> <labl level="variable"> Pre. Clinton feeling thermometer </labl> <qstn> <qstnLit> D1 (Please look at page 2 of the booklet.) I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you dn't need to rate the person. Just tell me and we'll move on to the next one. D1a (Looking at page 2 of the booklet) (How would you rate) BILL CLINTON? CLINTON THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960273" ID="v960273" format="char" dcml="0"> <location cardNo="1" StartPos="480" width="3"/> <labl level="variable"> Pre. Dole feeling thermometer </labl> <qstn> <qstnLit> D1b (Looking at page 2 of the booklet) (How would you rate) BOB DOLE? DOLE THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960274" ID="v960274" format="char" dcml="0"> <location cardNo="1" StartPos="483" width="3"/> <labl level="variable"> Pre. Perot feeling thermometer </labl> <qstn> <qstnLit> D1c (Looking at page 2 of the booklet) (How would you rate) ROSS PEROT? PEROT THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960275" ID="v960275" format="char" dcml="0"> <location cardNo="1" StartPos="486" width="3"/> <labl level="variable"> Pre. Gore feeling thermometer </labl> <qstn> <qstnLit> D1d (Looking at page 2 of the booklet) (How would you rate) AL GORE? GORE THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960276" ID="v960276" format="char" dcml="0"> <location cardNo="1" StartPos="489" width="3"/> <labl level="variable"> Pre. Kemp feeling thermometer </labl> <qstn> <qstnLit> D1e (Looking at page 2 of the booklet) (How would you rate) JACK KEMP? KEMP THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960277" ID="v960277" format="char" dcml="0"> <location cardNo="1" StartPos="492" width="3"/> <labl level="variable"> Pre. Choate feeling thermometer </labl> <qstn> <qstnLit> D1f (Looking at page 2 of the booklet) (How would you rate) PAT CHOATE? CHOATE THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Pat Choate was chosen as the Reform Party Vice-Presidential candidate on September 10, 1996 and beginning September 11, a thermometer question was administered using his name. However, prior to September 11, a thermometer was was administered for James S. Campbell (V960277a), the name submitted by Perot to satisfy the requirements of candidacy status until a Vice-Presidential candidate was selected. See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, Campbell rating </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960277a" ID="v960277a" format="char" dcml="0"> <location cardNo="1" StartPos="495" width="3"/> <labl level="variable"> Pre. Campbell feeling thermometer </labl> <qstn> <qstnLit> D1f (Looking at page 2 of the booklet) (How would you rate) JAMES S. CAMPBELL CAMPBELL THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Pat Choate was chosen as the Reform Party Vice-Presidential candidate on September 10, 1996 and beginning September 11, a thermometer question was administered using his name (V960277). However, prior to September 11, a thermometer was was administered for James S. Campbell, the name submitted by Perot to satisfy the requirements of candidacy status until a Vice-Presidential candidate was selected. See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, Choate rating </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960278" ID="v960278" format="char" dcml="0"> <location cardNo="1" StartPos="498" width="3"/> <labl level="variable"> Pre. Democratic House candidate feeling thermometer </labl> <qstn> <qstnLit> D1g (Looking at page 2 of the booklet) (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF; Inap, no Democratic House candidate (House race type 24) or Washington DC </txt> </catgry> </catgryGrp> </var> <var name="v960279" ID="v960279" format="char" dcml="0"> <location cardNo="1" StartPos="501" width="3"/> <labl level="variable"> Pre. Republican House candidate feeling thermometer </labl> <qstn> <qstnLit> D1h (Looking at page 2 of the booklet) (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF; Inap, no Republican House candidate (House race type 14) or Washington DC </txt> </catgry> </catgryGrp> </var> <var name="v960280" ID="v960280" format="char" dcml="0"> <location cardNo="1" StartPos="504" width="3"/> <labl level="variable"> Pre. Retiring House incumbent feeling thermometer </labl> <qstn> <qstnLit> D1j (Looking at page 2 of the booklet) (How would you rate) [NAME #41,42]? RETIRING HOUSE INCUMBENT THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; Inap, no retiring House incumbent (type race 12,14,21,24) or Washington DC </txt> </catgry> </catgryGrp> </var> <var name="v960281" ID="v960281" format="char" dcml="0"> <location cardNo="1" StartPos="507" width="3"/> <labl level="variable"> Pre. Hillary Clinton feeling thermometer </labl> <qstn> <qstnLit> D1k (Looking at page 2 of the booklet) (How would you rate) HILLARY CLINTON? HILLARY CLINTON THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely followsurvey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960282" ID="v960282" format="char" dcml="0"> <location cardNo="1" StartPos="510" width="3"/> <labl level="variable"> Pre. Pat Buchanan feeling thermometer </labl> <qstn> <qstnLit> D1m (Looking at page 2 of the booklet) (How would you rate) PAT BUCHANAN? BUCHANAN THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960283" ID="v960283" format="char" dcml="0"> <location cardNo="1" StartPos="513" width="3"/> <labl level="variable"> Pre. Jesse Jackson feeling thermometer </labl> <qstn> <qstnLit> D1n (Looking at page 2 of the booklet) (How would you rate) JESSE JACKSON? JACKSON THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960284" ID="v960284" format="char" dcml="0"> <location cardNo="1" StartPos="516" width="3"/> <labl level="variable"> Pre. Newt Gingrich feeling thermometer </labl> <qstn> <qstnLit> D1p (Looking at page 2 of the booklet) (How would you rate) NEWT GINGRICH? GINGRICH THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960285" ID="v960285" format="char" dcml="0"> <location cardNo="1" StartPos="519" width="3"/> <labl level="variable"> Pre. Colin Powell feeling thermometer </labl> <qstn> <qstnLit> D1q (Looking at page 2 of the booklet) (How would you rate) COLIN POWELL? POWELL THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960286" ID="v960286" format="char" dcml="0"> <location cardNo="1" StartPos="522" width="3"/> <labl level="variable"> Pre. Steve Forbes feeling thermometer </labl> <qstn> <qstnLit> D1r (Looking at page 2 of the booklet) (How would you rate) STEVE FORBES? FORBES THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960287" ID="v960287" format="char" dcml="0"> <location cardNo="1" StartPos="525" width="3"/> <labl level="variable"> Pre. Phil Gramm feeling thermometer </labl> <qstn> <qstnLit> D1s (Looking at page 2 of the booklet) (How would you rate) PHIL GRAMM? GRAMM THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960288" ID="v960288" format="char" dcml="0"> <location cardNo="1" StartPos="528" width="3"/> <labl level="variable"> Pre. Louis Farrakhan feeling thermometer </labl> <qstn> <qstnLit> D1t (Looking at page 2 of the booklet) (How would you rate) LOUIS FARRAKHAN? FARRAKHAN THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960289" ID="v960289" format="char" dcml="0"> <location cardNo="1" StartPos="531" width="3"/> <labl level="variable"> Pre. Lamar Alexander feeling thermometer </labl> <qstn> <qstnLit> D1u (Looking at page 2 of the booklet) (How would you rate) LAMAR ALEXANDER? ALEXANDER THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960290" ID="v960290" format="char" dcml="0"> <location cardNo="1" StartPos="534" width="3"/> <labl level="variable"> Pre. Elizabeth Dole feeling thermometer </labl> <qstn> <qstnLit> D1v (Looking at page 2 of the booklet) (How would you rate) ELIZABETH DOLE? ELIZABETH DOLE THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960291" ID="v960291" format="char" dcml="0"> <location cardNo="1" StartPos="537" width="3"/> <labl level="variable"> Pre. Pat Robertson feeling thermometer </labl> <qstn> <qstnLit> D1w (Looking at page 2 of the booklet) (How would you rate) PAT ROBERTSON? ROBERTSON THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of names D1d-D1w was randomized. See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960292" ID="v960292" format="char" dcml="0"> <location cardNo="1" StartPos="540" width="3"/> <labl level="variable"> Pre. Democratic Party feeling thermometer </labl> <qstn> <qstnLit> D2a (Looking at page 2 of the booklet.) (Still using the thermometer, how would you rate:) The Democratic Party? DEMOCRATIC PARTY THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of major parties D2a-D2b was randomized. See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960293" ID="v960293" format="char" dcml="0"> <location cardNo="1" StartPos="543" width="3"/> <labl level="variable"> Pre. Republican Party feeling thermometer </labl> <qstn> <qstnLit> D2b (Looking at page 2 of the booklet.) (Still using the thermometer, how would you rate:) The Republican Party? REPUBLICAN PARTY THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of major parties D2a-D2b was randomized. See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960294" ID="v960294" format="char" dcml="0"> <location cardNo="1" StartPos="546" width="3"/> <labl level="variable"> Pre. Political parties feeling thermometer </labl> <qstn> <qstnLit> D2c [RB] (Still using the thermometer, how would you rate:) Political parties in general? POLITICAL PARTIES IN GENERAL - THERMOMETER RATING ------------------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960295" ID="v960295" format="char" dcml="0"> <location cardNo="1" StartPos="549" width="1"/> <labl level="variable"> Pre. Does R approve or disapprove of Clinton </labl> <qstn> <qstnLit> E1 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING HIS JOB AS PRESIDENT? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960296" ID="v960296" format="char" dcml="0"> <location cardNo="1" StartPos="550" width="1"/> <labl level="variable"> Pre. Does R strgly approve or disapprove of Clinton </labl> <qstn> <qstnLit> E1a/b IF R APPROVES CLINTON'S HANDLING HIS JOB AS PRESIDENT: / IF R DISAPPROVES CLINTON'S HANDLING HIS JOB AS PRESIDENT: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ------------------------------------------------------------------- Built from E1,E1a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960297" ID="v960297" format="char" dcml="0"> <location cardNo="1" StartPos="551" width="1"/> <labl level="variable"> Pre. Does R app/disapp of Clinton's handling of the econ </labl> <qstn> <qstnLit> E2 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING THE ECONOMY? ------------------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960298" ID="v960298" format="char" dcml="0"> <location cardNo="1" StartPos="552" width="1"/> <labl level="variable"> Pre. Does R strgly app/disapp of Clinton's handling of the econ </labl> <qstn> <qstnLit> E2a/b IF R APPROVES CLINTON'S HANDLING OF THE ECONOMY: / IF R DISAPPROVES CLINTON'S HANDLING OF THE ECONOMY: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ------------------------------------------------------------------- Built from E2, E2a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960299" ID="v960299" format="char" dcml="0"> <location cardNo="1" StartPos="553" width="1"/> <labl level="variable"> Pre. Does R app/disapp of Clinton's handling of foreign rels </labl> <qstn> <qstnLit> E3 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? ------------------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960300" ID="v960300" format="char" dcml="0"> <location cardNo="1" StartPos="554" width="1"/> <labl level="variable"> Pre. Does R strgly app or disapp Clinton's handling for relat </labl> <qstn> <qstnLit> E3a/b IF R APPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: / IF R DISAPPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ------------------------------------------------------------------- Built from E3, E3a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960301" ID="v960301" format="char" dcml="0"> <location cardNo="1" StartPos="555" width="1"/> <labl level="variable"> Pre. Does R app or disapp Clinton's handling the environment </labl> <qstn> <qstnLit> E4 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING THE ENVIRONMENT? ------------------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960302" ID="v960302" format="char" dcml="0"> <location cardNo="1" StartPos="556" width="1"/> <labl level="variable"> Pre. Does R strgly app or disapp of Clinton's hand of the envir </labl> <qstn> <qstnLit> E4a/b IF R APPROVES OF THE WAY CLINTON IS HANDLING THE ENVIRONMENT :/ IF R DISAPPROVES OF THE WAY CLINTON IS HANDLING THE ENVIRONMENT: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? ------------------------------------------------------------------- Built from E4, E4a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960303" ID="v960303" format="char" dcml="0"> <location cardNo="1" StartPos="557" width="1"/> <labl level="variable"> Pre. Does R approve or disapprove of Clinton's hand of hlth care </labl> <qstn> <qstnLit> E5 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING HEALTH CARE? ------------------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960304" ID="v960304" format="char" dcml="0"> <location cardNo="1" StartPos="558" width="1"/> <labl level="variable"> Pre. Does R strgly app or disapp of Clinton's hand of hlth care </labl> <qstn> <qstnLit> E5a/b IF R APPROVES CLINTON'S HANDLING OF HEALTH CARE / IF R DISAPPROVES CLINTON'S HANDLING OF HEALTH CARE: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? ------------------------------------------------------------------- Built from E5, E5a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960305" ID="v960305" format="char" dcml="0"> <location cardNo="1" StartPos="559" width="1"/> <labl level="variable"> Pre. Which pres cand would do the best job of protect enviro </labl> <qstn> <qstnLit> E6a (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) PROTECTING THE ENVIRONMENT (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ------------------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> There wouldn't be any difference (DO NOT PROBE) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960306" ID="v960306" format="char" dcml="0"> <location cardNo="1" StartPos="560" width="1"/> <labl level="variable"> Pre. Which pres cand would do the best job of reducing budget def </labl> <qstn> <qstnLit> E6b (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) REDUCING THE BUDGET DEFICIT (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ------------------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> There wouldn't be any difference (DO NOT PROBE) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960307" ID="v960307" format="char" dcml="0"> <location cardNo="1" StartPos="561" width="1"/> <labl level="variable"> Pre. Which pres cand would do the best job of improve education </labl> <qstn> <qstnLit> E6c (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) IMPROVING PUBLIC EDUCATION (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ------------------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> There wouldn't be any difference (DO NOT PROBE) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960308" ID="v960308" format="char" dcml="0"> <location cardNo="1" StartPos="562" width="1"/> <labl level="variable"> Pre. Which pres cand would do the best job of campgn reform </labl> <qstn> <qstnLit> E6d (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) REDUCING THE POWER OF SPECIAL INTERESTS IN POLITICAL CAMPAIGNS (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ------------------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> There wouldn't be any difference (DO NOT PROBE) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960309" ID="v960309" format="char" dcml="0"> <location cardNo="1" StartPos="563" width="1"/> <labl level="variable"> Pre. Which pres cand would be most likely to raise taxes </labl> <qstn> <qstnLit> E7 (Looking at page 3 of the booklet) Which presidential candidate is more likely to RAISE TAXES --[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them? ------------------------------------------------------------------- Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> There wouldn't be any difference (DO NOT PROBE) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960310" ID="v960310" format="char" dcml="0"> <location cardNo="1" StartPos="564" width="1"/> <labl level="variable"> Pre. Which pres cand would be most likely to cut Soc Security </labl> <qstn> <qstnLit> E8 (Looking at page 3 of the booklet) Which presidential candidate is more likely to CUT SOCIAL SECURITY BENEFITS --[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them? ------------------------------------------------------------------- Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> There wouldn't be any difference (DO NOT PROBE) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960311" ID="v960311" format="char" dcml="0"> <location cardNo="1" StartPos="565" width="2"/> <labl level="variable"> Pre. Is Clinton or Congress more to blame for the budget def </labl> <qstn> <qstnLit> E9 Who do you think is more to blame for the federal budget deficit, the CLINTON ADMINISTRATION or the REPUBLICAN CONGRESS? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="98"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican Congress </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Both Clinton and Republican Congress (VOL) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Neither Clinton nor Republican Congress (VOL) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Inheirited from the past/ developed over many years (VOL) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Reagan, Reagan/Bush, "Reaganomics" (VOL) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Past Republicans, "Republicans" (VOL) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Democratic Congress (VOL) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Past Democrats, "Democrats" (VOL) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Reagan/Bush and Democratic Congress (VOL) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Past administrations, past congresses (NFS - not further specified) (VOL) </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960312" ID="v960312" format="char" dcml="0"> <location cardNo="1" StartPos="567" width="1"/> <labl level="variable"> Pre. (Interviewer checkpoint) Was R random selected for q F1-F4 </labl> <qstn> <qstnLit> E10 HALF-SAMPLE CHECKPOINT ------------------------------------------------------------------- Half ot the respondents were randomly selected for administration of questions F1-F4. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Respondent not randomly selected for F1-F4 questions </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Respondent randomly selected for F1-F4 questions </txt> </catgry> </catgryGrp> </var> <var name="v960313" ID="v960313" format="char" dcml="0"> <location cardNo="1" StartPos="568" width="1"/> <labl level="variable"> Pre. Is there anything R likes about the Republican Party </labl> <qstn> <qstnLit> F1 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: (I'd like to ask you what you think are the good and bad points about the two NATIONAL PARTIES.) Is there anything in particular that you LIKE about the Republican party? ------------------------------------------------------------------- Introductory sentence precedes question text only if first party. Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E10 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960314" ID="v960314" format="char" dcml="0"> <location cardNo="1" StartPos="569" width="4"/> <labl level="variable"> Pre. What does R like about the Republican Party #1 </labl> <qstn> <qstnLit> F1a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 1] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F1 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960315" ID="v960315" format="char" dcml="0"> <location cardNo="1" StartPos="573" width="4"/> <labl level="variable"> Pre. What does R like about the Republican Party #2 </labl> <qstn> <qstnLit> F1a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 2] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960316" ID="v960316" format="char" dcml="0"> <location cardNo="1" StartPos="577" width="4"/> <labl level="variable"> Pre. What does R like about the Republican Party #3 </labl> <qstn> <qstnLit> F1a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 3] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960317" ID="v960317" format="char" dcml="0"> <location cardNo="1" StartPos="581" width="4"/> <labl level="variable"> Pre. What does R like about the Republican Party #4 </labl> <qstn> <qstnLit> F1a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 4] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960318" ID="v960318" format="char" dcml="0"> <location cardNo="1" StartPos="585" width="4"/> <labl level="variable"> Pre. What does R like about the Republican Party #5 </labl> <qstn> <qstnLit> F1a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 5] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960319" ID="v960319" format="char" dcml="0"> <location cardNo="1" StartPos="589" width="1"/> <labl level="variable"> Pre. Is there anything R dislikes about the Republican Party </labl> <qstn> <qstnLit> F2 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: Is there anything in particular that you DON'T LIKE about the Republican party? ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E10 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960320" ID="v960320" format="char" dcml="0"> <location cardNo="1" StartPos="590" width="4"/> <labl level="variable"> Pre. What does R dislike about the Republican Party #1 </labl> <qstn> <qstnLit> F2a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 1] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F2 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960321" ID="v960321" format="char" dcml="0"> <location cardNo="1" StartPos="594" width="4"/> <labl level="variable"> Pre. What does R dislike about the Republican Party #2 </labl> <qstn> <qstnLit> F2a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 2] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960322" ID="v960322" format="char" dcml="0"> <location cardNo="1" StartPos="598" width="4"/> <labl level="variable"> Pre. What does R dislike about the Republican Party #3 </labl> <qstn> <qstnLit> F2a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 3] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960323" ID="v960323" format="char" dcml="0"> <location cardNo="1" StartPos="602" width="4"/> <labl level="variable"> Pre. What does R dislike about the Republican Party #4 </labl> <qstn> <qstnLit> F2a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 4] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960324" ID="v960324" format="char" dcml="0"> <location cardNo="1" StartPos="606" width="4"/> <labl level="variable"> Pre. What does R dislike about the Republican Party #5 </labl> <qstn> <qstnLit> F2a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 5] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960325" ID="v960325" format="char" dcml="0"> <location cardNo="1" StartPos="610" width="1"/> <labl level="variable"> Pre. Is there anything R likes about the Democrat Party </labl> <qstn> <qstnLit> F3 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: (I'd like to ask you what you think are the good and bad points about the two NATIONAL PARTIES.) Is there anything in particular that you LIKE about the Democratic party? ------------------------------------------------------------------- Introductory sentence precedes question text only if first party. Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E10 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960326" ID="v960326" format="char" dcml="0"> <location cardNo="1" StartPos="611" width="4"/> <labl level="variable"> Pre. What does R like about the Democrat Party #1 </labl> <qstn> <qstnLit> F3a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 1] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F3 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960327" ID="v960327" format="char" dcml="0"> <location cardNo="1" StartPos="615" width="4"/> <labl level="variable"> Pre. What does R like about the Democrat Party #2 </labl> <qstn> <qstnLit> F3a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 2] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960328" ID="v960328" format="char" dcml="0"> <location cardNo="1" StartPos="619" width="4"/> <labl level="variable"> Pre. What does R like about the Democrat Party #3 </labl> <qstn> <qstnLit> F3a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 3] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960329" ID="v960329" format="char" dcml="0"> <location cardNo="1" StartPos="623" width="4"/> <labl level="variable"> Pre. What does R like about the Democrat Party #4 </labl> <qstn> <qstnLit> F3a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 4] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960330" ID="v960330" format="char" dcml="0"> <location cardNo="1" StartPos="627" width="4"/> <labl level="variable"> Pre. What does R like about the Democrat Party #5 </labl> <qstn> <qstnLit> F3a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 5] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960331" ID="v960331" format="char" dcml="0"> <location cardNo="1" StartPos="631" width="1"/> <labl level="variable"> Pre. Is there anything R dislikes about the Democrat Party </labl> <qstn> <qstnLit> F4 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: Is there anything in particular that you DON'T LIKE about the Democratic party? ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E10 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960332" ID="v960332" format="char" dcml="0"> <location cardNo="1" StartPos="632" width="4"/> <labl level="variable"> Pre. What does R dislike about the Democrat Party #1 </labl> <qstn> <qstnLit> F4a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 1] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F4 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960333" ID="v960333" format="char" dcml="0"> <location cardNo="1" StartPos="636" width="4"/> <labl level="variable"> Pre. What does R dislike about the Democrat Party #2 </labl> <qstn> <qstnLit> F4a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 2] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960334" ID="v960334" format="char" dcml="0"> <location cardNo="1" StartPos="640" width="4"/> <labl level="variable"> Pre. What does R dislike about the Democrat Party #3 </labl> <qstn> <qstnLit> F4a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 3] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960335" ID="v960335" format="char" dcml="0"> <location cardNo="1" StartPos="644" width="4"/> <labl level="variable"> Pre. What does R dislike about the Democrat Party #4 </labl> <qstn> <qstnLit> F4a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 4] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960336" ID="v960336" format="char" dcml="0"> <location cardNo="1" StartPos="648" width="4"/> <labl level="variable"> Pre. What does R dislike about the Democrat Party #5 </labl> <qstn> <qstnLit> F4a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 5] ------------------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention </txt> </catgry> </catgryGrp> </var> <var name="v960337" ID="v960337" format="char" dcml="0"> <location cardNo="1" StartPos="652" width="1"/> <labl level="variable"> Pre. Is R better or worse off financially than a year ago </labl> <qstn> <qstnLit> F5 We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are BETTER off or WORSE off financially than you were a year ago? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> The same (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960338" ID="v960338" format="char" dcml="0"> <location cardNo="1" StartPos="653" width="1"/> <labl level="variable"> Pre. Is R much better or worse off financially than a year ago </labl> <qstn> <qstnLit> F5a/b IF R IS BETTER OFF FINANCIALLY THAN A YEAR AGO: / IF R IS WORSE OFF FINANCIALLY THAN A YEAR AGO: a.Is that MUCH better off or SOMEWHAT better off? b.Is that MUCH worse off or SOMEWHAT worse off? ------------------------------------------------------------------- Built from F5, F5a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in F5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Much better </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (5 in F5) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Somewhat worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Much worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960339" ID="v960339" format="char" dcml="0"> <location cardNo="1" StartPos="654" width="1"/> <labl level="variable"> Pre. Does R think R will be better or worse off financ next yr </labl> <qstn> <qstnLit> F6 Now looking ahead, do you think that a year from now you (and your family living here) will be BETTER off financially, WORSE off, or JUST ABOUT THE SAME as now? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Just about the same (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960340" ID="v960340" format="char" dcml="0"> <location cardNo="1" StartPos="655" width="1"/> <labl level="variable"> Pre. Does R think R will be much better/worse off financ next yr </labl> <qstn> <qstnLit> F6a/b IF R THINKS WILL BE BETTER OFF FINANCIALLY A YEAR FROM NOW: / IF R THINKS WILL BE WORSE OFF FINANCIALLY A YEAR FROM NOW: a. Is that MUCH better off or SOMEWHAT better off? b. Is that MUCH worse off or SOMEWHAT worse off? ------------------------------------------------------------------- Built from F6, F6a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in F6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Much better </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (5 in F6) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Somewhat worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Much worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960341" ID="v960341" format="char" dcml="0"> <location cardNo="1" StartPos="656" width="1"/> <labl level="variable"> Pre. Has Clinton ever made R feel angry </labl> <qstn> <qstnLit> G1 Now we would like to know something about the feelings you have toward the candidates for President. I am going to name a candidate, and I want you to tell me whether something about that person, or something he has done, has made you have certain feelings like anger or pride. G1a (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960342" ID="v960342" format="char" dcml="0"> <location cardNo="1" StartPos="657" width="1"/> <labl level="variable"> Pre. How often has Clinton made R feel angry </labl> <qstn> <qstnLit> G1a(1) IF CLINTON HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960343" ID="v960343" format="char" dcml="0"> <location cardNo="1" StartPos="658" width="1"/> <labl level="variable"> Pre. Has Clinton ever made R feel hopeful </labl> <qstn> <qstnLit> G1b (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960344" ID="v960344" format="char" dcml="0"> <location cardNo="1" StartPos="659" width="1"/> <labl level="variable"> Pre. How often has Clinton made R feel hopeful </labl> <qstn> <qstnLit> G1b(1) IF CLINTON HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL--) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G1b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960345" ID="v960345" format="char" dcml="0"> <location cardNo="1" StartPos="660" width="1"/> <labl level="variable"> Pre. Has Clinton ever made R feel afraid </labl> <qstn> <qstnLit> G1c (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960346" ID="v960346" format="char" dcml="0"> <location cardNo="1" StartPos="661" width="1"/> <labl level="variable"> Pre. How often has Clinton made R feel afraid </labl> <qstn> <qstnLit> G1c(1) IF CLINTON HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G1c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960347" ID="v960347" format="char" dcml="0"> <location cardNo="1" StartPos="662" width="1"/> <labl level="variable"> Pre. Has Clinton ever made R feel proud </labl> <qstn> <qstnLit> G1d (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960348" ID="v960348" format="char" dcml="0"> <location cardNo="1" StartPos="663" width="1"/> <labl level="variable"> Pre. How often has Clinton made R feel proud </labl> <qstn> <qstnLit> G1d(1) IF CLINTON HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G1d </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960349" ID="v960349" format="char" dcml="0"> <location cardNo="1" StartPos="664" width="1"/> <labl level="variable"> Pre. Has Dole ever made R feel angry </labl> <qstn> <qstnLit> G2a (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960350" ID="v960350" format="char" dcml="0"> <location cardNo="1" StartPos="665" width="1"/> <labl level="variable"> Pre. How often has Dole made R feel angry </labl> <qstn> <qstnLit> G2a(1) IF DOLE HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G2a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960351" ID="v960351" format="char" dcml="0"> <location cardNo="1" StartPos="666" width="1"/> <labl level="variable"> Pre. Has Dole ever made R feel hopeful </labl> <qstn> <qstnLit> G2b (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960352" ID="v960352" format="char" dcml="0"> <location cardNo="1" StartPos="667" width="1"/> <labl level="variable"> Pre. How often has Dole made R feel hopeful </labl> <qstn> <qstnLit> G2b(1) IF DOLE HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G2b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960353" ID="v960353" format="char" dcml="0"> <location cardNo="1" StartPos="668" width="1"/> <labl level="variable"> Pre. Has Dole ever made R feel afraid </labl> <qstn> <qstnLit> G2c (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960354" ID="v960354" format="char" dcml="0"> <location cardNo="1" StartPos="669" width="1"/> <labl level="variable"> Pre. How often has Dole made R feel afraid </labl> <qstn> <qstnLit> G2c(1) IF DOLE HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G2c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960355" ID="v960355" format="char" dcml="0"> <location cardNo="1" StartPos="670" width="1"/> <labl level="variable"> Pre. Has Dole ever made R feel proud </labl> <qstn> <qstnLit> G2d (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960356" ID="v960356" format="char" dcml="0"> <location cardNo="1" StartPos="671" width="1"/> <labl level="variable"> Pre. How often has Dole made R feel proud </labl> <qstn> <qstnLit> G2d(1) IF DOLE HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G2d </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960357" ID="v960357" format="char" dcml="0"> <location cardNo="1" StartPos="672" width="1"/> <labl level="variable"> Pre. Has Perot ever made R feel angry </labl> <qstn> <qstnLit> G3a (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960358" ID="v960358" format="char" dcml="0"> <location cardNo="1" StartPos="673" width="1"/> <labl level="variable"> Pre. How often has Perot made R feel angry </labl> <qstn> <qstnLit> G3a(1) IF PEROT HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G3a; interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960359" ID="v960359" format="char" dcml="0"> <location cardNo="1" StartPos="674" width="1"/> <labl level="variable"> Pre. Has Perot ever made R feel hopeful </labl> <qstn> <qstnLit> G3b (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960360" ID="v960360" format="char" dcml="0"> <location cardNo="1" StartPos="675" width="1"/> <labl level="variable"> Pre. How often has Perot made R feel hopeful </labl> <qstn> <qstnLit> G3b(1) IF PEROT HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G3b; interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960361" ID="v960361" format="char" dcml="0"> <location cardNo="1" StartPos="676" width="1"/> <labl level="variable"> Pre. Has Perot ever made R feel afraid </labl> <qstn> <qstnLit> G3c (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960362" ID="v960362" format="char" dcml="0"> <location cardNo="1" StartPos="677" width="1"/> <labl level="variable"> Pre. How often has Perot made R feel afraid </labl> <qstn> <qstnLit> G3c(1) IF PEROT HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G3c; interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960363" ID="v960363" format="char" dcml="0"> <location cardNo="1" StartPos="678" width="1"/> <labl level="variable"> Pre. Has Perot ever made R feel proud </labl> <qstn> <qstnLit> G3d (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ------------------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960364" ID="v960364" format="char" dcml="0"> <location cardNo="1" StartPos="679" width="1"/> <labl level="variable"> Pre. How often has Perot made R feel proud </labl> <qstn> <qstnLit> G3d(1) IF PEROT HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ------------------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in G3d; interview conducted after question withdrawn </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very often </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly often </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Occasionally </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Rarely </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960365" ID="v960365" format="char" dcml="0"> <location cardNo="1" StartPos="680" width="1"/> <labl level="variable"> Pre. R's self-placement on liberal/conservative scale </labl> <qstn> <qstnLit> G4 Please look at page 4 of the booklet. We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. G4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer instruction: DO NOT PROBE "DK"] See G4 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much (DO NOT PROBE) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960366" ID="v960366" format="char" dcml="0"> <location cardNo="1" StartPos="681" width="1"/> <labl level="variable"> Pre. If R had to choose, would R be lib or con </labl> <qstn> <qstnLit> G4aa IF R SAYS DK, HAVEN'T THOUGHT OR MODERATE FOR SELF-PLACEMENT ON LIBERAL/CONSERVATIVE SCALE: If you had to choose, would you consider yourself a liberal or a conservative? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1-3,5-7,9 in G4a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Moderate (VOL) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> R refuses to choose (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960367" ID="v960367" format="char" dcml="0"> <location cardNo="1" StartPos="682" width="1"/> <labl level="variable"> Pre. How certain is R of self-placement on lib/con scale </labl> <qstn> <qstnLit> G4a(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT G4a/G4aa: How certain are you of this? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in G4a; 7,8,9 in G4aa </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960368" ID="v960368" format="char" dcml="0"> <location cardNo="1" StartPos="683" width="1"/> <labl level="variable"> Pre. Summary of R's self-placement on lib/con scale </labl> <qstn> <qstnLit> G4x SUMMARY- SELF PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- See G4 and G4a/G4aa for full question texts. Built from G4a, G4aa. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA to follow up question G4aa (0/8,9) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Liberal (1/2/3,0; 0/4/8,1) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Moderate (0/4/8,3; 4,7/8/9) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Conservative (5/6/7,0; 0/4/8,2) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Refused to choose (0/8,7) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (0/8,8) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA/RF to entire question series (9,0) </txt> </catgry> </catgryGrp> </var> <var name="v960369" ID="v960369" format="char" dcml="0"> <location cardNo="1" StartPos="684" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on liberal-con scale </labl> <qstn> <qstnLit> G5 [RB] Where would you place Bill Clinton on this scale? CLINTON PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960370" ID="v960370" format="char" dcml="0"> <location cardNo="1" StartPos="685" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Clinton on lib/con scale </labl> <qstn> <qstnLit> G5a IF R HAS PLACED BILL CLINTON ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BILL CLINTON'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN?) ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in G5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960371" ID="v960371" format="char" dcml="0"> <location cardNo="1" StartPos="686" width="1"/> <labl level="variable"> Pre. R's placement of Dole on lib-con scale </labl> <qstn> <qstnLit> G6 [RB] Where would you place Bob Dole on this scale? DOLE PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960372" ID="v960372" format="char" dcml="0"> <location cardNo="1" StartPos="687" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Dole on lib/con scale </labl> <qstn> <qstnLit> G6a IF R HAS PLACED BOB DOLE ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BOB DOLE'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in G6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960373" ID="v960373" format="char" dcml="0"> <location cardNo="1" StartPos="688" width="1"/> <labl level="variable"> Pre. R's placement of Perot on lib-con scale </labl> <qstn> <qstnLit> G7 [RB] Where would you place Ross Perot on this scale? PEROT PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960374" ID="v960374" format="char" dcml="0"> <location cardNo="1" StartPos="689" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Perot on lib/con scale </labl> <qstn> <qstnLit> G7a IF R HAS PLACED ROSS PEROT ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of ROSS PEROT'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in G7 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960375" ID="v960375" format="char" dcml="0"> <location cardNo="1" StartPos="690" width="1"/> <labl level="variable"> Pre. R's placement of Dem Hse cand on lib/con scale </labl> <qstn> <qstnLit> G8 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT G4/G4a: [RB] Where would you place [NAME #31,33,35] on this scale? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. House candidate names G8-G9 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Democratic House candidate (race type 24); 0,7,8,9 IN G4x; Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960376" ID="v960376" format="char" dcml="0"> <location cardNo="1" StartPos="691" width="1"/> <labl level="variable"> Pre. How certain is R of place of Dem Hse cand on lib/con scale </labl> <qstn> <qstnLit> G8a IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED DEMOCRATIC HOUSE CANDIDATE ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of [NAME #31,33,35]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in G8; 0,7,8,9 in G4x; no Democratic House candidate (race type 24); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960377" ID="v960377" format="char" dcml="0"> <location cardNo="1" StartPos="692" width="1"/> <labl level="variable"> Pre. R's placement of Rep Hse cand on lib/con scale </labl> <qstn> <qstnLit> G9 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #32,34,36] on this scale? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. House candidate names G8-G9 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Republican House candidate (race type14); 0,7,8,9 in G4x; Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960378" ID="v960378" format="char" dcml="0"> <location cardNo="1" StartPos="693" width="1"/> <labl level="variable"> Pre. How certain is R of place of Rep Hse cand on lib/con scale </labl> <qstn> <qstnLit> G9a IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE : IF R HAS PLACED REPUBLICAN HOUSE CANDIDATE ON LIBERAL-CONSERVATIVE SCALE : How certain are you (of [NAME #32,34,36]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in G9; 07,8,9 in G4x; no Republican House candidate (race type 14); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960379" ID="v960379" format="char" dcml="0"> <location cardNo="1" StartPos="694" width="1"/> <labl level="variable"> Pre. R's placement of Democratic Party on lib/con scale </labl> <qstn> <qstnLit> G10 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place the Democratic Party on this scale? DEMOCRATIC PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Major parties G10-G11 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,7,8,9 in G4x </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960380" ID="v960380" format="char" dcml="0"> <location cardNo="1" StartPos="695" width="1"/> <labl level="variable"> Pre. R's placement of Republican Party on lib/con scale </labl> <qstn> <qstnLit> G11 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place the Republican Party on this scale? REPUBLICAN PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"]. See G4 for full text. Major parties G10-G11 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,7,8,9 in G4x </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely liberal </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Liberal </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Slightly liberal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate; middle of the road </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Slightly conservative </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Extremely conservative </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960381" ID="v960381" format="char" dcml="0"> <location cardNo="1" StartPos="696" width="1"/> <labl level="variable"> Pre. Who does R think will be elected President </labl> <qstn> <qstnLit> G12 Who do you think will be elected President in November? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960382" ID="v960382" format="char" dcml="0"> <location cardNo="1" StartPos="697" width="1"/> <labl level="variable"> Pre. Does R think the Presidential race will be close </labl> <qstn> <qstnLit> G12a/b IF R NAMES CANDIDATE R THINKS WILL WIN THE PRESIDENTIAL ELECTION: / IF R SAYS DON'T KNOW WHO WILL WIN PRESIDENTIAL ELECTION: a. Do you think the Presidential race will be close or will [NAME GIVEN] win by quite a bit? b. Do you think the Presidential race will be close or will one candidate win by quite a bit? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in G12 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Will be close </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Win by quite a bit </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960383" ID="v960383" format="char" dcml="0"> <location cardNo="1" StartPos="698" width="1"/> <labl level="variable"> Pre. Which Pres cand does R think will carry R's state </labl> <qstn> <qstnLit> G12c What about here in (STATE)? Which candidate for President do you think will carry this state? [IF NECESSARY: Which candidate will WIN in this state?] ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960384" ID="v960384" format="char" dcml="0"> <location cardNo="1" StartPos="699" width="1"/> <labl level="variable"> Pre. R think the Pres race will be close in R's state </labl> <qstn> <qstnLit> G12d/e IF R NAMES CANDIDATE R THINKS WILL WIN THE PRESIDENTIAL ELECTION IN R's STATE: / IF R SAYS DON'T KNOW WHO WILL WIN PRESIDENTIAL ELECTION IN R's STATE: d. Do you think the Presidential race will be close here in (STATE) or will (NAME) win by quite a bit? e. Do you think the Presidential race will be close here in (STATE) or will one candidate win by quite a bit? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in G12c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Close race </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Win by quite a bit </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960385" ID="v960385" format="char" dcml="0"> <location cardNo="1" StartPos="700" width="1"/> <labl level="variable"> Pre. R think econ has gotten better/worse over past year </labl> <qstn> <qstnLit> H1 Now thinking about the economy in the country as a whole, would you say that over the past year the nation's economy has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Gotten better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Stayed about the same </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Gotten worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960386" ID="v960386" format="char" dcml="0"> <location cardNo="1" StartPos="701" width="1"/> <labl level="variable"> Pre. R think econ has gotten much better/worse over past year </labl> <qstn> <qstnLit> H1a/b IF R SAYS ECONOMY HAS GOTTEN BETTER: / IF R SAYS ECONOMY HAS GOTTEN WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ------------------------------------------------------------------- Built from H1, H1a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in H1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Much better </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (3 in H1) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Somewhat worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Much worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960387" ID="v960387" format="char" dcml="0"> <location cardNo="1" StartPos="702" width="1"/> <labl level="variable"> Pre. R expect econ to get better/worse over the next year </labl> <qstn> <qstnLit> H2 What about the next 12 months? Do you expect the economy to GET BETTER, GET WORSE or STAY ABOUT THE SAME? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Get better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Get worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Stay about the same </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960388" ID="v960388" format="char" dcml="0"> <location cardNo="1" StartPos="703" width="1"/> <labl level="variable"> Pre. R expect econ to get much better or worse over the next year </labl> <qstn> <qstnLit> H2a/b IF R SAYS ECONOMY WILL GET BETTER: / IF R SAYS ECONOMY WILL GET WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ------------------------------------------------------------------- Built from H2, H2a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in H2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Much better </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (5 in H2) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Somewhat worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Much worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960389" ID="v960389" format="char" dcml="0"> <location cardNo="1" StartPos="704" width="1"/> <labl level="variable"> Pre. R think the stand of living will be better or worse in 20 yrs </labl> <qstn> <qstnLit> H3 Do you think that twenty years from now, the standard of living for the people who are just children now will be BETTER, ABOUT THE SAME, or WORSE than it is today? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> About the same </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960390" ID="v960390" format="char" dcml="0"> <location cardNo="1" StartPos="705" width="1"/> <labl level="variable"> Pre. Have fed govt policy made the nation's econ better or worse </labl> <qstn> <qstnLit> H3.1 Over the past year would you say that the economic policies of the federal government have made the nation's economy BETTER, WORSE, or HAVEN'T THEY MADE MUCH DIFFERENCE either way? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> They haven't made much difference </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960391" ID="v960391" format="char" dcml="0"> <location cardNo="1" StartPos="706" width="1"/> <labl level="variable"> Pre. Have fed gov policy made nation's econ much better or worse </labl> <qstn> <qstnLit> H3.1a/b IF R SAYS POLICIES HAVE MADE ECONOMY BETTER: / IF R SAYS POLICIES HAVE MADE ECONOMY WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ------------------------------------------------------------------- Built from H3.1, H3.1a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in H3.1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Much better </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat better </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (5 in H3.1) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Somewhat worse </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Much worse </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960392" ID="v960392" format="char" dcml="0"> <location cardNo="1" StartPos="707" width="1"/> <labl level="variable"> Pre. R think the budg def incr/decr under Clinton </labl> <qstn> <qstnLit> H3.2 Would you say that the size of the yearly budget deficit INCREASED, DECREASED, or STAYED ABOUT THE SAME during Clinton's time as President? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Stayed about the same </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960393" ID="v960393" format="char" dcml="0"> <location cardNo="1" StartPos="708" width="1"/> <labl level="variable"> Pre. R think the budg def incr/decr a lot under Clinton </labl> <qstn> <qstnLit> H3.2a/b IF R SAYS SIZE OF DEFICIT HAS INCREASED: / IF R SAYS SIZE OF DEFICIT HAS DECREASED: a. Would you say it increased A LOT or A LITTLE? b. Would you say it decreased A LOT or A LITTLE? ------------------------------------------------------------------- Built from H3.2, H3.2a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in H3.2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Increased a little </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (3 in H3.2) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Decreased a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960394" ID="v960394" format="char" dcml="0"> <location cardNo="1" StartPos="709" width="1"/> <labl level="variable"> Pre. R think avg fed income tax incr/decr under Clinton </labl> <qstn> <qstnLit> H3.3 Would you say that the federal income tax paid by the average working person has INCREASED, DECREASED, or STAYED ABOUT THE SAME during Clinton's time as President? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Stayed about the same </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960395" ID="v960395" format="char" dcml="0"> <location cardNo="1" StartPos="710" width="1"/> <labl level="variable"> Pre. R think the avg fed income tax incr/decr a lot under Clinton </labl> <qstn> <qstnLit> H3.3a/b IF R SAYS INCOME TAX HAS INCREASED: / IF R SAYS INCOME TAX HAS DECREASED: a. Would you say it increased A LOT or A LITTLE? b. Would you say it decreased A LOT or A LITTLE? ------------------------------------------------------------------- Built from H3.3, H3.3a/b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in H3.3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Increased a little </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Same (3 in H3.3) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Decreased a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960396" ID="v960396" format="char" dcml="0"> <location cardNo="1" StartPos="711" width="1"/> <labl level="variable"> Pre. (Interviewer checkpoint) Was R randomly select for q H4a-H8 </labl> <qstn> <qstnLit> H4 H4. HALF-SAMPLE CHECKPOINT ------------------------------------------------------------------- Half of the respondents were randomly chosen for administration of questions H4a-H8 </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Respondent was not randomly selected for questions H4a-H8 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Respondent was randomly selected for questions H4a-H8 </txt> </catgry> </catgryGrp> </var> <var name="v960397" ID="v960397" format="char" dcml="0"> <location cardNo="1" StartPos="712" width="1"/> <labl level="variable"> Pre. Which party would do a better job handling the economy </labl> <qstn> <qstnLit> H4a IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE NATION'S ECONOMY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960398" ID="v960398" format="char" dcml="0"> <location cardNo="1" StartPos="713" width="1"/> <labl level="variable"> Pre. Which party would do a better job handling for aff </labl> <qstn> <qstnLit> H4b IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING FOREIGN AFFAIRS ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960399" ID="v960399" format="char" dcml="0"> <location cardNo="1" StartPos="714" width="1"/> <labl level="variable"> Pre. Which party would do a better job hlth care afford </labl> <qstn> <qstnLit> H4c IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) MAKING HEALTH CARE MORE AFFORDABLE ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960400" ID="v960400" format="char" dcml="0"> <location cardNo="1" StartPos="715" width="1"/> <labl level="variable"> Pre. Which party would do a better job reform welfare </labl> <qstn> <qstnLit> H4d IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) REFORMING THE WELFARE SYSTEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960401" ID="v960401" format="char" dcml="0"> <location cardNo="1" StartPos="716" width="1"/> <labl level="variable"> Pre. Which party would do a better job hand the poverty prob </labl> <qstn> <qstnLit> H4e IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE PROBLEM OF POVERTY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960402" ID="v960402" format="char" dcml="0"> <location cardNo="1" StartPos="717" width="1"/> <labl level="variable"> Pre. Which party would do a better job hand the budget deficit </labl> <qstn> <qstnLit> H4f IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE BUDGET DEFICIT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960403" ID="v960403" format="char" dcml="0"> <location cardNo="1" StartPos="718" width="1"/> <labl level="variable"> Pre. Which party would do a better job hand the enviro </labl> <qstn> <qstnLit> H4g IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE PROBLEM OF POLLUTION AND THE ENVIRONMENT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960404" ID="v960404" format="char" dcml="0"> <location cardNo="1" StartPos="719" width="1"/> <labl level="variable"> Pre. Which party would do a better job dealing with crime </labl> <qstn> <qstnLit> H4h IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) DEALING WITH THE CRIME PROBLEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960405" ID="v960405" format="char" dcml="0"> <location cardNo="1" StartPos="720" width="1"/> <labl level="variable"> Pre. Which party would be more likely to cut soc security </labl> <qstn> <qstnLit> H5 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to CUT SOCIAL SECURITY BENEFITS (the Democrats, the Republicans), or wouldn't there be much difference between them? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H5. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960406" ID="v960406" format="char" dcml="0"> <location cardNo="1" StartPos="721" width="1"/> <labl level="variable"> Pre. Which party would be more likely to improve race relat </labl> <qstn> <qstnLit> H6 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to IMPROVE RACE RELATIONS, (the Democrats, the Republicans), or wouldn't there be much difference between them? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H6. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960407" ID="v960407" format="char" dcml="0"> <location cardNo="1" StartPos="722" width="1"/> <labl level="variable"> Pre. Which party would be more likely to raise taxes </labl> <qstn> <qstnLit> H7 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to RAISE TAXES, (the Democrats, the Republicans), or wouldn't there be much difference between them? ------------------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H7. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Wouldn't be much difference between them/ No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960408" ID="v960408" format="char" dcml="0"> <location cardNo="1" StartPos="723" width="1"/> <labl level="variable"> Pre. Which party would be more likely to keep out of war </labl> <qstn> <qstnLit> H8 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Looking ahead, do you think the problem of KEEPING OUT OF WAR would be handled better in the next four years by (the Democrats, the Republicans), or about the same by both? ------------------------------------------------------------------- Order of names of parties in question text was randomized in H8. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in H4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrats </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republicans </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> About the same by both </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960409" ID="v960409" format="char" dcml="0"> <location cardNo="1" StartPos="724" width="1"/> <labl level="variable"> Pre. Has the US pos in the world grown str/weaker in the past year </labl> <qstn> <qstnLit> H9 During the past year, would you say that the United States' position in the world has grown WEAKER, STAYED ABOUT THE SAME, or has it grown STRONGER? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Weaker </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Stayed about the same </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Stronger </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960410" ID="v960410" format="char" dcml="0"> <location cardNo="1" StartPos="725" width="1"/> <labl level="variable"> Pre. Should the US not concern itself with problems abroad </labl> <qstn> <qstnLit> H10 Do you AGREE or DISAGREE with this statement: 'This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world?' ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Agree </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disagree </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960411" ID="v960411" format="char" dcml="0"> <location cardNo="1" StartPos="726" width="1"/> <labl level="variable"> Pre. How willing should the US be to use military force </labl> <qstn> <qstnLit> H11 In the future, how willing should the United States be to use military force to solve international problems -- EXTREMELY WILLING, VERY WILLING, SOMEWHAT WILLING, NOT VERY WILLING, or NEVER WILLING? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely willing </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very willing </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat willing </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not very willing </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Never willing </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960412" ID="v960412" format="char" dcml="0"> <location cardNo="1" StartPos="727" width="1"/> <labl level="variable"> Pre. Does R favor a 12-year term limit on members of Congress </labl> <qstn> <qstnLit> H12 A law has been proposed that would limit the members of Congress to no more than 12 consecutive years of service in that office. Do you favor or oppose such a law? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Favor </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Oppose </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960413" ID="v960413" format="char" dcml="0"> <location cardNo="1" StartPos="728" width="1"/> <labl level="variable"> Pre. Does R know if either House cand the incumb </labl> <qstn> <qstnLit> H13a IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates ([NAME #31, 33, 35] or [NAME #32, 34, 36]) is currently in the House of Representatives? (IF NEEDED: which one is that?) ------------------------------------------------------------------- Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, only one major party House candidate (type race 14 or 24) or Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, Democratic candidate is </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Yes, Republican candidate is </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Both candidates are (VOL) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, neither of them is </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960414" ID="v960414" format="char" dcml="0"> <location cardNo="1" StartPos="729" width="2"/> <labl level="variable"> Pre. Candidate code of recalled incumb (two-cand race) </labl> <qstn> <qstnLit> H13a(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2-CANDIDATE RACE) ------------------------------------------------------------------- Built from H13a. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0,5,8,9 in H13a </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> Both </txt> </catgry> </catgryGrp> </var> <var name="v960415" ID="v960415" format="char" dcml="0"> <location cardNo="1" StartPos="731" width="1"/> <labl level="variable"> Pre. Does R know if the unopposed Hse cand is the incumbent </labl> <qstn> <qstnLit> H13b IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if (NAME #31, 33, 32, 34) is currently in the House of Representatives? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, two major party House candidates in race (type race 12, 21, 55 or 65) or Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, candidate is </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, candidate is not </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960416" ID="v960416" format="char" dcml="0"> <location cardNo="1" StartPos="732" width="2"/> <labl level="variable"> Pre. Candidate code of recalled incumbent (unopposed race) </labl> <qstn> <qstnLit> H13b(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (UNOPPOSED RACE) ------------------------------------------------------------------- Built from H13b. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0,5,8,9 in H13b </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> </catgryGrp> </var> <var name="v960417" ID="v960417" format="char" dcml="0"> <location cardNo="1" StartPos="734" width="1"/> <labl level="variable"> Pre. R's party identification </labl> <qstn> <qstnLit> K1 Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Independent </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Other party </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No preference </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960418" ID="v960418" format="char" dcml="0"> <location cardNo="1" StartPos="735" width="1"/> <labl level="variable"> Pre. Strength of R's party identification </labl> <qstn> <qstnLit> K1a/b IF R CONSIDERS SELF REPUBLICAN / IF R CONSIDERS SELF DEMOCRAT: a. Would you call yourself a strong Republican or a not very strong Republican? b. Would you call yourself a strong Democrat or a not very strong Democrat? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 3,4,5,8,9 in K1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not very strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960419" ID="v960419" format="char" dcml="0"> <location cardNo="1" StartPos="736" width="1"/> <labl level="variable"> Pre. (If R is independent/no preference) R closer to one party </labl> <qstn> <qstnLit> K1c IF R CONSIDERS SELF INDEPENDENT, NO PREFERENCE, OTHER: Do you think of yourself as closer to the Republican Party or to the Democratic Party? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1,2,8,9 in K1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Closer to Republican </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Neither </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Closer to Democratic </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960420" ID="v960420" format="char" dcml="0"> <location cardNo="1" StartPos="737" width="1"/> <labl level="variable"> Pre. Summary of R's party identification </labl> <qstn> <qstnLit> K1x SUMMARY - R PARTY ID ------------------------------------------------------------------- See K1, K1a/b, K1c for full question texts. Built from K1, K1a/b, K1c Code 8 (apolitical) was used only if the respondent had a code of 5 (no preference) in K1 and a code of 3,8 or 9 in K1c and also showed little or no interest in politics in response to the following questions: A1 (pre), B1 (pre), N2 (pre), F1 (post). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Strong Democrat (1,1,0 in K1, K1a/b, K1c) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Weak Democrat (1,5/8/9,0 in K1, K1a/b, K1c) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Independent-Democrat (3/4/5,0,5 in K1, K1a/b, K1c </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Independent-Independent (3,0,3/8/9 in K1, K1a/b, K1c; 5,0,3/8/9 if not apolitical) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Independent-Republican (3/4/5,0,1 in K1, K1a/b, K1c) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Weak Republican (2,5/8/9,0 in K1, K1a/b, K1c) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Strong Republican (2,1,0 in K1, K1a/b, K1c) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other; minor party; refuses to say (4,0,3/8/9 in K1, K1a/b, K1c) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> Apolitical (5,0,3/8/9 in K1, K1a/b, K1c and no interest in politics) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (8/9,0,0 in K1, K1a/b, K1c) </txt> </catgry> </catgryGrp> </var> <var name="v960421" ID="v960421" format="char" dcml="0"> <location cardNo="1" StartPos="738" width="1"/> <labl level="variable"> Pre. Does R consider Clinton intelligent </labl> <qstn> <qstnLit> K2 Please look at page 5 of the booklet. I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate I name. K2a (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INTELLIGENT? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960422" ID="v960422" format="char" dcml="0"> <location cardNo="1" StartPos="739" width="1"/> <labl level="variable"> Pre. Does R consider Clinton compassionate </labl> <qstn> <qstnLit> K2b (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) COMPASSIONATE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960423" ID="v960423" format="char" dcml="0"> <location cardNo="1" StartPos="740" width="1"/> <labl level="variable"> Pre. Does R consider Clinton moral </labl> <qstn> <qstnLit> K2c (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960424" ID="v960424" format="char" dcml="0"> <location cardNo="1" StartPos="741" width="1"/> <labl level="variable"> Pre. How certain is R about whether Clinton is moral </labl> <qstn> <qstnLit> K2c(1) IF R GIVES OPINION ABOUT CLINTON AS 'MORAL': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in K2c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960425" ID="v960425" format="char" dcml="0"> <location cardNo="1" StartPos="742" width="1"/> <labl level="variable"> Pre. Does R consider Clinton inspiring </labl> <qstn> <qstnLit> K2d (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960426" ID="v960426" format="char" dcml="0"> <location cardNo="1" StartPos="743" width="1"/> <labl level="variable"> Pre. Does R think that Clinton provides strong leadership </labl> <qstn> <qstnLit> K2e (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960427" ID="v960427" format="char" dcml="0"> <location cardNo="1" StartPos="744" width="1"/> <labl level="variable"> Pre. Does R think that Clinton really cares about people like R </labl> <qstn> <qstnLit> K2f (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE YOU? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960428" ID="v960428" format="char" dcml="0"> <location cardNo="1" StartPos="745" width="1"/> <labl level="variable"> Pre. Does R consider Clinton knowledgeable </labl> <qstn> <qstnLit> K2g (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960429" ID="v960429" format="char" dcml="0"> <location cardNo="1" StartPos="746" width="1"/> <labl level="variable"> Pre. Does R consider Clinton honest </labl> <qstn> <qstnLit> K2h (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960430" ID="v960430" format="char" dcml="0"> <location cardNo="1" StartPos="747" width="1"/> <labl level="variable"> Pre. Does R think that Clinton gets things done </labl> <qstn> <qstnLit> K2j (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ....." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960431" ID="v960431" format="char" dcml="0"> <location cardNo="1" StartPos="748" width="1"/> <labl level="variable"> Pre. How certain is R about whether Clinton gets things done </labl> <qstn> <qstnLit> K2j(1) IF R GIVES OPINION WHETHER CLINTON 'GETS THINGS DONE': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in K2j </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960432" ID="v960432" format="char" dcml="0"> <location cardNo="1" StartPos="749" width="1"/> <labl level="variable"> Pre. Does R consider Dole moral </labl> <qstn> <qstnLit> K3a (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960433" ID="v960433" format="char" dcml="0"> <location cardNo="1" StartPos="750" width="1"/> <labl level="variable"> Pre. How certain is R about whether Dole is moral </labl> <qstn> <qstnLit> K3a(1) IF R GIVES OPINION ABOUT DOLE AS 'MORAL': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in K3a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960434" ID="v960434" format="char" dcml="0"> <location cardNo="1" StartPos="751" width="1"/> <labl level="variable"> Pre. Does R consider Dole inspiring </labl> <qstn> <qstnLit> K3b (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?)?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960435" ID="v960435" format="char" dcml="0"> <location cardNo="1" StartPos="752" width="1"/> <labl level="variable"> Pre. Does R think that Dole provides strong leadership </labl> <qstn> <qstnLit> K3c (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?)?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960436" ID="v960436" format="char" dcml="0"> <location cardNo="1" StartPos="753" width="1"/> <labl level="variable"> Pre. Does R think that Dole really cares about people like R </labl> <qstn> <qstnLit> K3d (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?)?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE R? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960437" ID="v960437" format="char" dcml="0"> <location cardNo="1" StartPos="754" width="1"/> <labl level="variable"> Pre. Does R consider Dole knowledgeable </labl> <qstn> <qstnLit> K3e (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?)?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960438" ID="v960438" format="char" dcml="0"> <location cardNo="1" StartPos="755" width="1"/> <labl level="variable"> Pre. Does R consider Dole honest </labl> <qstn> <qstnLit> K3f (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?)?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960439" ID="v960439" format="char" dcml="0"> <location cardNo="1" StartPos="756" width="1"/> <labl level="variable"> Pre. Does R think that Dole gets things done </labl> <qstn> <qstnLit> K3g (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ....." describe Bob Dole extremely well, quite well, not too well, or not well at all?)?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960440" ID="v960440" format="char" dcml="0"> <location cardNo="1" StartPos="757" width="1"/> <labl level="variable"> Pre. How certain is R about whether Dole gets things done </labl> <qstn> <qstnLit> K3g(1) IF R GIVES OPINION WHETHER DOLE 'GETS THINGS DONE': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in K3g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960441" ID="v960441" format="char" dcml="0"> <location cardNo="1" StartPos="758" width="1"/> <labl level="variable"> Pre. Does R consider Perot moral </labl> <qstn> <qstnLit> K4a (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions K4a-K4a(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960442" ID="v960442" format="char" dcml="0"> <location cardNo="1" StartPos="759" width="1"/> <labl level="variable"> Pre. How certain is R about whether Perot is moral </labl> <qstn> <qstnLit> K4a(1) IF R GIVES OPINION ABOUT PEROT AS 'MORAL': (How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- Questions K4a-K4a(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in K4a; question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960443" ID="v960443" format="char" dcml="0"> <location cardNo="1" StartPos="760" width="1"/> <labl level="variable"> Pre. Does R consider Perot inspiring </labl> <qstn> <qstnLit> K4b (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions K4b-K4b(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960444" ID="v960444" format="char" dcml="0"> <location cardNo="1" StartPos="761" width="1"/> <labl level="variable"> Pre. Does R think that Perot provides strong leadership </labl> <qstn> <qstnLit> K4c (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960445" ID="v960445" format="char" dcml="0"> <location cardNo="1" StartPos="762" width="1"/> <labl level="variable"> Pre. Does R think that Perot really cares about people like R </labl> <qstn> <qstnLit> K4d (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE R? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960446" ID="v960446" format="char" dcml="0"> <location cardNo="1" StartPos="763" width="1"/> <labl level="variable"> Pre. Does R consider Perot knowledgeable </labl> <qstn> <qstnLit> K4e (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960447" ID="v960447" format="char" dcml="0"> <location cardNo="1" StartPos="764" width="1"/> <labl level="variable"> Pre. Does R consider Perot honest </labl> <qstn> <qstnLit> K4f (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960448" ID="v960448" format="char" dcml="0"> <location cardNo="1" StartPos="765" width="1"/> <labl level="variable"> Pre. Does R think that Perot gets things done </labl> <qstn> <qstnLit> K4g (Think about Ross Perot. In your opinion does the phrase "(he [is]) ....." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960449" ID="v960449" format="char" dcml="0"> <location cardNo="1" StartPos="766" width="1"/> <labl level="variable"> Pre. How certain is R about whether Perot gets things done </labl> <qstn> <qstnLit> K4g(1) IF R GIVES OPINION WHETHER PEROT 'GETS THINGS DONE': (How certain are you about this?) VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in K4g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960450" ID="v960450" format="char" dcml="0"> <location cardNo="1" StartPos="767" width="1"/> <labl level="variable"> Pre. R's self-placement on services/spending scale </labl> <qstn> <qstnLit> L1 Please look at page 6 of the booklet. Some people think the government should provide fewer services even in areas such as health and eduation in order to reduce spending. Suppose these people are at one end of a scale, at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. L1a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON SERVICES/SPENDING SCALE. ------------------------------------------------------------------- See L1 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960451" ID="v960451" format="char" dcml="0"> <location cardNo="1" StartPos="768" width="1"/> <labl level="variable"> Pre. How certain is R of self-place on service/spend scale </labl> <qstn> <qstnLit> L1a(1) IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: How certain are YOU of your position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960452" ID="v960452" format="char" dcml="0"> <location cardNo="1" StartPos="769" width="1"/> <labl level="variable"> Pre. How important is the services/spending issue to R </labl> <qstn> <qstnLit> L1a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in L1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960453" ID="v960453" format="char" dcml="0"> <location cardNo="1" StartPos="770" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on services/spending scale </labl> <qstn> <qstnLit> L1b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON SERVICES/SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960454" ID="v960454" format="char" dcml="0"> <location cardNo="1" StartPos="771" width="1"/> <labl level="variable"> Pre. How certain is R of place of Clinton on service/spend scale </labl> <qstn> <qstnLit> L1b(1) IF R PLACES CLINTON ON 7-PT SERVICES/SPENDING SCALE: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L1b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960455" ID="v960455" format="char" dcml="0"> <location cardNo="1" StartPos="772" width="1"/> <labl level="variable"> Pre. R's placement of Dole on services/spending scale </labl> <qstn> <qstnLit> L1c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON SERVICES/SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960456" ID="v960456" format="char" dcml="0"> <location cardNo="1" StartPos="773" width="1"/> <labl level="variable"> Pre. How certain is R of place of Dole on service/spend scale </labl> <qstn> <qstnLit> L1c(1) IF R PLACES DOLE ON 7-PT SERVICES/SPENDING SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L1c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960457" ID="v960457" format="char" dcml="0"> <location cardNo="1" StartPos="774" width="1"/> <labl level="variable"> Pre. R's placement of Perot on services/spending scale </labl> <qstn> <qstnLit> L1d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON SERVICES/SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960458" ID="v960458" format="char" dcml="0"> <location cardNo="1" StartPos="775" width="1"/> <labl level="variable"> Pre. How certain is R of place of Perot on service/spend scale </labl> <qstn> <qstnLit> L1d(1) IF R PLACES PEROT ON 7-PT SERVICES/SPENDING SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L1d </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960459" ID="v960459" format="char" dcml="0"> <location cardNo="1" StartPos="776" width="1"/> <labl level="variable"> Pre. R's placement of Dem Hse cand on service/spending scale </labl> <qstn> <qstnLit> L1e IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of House candidates L1e-L1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L1a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960460" ID="v960460" format="char" dcml="0"> <location cardNo="1" StartPos="777" width="1"/> <labl level="variable"> Pre. R's placement of Rep Hse cand on services/spending scale </labl> <qstn> <qstnLit> L1f IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of House candidates L1e-L1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L1a; R did not recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960461" ID="v960461" format="char" dcml="0"> <location cardNo="1" StartPos="778" width="1"/> <labl level="variable"> Pre. R's placement of Dem Party on services/spending scale </labl> <qstn> <qstnLit> L1g IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY on this scale? DEMOCRATIC PARTY PLACEMENT ON SERVICES/SPENDING SCALE. ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of major parties L1g-L1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960462" ID="v960462" format="char" dcml="0"> <location cardNo="1" StartPos="779" width="1"/> <labl level="variable"> Pre. R's placement of Rep Party on services/spending scale </labl> <qstn> <qstnLit> L1h IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY on this scale? REPUBLICAN PARTY PLACEMENT ON SERVICES/SPENDING SCALE. ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of major parties L1g-L1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should provide many fewer services; reduce spending a lot </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should provide many more services; increase spending a lot </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960463" ID="v960463" format="char" dcml="0"> <location cardNo="1" StartPos="780" width="1"/> <labl level="variable"> Pre. R's self-placement on defense spending scale </labl> <qstn> <qstnLit> L2 Please look at page 7 of the booklet. Some people believe that we should spend much less money for defense.Suppose these people are at one end of a scale, at point 1. Others feel that defense spending should be greatly increased. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2,3,4,5, or 6. L2a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- See L2 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960464" ID="v960464" format="char" dcml="0"> <location cardNo="1" StartPos="781" width="1"/> <labl level="variable"> Pre. How certain is R of self-plac on defense spending scale </labl> <qstn> <qstnLit> L2a(1) IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L2a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960465" ID="v960465" format="char" dcml="0"> <location cardNo="1" StartPos="782" width="1"/> <labl level="variable"> Pre. How important is the defense spending issue to R </labl> <qstn> <qstnLit> L2a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in L2a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely imporant </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960466" ID="v960466" format="char" dcml="0"> <location cardNo="1" StartPos="783" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on defense spending scale </labl> <qstn> <qstnLit> L2b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960467" ID="v960467" format="char" dcml="0"> <location cardNo="1" StartPos="784" width="1"/> <labl level="variable"> Pre. How certain is R of place of Clinton on defense spend scale </labl> <qstn> <qstnLit> L2b(1) IF R PLACES CLINTON ON 7-PT DEFENSE SPENDING SCALE: How certain are you of BILL CLINTON's position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L2b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960468" ID="v960468" format="char" dcml="0"> <location cardNo="1" StartPos="785" width="1"/> <labl level="variable"> Pre. How important does R think defense spending is to Clinton </labl> <qstn> <qstnLit> L2b(2) IF R PLACES CLINTON ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L2b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960469" ID="v960469" format="char" dcml="0"> <location cardNo="1" StartPos="786" width="1"/> <labl level="variable"> Pre. R's placement of Dole on defense spending scale </labl> <qstn> <qstnLit> L2c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960470" ID="v960470" format="char" dcml="0"> <location cardNo="1" StartPos="787" width="1"/> <labl level="variable"> Pre. How certain is R of place of Dole on defense spending scale </labl> <qstn> <qstnLit> L2c(1) IF R PLACES DOLE ON 7-PT DEFENSE SPENDING SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L2c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960471" ID="v960471" format="char" dcml="0"> <location cardNo="1" StartPos="788" width="1"/> <labl level="variable"> Pre. How important does R think defense spending is to Dole </labl> <qstn> <qstnLit> L2c(2) IF R PLACES DOLE ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L2c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960472" ID="v960472" format="char" dcml="0"> <location cardNo="1" StartPos="789" width="1"/> <labl level="variable"> Pre. R's placement of Perot on defense spending scale </labl> <qstn> <qstnLit> L2d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview conducted after question removed </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960473" ID="v960473" format="char" dcml="0"> <location cardNo="1" StartPos="790" width="1"/> <labl level="variable"> Pre. How certain is R of place of Perot on defense spend scale </labl> <qstn> <qstnLit> L2d(1) IF R PLACES PEROT ON 7-PT DEFENSE SPENDING SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L2d; interview conducted after question removed </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960474" ID="v960474" format="char" dcml="0"> <location cardNo="1" StartPos="791" width="1"/> <labl level="variable"> Pre. How important does R think defense spending is to Perot </labl> <qstn> <qstnLit> L2d(2) IF R PLACES PEROT ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ------------------------------------------------------------------- Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L2d; interview conducted after question removed </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960475" ID="v960475" format="char" dcml="0"> <location cardNo="1" StartPos="792" width="1"/> <labl level="variable"> Pre. R's placement of Dem Hse candidate on defense spend scale </labl> <qstn> <qstnLit> L2e IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] [See L2 for full text. Order of House candidates L2e-L2f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L2a; R did not recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960476" ID="v960476" format="char" dcml="0"> <location cardNo="1" StartPos="793" width="1"/> <labl level="variable"> Pre. R's placement of Rep Hse candidate on defense spending scale </labl> <qstn> <qstnLit> L2f IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of House candidates L2e-L2f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L2a; R did not recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960477" ID="v960477" format="char" dcml="0"> <location cardNo="1" StartPos="794" width="1"/> <labl level="variable"> Pre. R's placement of Dem Party on defense spending scale </labl> <qstn> <qstnLit> L2g IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of major parties L2g-L2h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L2a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960478" ID="v960478" format="char" dcml="0"> <location cardNo="1" StartPos="795" width="1"/> <labl level="variable"> Pre. R's place of Rep Party on defense spending scale </labl> <qstn> <qstnLit> L2h IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON DEFENSE SPENDING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of major parties L2g-L2h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L2a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Greatly decrease defense spending </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Greatly increase defense spending </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960479" ID="v960479" format="char" dcml="0"> <location cardNo="1" StartPos="796" width="1"/> <labl level="variable"> Pre. R's self-placement on govt health insurance scale </labl> <qstn> <qstnLit> L3 Please look at page 8 of the booklet. There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. (Suppose these people are at one end of a scale, at point 1). Others feel that all medical expenses should be paid by individuals and through private insurance plans like Blue Cross or some other company paid plans. (Suppose these people are at the other end, at point 7). And, of course, some other people have opinions somewhere in between at points 2,3,4,5, or 6. L3a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE: ------------------------------------------------------------------- See L3 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't though much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government insurance plan </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Private insurance plan </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960480" ID="v960480" format="char" dcml="0"> <location cardNo="1" StartPos="797" width="1"/> <labl level="variable"> Pre. R's place of Clinton on govt hlth insurance scale </labl> <qstn> <qstnLit> L3b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government insurance plan </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Private insurance plan </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960481" ID="v960481" format="char" dcml="0"> <location cardNo="1" StartPos="798" width="1"/> <labl level="variable"> Pre. R's place of Dole on gov hlth insurance scale </labl> <qstn> <qstnLit> L3c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government insurance plan </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Private insurance plan </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960482" ID="v960482" format="char" dcml="0"> <location cardNo="1" StartPos="799" width="1"/> <labl level="variable"> Pre. R's place of Perot on govt hlth insurance scale </labl> <qstn> <qstnLit> L3d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars.The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government insurance plan </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Private insurance plan </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960483" ID="v960483" format="char" dcml="0"> <location cardNo="1" StartPos="800" width="1"/> <labl level="variable"> Pre. R's self-placement on guar job/standard of living scale </labl> <qstn> <qstnLit> L4 Please look at page 9 of the booklet. Some people feel the government in Washington should see to it that every person has a job and a good standard of living (Suppose these people are at one end of a scale, at point 1.) Others think the government should just let each person get ahead on their own. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5, or 6. L4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ------------------------------------------------------------------- See L4 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't though much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should see to a job and good standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should let each person get ahead on own </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960484" ID="v960484" format="char" dcml="0"> <location cardNo="1" StartPos="801" width="1"/> <labl level="variable"> Pre. R's place of Clinton on guar job/standard of living scale </labl> <qstn> <qstnLit> L4b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should see to a job and good standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should let each person get ahead on own </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960485" ID="v960485" format="char" dcml="0"> <location cardNo="1" StartPos="802" width="1"/> <labl level="variable"> Pre. R's place of Dole on guar job/standard of living scale </labl> <qstn> <qstnLit> L4c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should see to a job and good standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should let each person get ahead on own </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960486" ID="v960486" format="char" dcml="0"> <location cardNo="1" StartPos="803" width="1"/> <labl level="variable"> Pre. R's place of Perot on guar job/standard of living scale </labl> <qstn> <qstnLit> L4d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question L4d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should see to a job and good standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Government should let each person get ahead on own </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960487" ID="v960487" format="char" dcml="0"> <location cardNo="1" StartPos="804" width="1"/> <labl level="variable"> Pre. R's self-place on aid to blacks scale </labl> <qstn> <qstnLit> L5 Please look at page 10 of the booklet. Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. (Suppose these people are at one end of a scale, at point 1.) Others feel that the government should not make any special effort to help blacks because they should help themselves. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5, or 6. L5a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON AID TO BLACKS SCALE ------------------------------------------------------------------- See L5 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should help blacks </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Blacks should help themselves </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960488" ID="v960488" format="char" dcml="0"> <location cardNo="1" StartPos="805" width="1"/> <labl level="variable"> Pre. How certain is R of self-place on aid to blacks scale </labl> <qstn> <qstnLit> L5a(1) IF R PLACES SELF ON 7-PT AID TO BLACKS SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in L5a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960489" ID="v960489" format="char" dcml="0"> <location cardNo="1" StartPos="806" width="1"/> <labl level="variable"> Pre. How important is the aid to blacks issue to R </labl> <qstn> <qstnLit> L5a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in L5a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960490" ID="v960490" format="char" dcml="0"> <location cardNo="1" StartPos="807" width="1"/> <labl level="variable"> Pre. R's place of Clinton on aid to blacks scale </labl> <qstn> <qstnLit> L5b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON AID TO BLACKS SCALE ------------------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should help blacks </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Blacks should help themselves </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960491" ID="v960491" format="char" dcml="0"> <location cardNo="1" StartPos="808" width="1"/> <labl level="variable"> Pre. How certain is R of place of Clinton on aid to blacks scale </labl> <qstn> <qstnLit> L5b(1) IF R PLACES CLINTON ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L5b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960492" ID="v960492" format="char" dcml="0"> <location cardNo="1" StartPos="809" width="1"/> <labl level="variable"> Pre. R's place of Dole on aid to blacks scale </labl> <qstn> <qstnLit> L5c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON AID TO BLACKS SCALE ------------------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should help blacks </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Blacks should help themselves </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960493" ID="v960493" format="char" dcml="0"> <location cardNo="1" StartPos="810" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Dole on aid to blacks scale </labl> <qstn> <qstnLit> L5c(1) IF R PLACES DOLE ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L5c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960494" ID="v960494" format="char" dcml="0"> <location cardNo="1" StartPos="811" width="1"/> <labl level="variable"> Pre. R's place of Perot on aid to blacks scale </labl> <qstn> <qstnLit> L5d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON AID TO BLACKS SCALE ------------------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Government should help blacks </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Blacks should help themselves </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960495" ID="v960495" format="char" dcml="0"> <location cardNo="1" StartPos="812" width="1"/> <labl level="variable"> Pre. How certain is R of place of Perot on aid to blacks scale </labl> <qstn> <qstnLit> L5d(1) IF R PLACES PEROT ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in L5d </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960496" ID="v960496" format="char" dcml="0"> <location cardNo="1" StartPos="813" width="1"/> <labl level="variable"> Pre. Spending on food stamps should be incr/decr </labl> <qstn> <qstnLit> L6 (Not looking at the booklet.) If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending INCREASED and for which would you like to see spending DECREASED? L6a (Should Federal Spending on) FOOD STAMPS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960497" ID="v960497" format="char" dcml="0"> <location cardNo="1" StartPos="814" width="1"/> <labl level="variable"> Pre. Spending on welfare programs should be incr/decr </labl> <qstn> <qstnLit> L6b (Should Federal Spending on) WELFARE PROGRAMS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960498" ID="v960498" format="char" dcml="0"> <location cardNo="1" StartPos="815" width="1"/> <labl level="variable"> Pre. Spending on AIDS research should be incr/decr </labl> <qstn> <qstnLit> L6c (Should Federal Spending on) AIDS RESEARCH (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960499" ID="v960499" format="char" dcml="0"> <location cardNo="1" StartPos="816" width="1"/> <labl level="variable"> Pre. Spending on foreign aid should be incr/decr </labl> <qstn> <qstnLit> L6d (Should Federal Spending on) FOREIGN AID (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960500" ID="v960500" format="char" dcml="0"> <location cardNo="1" StartPos="817" width="1"/> <labl level="variable"> Pre. Spending on aid to college students should be incr/decr </labl> <qstn> <qstnLit> L6e (Should Federal Spending on) FINANCIAL AID TO COLLEGE STUDENTS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960501" ID="v960501" format="char" dcml="0"> <location cardNo="1" StartPos="818" width="1"/> <labl level="variable"> Pre. Spending on the homeless should be incr/decr </labl> <qstn> <qstnLit> L6f (Should Federal Spending on) SOLVING THE PROBLEM OF THE HOMELESS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960502" ID="v960502" format="char" dcml="0"> <location cardNo="1" StartPos="819" width="1"/> <labl level="variable"> Pre. Spending on immigr control should be incr/decr </labl> <qstn> <qstnLit> L6g (Should Federal Spending on) TIGHTENING BORDER SECURITY AND PREVENTING ILLEGAL IMMIGRATION (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)?? ------------------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960503" ID="v960503" format="char" dcml="0"> <location cardNo="1" StartPos="820" width="1"/> <labl level="variable"> Pre. R's self-placement on abortion issue </labl> <qstn> <qstnLit> M1a Please look at page 11 of the Booklet. There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960504" ID="v960504" format="char" dcml="0"> <location cardNo="1" StartPos="821" width="1"/> <labl level="variable"> Pre. How certain is R of self-placement on abortion issue </labl> <qstn> <qstnLit> M1a(1) IF R HAS PLACED SELF ON ABORTION ISSUE: How certain are you of your position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960505" ID="v960505" format="char" dcml="0"> <location cardNo="1" StartPos="822" width="1"/> <labl level="variable"> Pre. How important is the abortion issue to R </labl> <qstn> <qstnLit> M1a(2) ALL RESPONDENTS (ABORTION ISSUE): How important is this issue to you? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in M1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960506" ID="v960506" format="char" dcml="0"> <location cardNo="1" StartPos="823" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on abortion issue </labl> <qstn> <qstnLit> M1b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960507" ID="v960507" format="char" dcml="0"> <location cardNo="1" StartPos="824" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Clinton on abortion issue </labl> <qstn> <qstnLit> M1b(1) IF R HAS PLACED CLINTON ON ABORTION ISSUE: How certain are you of BILL CLINTON'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960508" ID="v960508" format="char" dcml="0"> <location cardNo="1" StartPos="825" width="1"/> <labl level="variable"> Pre. How important does R think the abortion issue is to Clinton </labl> <qstn> <qstnLit> M1b(2) IF R HAS PLACED CLINTON ON ABORTION ISSUE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960509" ID="v960509" format="char" dcml="0"> <location cardNo="1" StartPos="826" width="1"/> <labl level="variable"> Pre. R's placement of Dole on abortion issue </labl> <qstn> <qstnLit> M1c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960510" ID="v960510" format="char" dcml="0"> <location cardNo="1" StartPos="827" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Dole on abortion issue </labl> <qstn> <qstnLit> M1c(1) IF R HAS PLACED DOLE ON ABORTION ISSUE: How certain are you of BOB DOLE'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960511" ID="v960511" format="char" dcml="0"> <location cardNo="1" StartPos="828" width="1"/> <labl level="variable"> Pre. How important does R think the abortion issue is to Dole </labl> <qstn> <qstnLit> M1c(2) IF R HAS PLACED DOLE ON ABORTION ISSUE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960512" ID="v960512" format="char" dcml="0"> <location cardNo="1" StartPos="829" width="1"/> <labl level="variable"> Pre. R's placement of Perot on abortion issue </labl> <qstn> <qstnLit> M1d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960513" ID="v960513" format="char" dcml="0"> <location cardNo="1" StartPos="830" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Perot on abortion issue </labl> <qstn> <qstnLit> M1d(1) IF R HAS PLACED PEROT ON ABORTION ISSUE: How certain are you of ROSS PEROT'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- Order of Presidential candidates M1b-M1d was randomized. See M1a for full text. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1d; question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960514" ID="v960514" format="char" dcml="0"> <location cardNo="1" StartPos="831" width="1"/> <labl level="variable"> Pre. How important does R think the abortion issue is to Perot </labl> <qstn> <qstnLit> M1d(2) IF R HAS PLACED PEROT ON ABORTION ISSUE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ------------------------------------------------------------------- Order of Presidential candidates M1b-M1d was randomized. See M1a for full text. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1d; question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960515" ID="v960515" format="char" dcml="0"> <location cardNo="1" StartPos="832" width="1"/> <labl level="variable"> Pre. R's placement of Dem House candidate on abortion issue </labl> <qstn> <qstnLit> M1e IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of House candidates M1e-M1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1a; R did not recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960516" ID="v960516" format="char" dcml="0"> <location cardNo="1" StartPos="833" width="1"/> <labl level="variable"> Pre. R's placement of Rep House candidate on abortion issue </labl> <qstn> <qstnLit> M1f IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of House candidates M1e-M1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1a; R did not recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960517" ID="v960517" format="char" dcml="0"> <location cardNo="1" StartPos="834" width="1"/> <labl level="variable"> Pre. R's placement of Dem Party on abortion issue </labl> <qstn> <qstnLit> M1g IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of major parties M1g-M1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960518" ID="v960518" format="char" dcml="0"> <location cardNo="1" StartPos="835" width="1"/> <labl level="variable"> Pre. R's placement of Rep Party on abortion issue </labl> <qstn> <qstnLit> M1h IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ABORTION ISSUE ------------------------------------------------------------------- See M1a for full text. Order of major parties M1g-M1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Never permitted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Rape, incest, danger only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Clear need </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Always as personal choice </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960519" ID="v960519" format="char" dcml="0"> <location cardNo="1" StartPos="836" width="1"/> <labl level="variable"> Pre. R's self-placement on reduction of crime scale </labl> <qstn> <qstnLit> M2 (Looking at page 12 of the booklet.) Some people say that the best way to reduce crime is to address the social problems that cause crime, like bad schools, poverty and joblessness. (Suppose these people are at one end of a scale, at point 1.) Other people say the best way to reduce crime is to make sure that criminals are caught, convicted and punished. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. M2a [RB] Where would you place YOURSELF on this scale or haven't you thought much about this? R SELF-PLACEMENT ON REDUCTION OF CRIME SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Social problems that cause crime, like bad schools, poverty, and joblessness </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Make sure criminals are caught, convicted and punished </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960520" ID="v960520" format="char" dcml="0"> <location cardNo="1" StartPos="837" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on reduction of crime scale </labl> <qstn> <qstnLit> M2b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON CRIME REDUCTION SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Social problems that cause crime, like bad schools, poverty, and joblessness </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Make sure criminals are caught, convicted and punished </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960521" ID="v960521" format="char" dcml="0"> <location cardNo="1" StartPos="838" width="1"/> <labl level="variable"> Pre. R's placement of Dole on reduction of crime scale </labl> <qstn> <qstnLit> M2c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON CRIME REDUCTION SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Social problems that cause crime, like bad schools, poverty, and joblessness </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Make sure criminals are caught, convicted and punished </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960522" ID="v960522" format="char" dcml="0"> <location cardNo="1" StartPos="839" width="1"/> <labl level="variable"> Pre. R's placement of Perot on reduction of crime scale </labl> <qstn> <qstnLit> M2d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON CRIME REDUCTION SCALE ------------------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, question removed from the field </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Social problems that cause crime, like bad schools, poverty, and joblessness </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Make sure criminals are caught, convicted and punished </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960523" ID="v960523" format="char" dcml="0"> <location cardNo="1" StartPos="840" width="1"/> <labl level="variable"> Pre. R's self-placement on jobs/environment scale </labl> <qstn> <qstnLit> M3 Please look at page 13 of the booklet. Some people think it is important to protect the environment even if it costs some jobs or otherwise reduces our standard of living. (Suppose these people are at one end of the scale, at point number 1.) Other people think that protecting the environment is not as important as maintaining jobs and our standard of living. (Suppose these people are at the other end of the scale, at point numbeer 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. M3a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON JOBS/ENVIRONMENT SCALE ------------------------------------------------------------------- See M3 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Protect environment, even if it costs jobs, standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Jobs, standard of living more important than environment </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960524" ID="v960524" format="char" dcml="0"> <location cardNo="1" StartPos="841" width="1"/> <labl level="variable"> Pre. How certain is R of self-placement on jobs/environment scale </labl> <qstn> <qstnLit> M3a(1) IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in M3a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960525" ID="v960525" format="char" dcml="0"> <location cardNo="1" StartPos="842" width="1"/> <labl level="variable"> Pre. How important is the jobs/environment issue to R </labl> <qstn> <qstnLit> M3a(2) ALL RESPONDENTS (JOBS/ENVIRONMENT SCALE): How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 9 in M3a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960526" ID="v960526" format="char" dcml="0"> <location cardNo="1" StartPos="843" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on jobs/environment scale </labl> <qstn> <qstnLit> M3b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON JOBS/ENVIRONMENT SCALE ------------------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Protect environment, even if it costs jobs, standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Jobs, standard of living more important than environment </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960527" ID="v960527" format="char" dcml="0"> <location cardNo="1" StartPos="844" width="1"/> <labl level="variable"> Pre. How certain is R of place of Clinton on jobs/enviro scale </labl> <qstn> <qstnLit> M3b(1) IF R HAS PLACED CLINTON ON JOBS/ENVIRONMENT SCALE: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M3b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960528" ID="v960528" format="char" dcml="0"> <location cardNo="1" StartPos="845" width="1"/> <labl level="variable"> Pre. How important does R think jobs/enviro issue is to Clinton </labl> <qstn> <qstnLit> M3b(2) IF R HAS PLACED CLINTON ON JOBS/ENVIRONMENT SCALE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M3b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960529" ID="v960529" format="char" dcml="0"> <location cardNo="1" StartPos="846" width="1"/> <labl level="variable"> Pre. R's placement of Dole on jobs/environment scale </labl> <qstn> <qstnLit> M3c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON JOBS/ENVIRONMENT SCALE ------------------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Protect environment, even if it costs jobs, standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Jobs, standard of living more important than environment </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960530" ID="v960530" format="char" dcml="0"> <location cardNo="1" StartPos="847" width="1"/> <labl level="variable"> Pre. How certain is R of place of Dole on jobs/enviro scale </labl> <qstn> <qstnLit> M3c(1) IF R HAS PLACED DOLE ON JOBS/ENVIRONMENT SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M3c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960531" ID="v960531" format="char" dcml="0"> <location cardNo="1" StartPos="848" width="1"/> <labl level="variable"> Pre. How important does R think jobs/enviro issue is to Dole </labl> <qstn> <qstnLit> M3c(2) IF R HAS PLACED DOLE ON JOBS/ENVIRONMENT SCALE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M3c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960532" ID="v960532" format="char" dcml="0"> <location cardNo="1" StartPos="849" width="1"/> <labl level="variable"> Pre. R's placement of Perot on jobs/environment scale </labl> <qstn> <qstnLit> M3d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON JOBS/ENVIRONMENT SCALE ------------------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview after Sept 26, 1996 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Protect environment, even if it costs jobs, standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Jobs, standard of living more important than environment </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960533" ID="v960533" format="char" dcml="0"> <location cardNo="1" StartPos="850" width="1"/> <labl level="variable"> Pre. How certain is R of placement of Perot on jobs/enviro scale </labl> <qstn> <qstnLit> M3d(1) IF R HAS PLACED PEROT ON JOBS/ENVIRONMENT SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ------------------------------------------------------------------- Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M3d; interview after Sept 26, 1996 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960534" ID="v960534" format="char" dcml="0"> <location cardNo="1" StartPos="851" width="1"/> <labl level="variable"> Pre. How important does R think jobs/enviro issue is to Perot </labl> <qstn> <qstnLit> M3d(2) IF R HAS PLACED PEROT ON JOBS/ENVIRONMENT SCALE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ------------------------------------------------------------------- Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in M3d; interview after Sept 26, 1996 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Very important </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat important </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not too important </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not important at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960535" ID="v960535" format="char" dcml="0"> <location cardNo="1" StartPos="852" width="1"/> <labl level="variable"> Pre. R's placement of Dem Party on jobs/environment scale </labl> <qstn> <qstnLit> M3e IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON JOBS/ENVIRONMENT SCALE ------------------------------------------------------------------- See M3 for full text. Order of major parties M3e-M3f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in M3a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Protect environment, even if it costs jobs, standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Jobs, standard of living more important than environment </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960536" ID="v960536" format="char" dcml="0"> <location cardNo="1" StartPos="853" width="1"/> <labl level="variable"> Pre. R's placement of Rep Party on jobs/environment scale </labl> <qstn> <qstnLit> M3f IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON JOBS/ENVIRONMENT SCALE ------------------------------------------------------------------- See M3 for full text. Order of major parties M3e-M3f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in M3a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Protect environment, even if it costs jobs, standard of living </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Jobs, standard of living more important than environment </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960537" ID="v960537" format="char" dcml="0"> <location cardNo="1" StartPos="854" width="1"/> <labl level="variable"> Pre. R's self-placement on environmental regulation scale </labl> <qstn> <qstnLit> M4 Please look at page 14 of the booklet. Some people think we need much tougher government regulations on business in order to protect the environmnt. (Suppose these people are at one end of a scale, at point 1.) Others think that current regulation to protect the environment are already too much of a burden on business. (Suppose these people are at the other end of the scale, a point number 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. M4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ------------------------------------------------------------------- See M4 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Tougher regulations on business needed to protect the environment </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Regulations to protect environment already too much of a burden on business </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960538" ID="v960538" format="char" dcml="0"> <location cardNo="1" StartPos="855" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on environmental regulation scale </labl> <qstn> <qstnLit> M4b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ------------------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Tougher regulations on business needed to protect the environment </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Regulations to protect environment already too much of a burden on business </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960539" ID="v960539" format="char" dcml="0"> <location cardNo="1" StartPos="856" width="1"/> <labl level="variable"> Pre. R's placement of Dole on environmental regulation scale </labl> <qstn> <qstnLit> M4c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ------------------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Tougher regulations on business needed to protect the environment </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Regulations to protect environment already too much of a burden on business </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960540" ID="v960540" format="char" dcml="0"> <location cardNo="1" StartPos="857" width="1"/> <labl level="variable"> Pre. R's placement of Perot on environmental regulation scale </labl> <qstn> <qstnLit> M4d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ------------------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question M4d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview after Sept 26, 1996 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Tougher regulations on business needed to protect the environment </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Regulations to protect environment already too much of a burden on business </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960541" ID="v960541" format="char" dcml="0"> <location cardNo="1" StartPos="858" width="1"/> <labl level="variable"> Pre. R's placement of Dem Party on enviro regulation scale </labl> <qstn> <qstnLit> M4e IF R HAS PLACED SELF ON 7-PT ENVIRONMENTAL REGULATION SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ------------------------------------------------------------------- See M4 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in M4a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Tougher regulations on business needed to protect the environment </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Regulations to protect environment already too much of a burden on business </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960542" ID="v960542" format="char" dcml="0"> <location cardNo="1" StartPos="859" width="1"/> <labl level="variable"> Pre. R's placement of Rep Party on enviro regulation scale </labl> <qstn> <qstnLit> M4f IF R HAS PLACED SELF ON 7-PT ENVIRONMENTAL REGULATION SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ------------------------------------------------------------------- See M4 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0,8,9 in M4a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Tougher regulations on business needed to protect the environment </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Regulations to protect environment already too much of a burden on business </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960543" ID="v960543" format="char" dcml="0"> <location cardNo="1" StartPos="860" width="1"/> <labl level="variable"> Pre. R's self-placement on women's rights scale </labl> <qstn> <qstnLit> N1 Please look at page 15 of the booklet. Recently there was been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. (Suppose these people are at one end of a scale, at point 1.) Others feel that a woman's place is in the home. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. N1a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON WOMEN'S ROLE SCALE ------------------------------------------------------------------- See N1 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Haven't thought much about it </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Women and men should have equal roles </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> A woman's place is in the home </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960544" ID="v960544" format="char" dcml="0"> <location cardNo="1" StartPos="861" width="1"/> <labl level="variable"> Pre. R's placement of Clinton on women's rights scale </labl> <qstn> <qstnLit> N1b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON WOMEN'S ROLE SCALE ------------------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Women and men should have equal roles </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> A woman's place is in the home </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960545" ID="v960545" format="char" dcml="0"> <location cardNo="1" StartPos="862" width="1"/> <labl level="variable"> Pre. R's placement of Dole on women's rights scale </labl> <qstn> <qstnLit> N1c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON WOMEN'S ROLE SCALE ------------------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Women and men should have equal roles </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> A woman's place is in the home </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960546" ID="v960546" format="char" dcml="0"> <location cardNo="1" StartPos="863" width="1"/> <labl level="variable"> Pre. R's placement of Perot on women's rights scale </labl> <qstn> <qstnLit> N1d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON WOMEN'S ROLE SCALE ------------------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question N1d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, interview after September 26, 1996 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Women and men should have equal roles </txt> </catgry> <catgry> <catValu> 2 </catValu> </catgry> <catgry> <catValu> 3 </catValu> </catgry> <catgry> <catValu> 4 </catValu> </catgry> <catgry> <catValu> 5 </catValu> </catgry> <catgry> <catValu> 6 </catValu> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> A woman's place is in the home </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960547" ID="v960547" format="char" dcml="0"> <location cardNo="1" StartPos="864" width="1"/> <labl level="variable"> Pre. Does R expect to vote in the national elections </labl> <qstn> <qstnLit> N2 (Not using the booklet) So far as you know now, do you expect to vote in the national elections this coming November or not? ------------------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960548" ID="v960548" format="char" dcml="0"> <location cardNo="1" StartPos="865" width="1"/> <labl level="variable"> Pre. (Voters) For whom does R plan to vote for President </labl> <qstn> <qstnLit> N2a IF R INTENDS TO VOTE: Who do you think you will vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you will vote for in the election for President?) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in N2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None (if voter, will not vote for President) (VOL) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960549" ID="v960549" format="char" dcml="0"> <location cardNo="1" StartPos="866" width="1"/> <labl level="variable"> Pre. (Voters) Strength of R's Presidential candidate preference </labl> <qstn> <qstnLit> N2b IF R INTENDS TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R INTENDS TO VOTE FOR PRESIDENT: Would you say that your preference for this candidate is strong or not strong? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in N2; 5,8,9 in N2a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Not strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960550" ID="v960550" format="char" dcml="0"> <location cardNo="1" StartPos="867" width="1"/> <labl level="variable"> Pre. (Nonvoters) For whom would R vote for President </labl> <qstn> <qstnLit> N2c IF R DOES NOT INTEND TO VOTE: If you were going to vote, who do you think you would vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you would vote for in the election for President?) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1,8,9 in N2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960551" ID="v960551" format="char" dcml="0"> <location cardNo="1" StartPos="868" width="1"/> <labl level="variable"> Pre. (Nonvoters) Strength of R's Presidential cand preference </labl> <qstn> <qstnLit> N2d IF R DOES NOT INTEND TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R WOULD VOTE FOR PRESIDENT: Would you say that your preference for this candidate is strong or not strong? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1,8,9 in N2; 5,8,9 in N2c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Not Strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960552" ID="v960552" format="char" dcml="0"> <location cardNo="1" StartPos="869" width="1"/> <labl level="variable"> Pre. Who would R most like to see elected President </labl> <qstn> <qstnLit> N3a Sometimes people do not vote for candidates who have no chance of winning. Regardless of who you think will win, who would you most like to see elected in November -- [Bob Dole], [Bill Clinton], or [Ross Perot]? ------------------------------------------------------------------- Order of presidential candidate names read in question text was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None of the above (VOL) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> R says "I don't care" (VOL) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960553" ID="v960553" format="char" dcml="0"> <location cardNo="1" StartPos="870" width="1"/> <labl level="variable"> Pre. Which other Pres cand would R find acceptable </labl> <qstn> <qstnLit> N3b IF R HAS IDENTIFIED A CANDIDATE WHOM R WOULD MOST LIKE TO SEE ELECTED PRESIDENT: If you could cast more than one vote in the presidential election this November, which other candidate would you find acceptable and vote for? ------------------------------------------------------------------- Candidate name in N3b was accepted only if different from N3a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,6,8,9 in N3a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> None of the above (VOL) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960554" ID="v960554" format="char" dcml="0"> <location cardNo="1" StartPos="871" width="1"/> <labl level="variable"> Pre. (Voters) For whom does R plan to vote for House </labl> <qstn> <qstnLit> N4a IF R INTENDS TO VOTE: Who do you think you will vote for in the election for the U.S. House of Representatives in this district (alternatively -- in the district in which you will vote)? ------------------------------------------------------------------- This question was intended for administration regardless of type of House race, however, with a single exception, an error in the application erroneously skipped this question for Rs in districts with unopposed House races. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in N2; type race 14 or 24 (exc. 1 case); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate name given </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate name given </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> No one (VOL) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 'The Democrat' (VOL) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 'The Republican' (VOL) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960555" ID="v960555" format="char" dcml="0"> <location cardNo="1" StartPos="872" width="2"/> <labl level="variable"> Pre. (Voters) Candidate code of R's House vote </labl> <qstn> <qstnLit> N4ax IF R INTENDS TO VOTE: (Who do you think you will vote for in the election for the U.S. House of Representatives in this district?) CANDIDATE CODE ------------------------------------------------------------------- See note N4a. Built from N4a and type of race. Responses of 'the Democrat' and 'the Republican' were coded to the appropriate candidate code of the Democratic or Republican candidate in R's district. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in N2; 3 in N4a; type race 14 or 24 (exc. 1 case); Washington DC </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960556" ID="v960556" format="char" dcml="0"> <location cardNo="1" StartPos="874" width="1"/> <labl level="variable"> Pre. (Voters) Strength of R's House candidate preference </labl> <qstn> <qstnLit> N4b IF R INTENDS TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R INTENDS TO VOTE FOR CONGRESS: Would you say that your preference for this candidate is strong or not strong? ------------------------------------------------------------------- See note N4a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in N2; 3,8,9 in N4a; type race 14 or 24 (exc. 1 case); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Not strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960557" ID="v960557" format="char" dcml="0"> <location cardNo="1" StartPos="875" width="1"/> <labl level="variable"> Pre. (Nonvoters) For whom would R vote for House </labl> <qstn> <qstnLit> N4c IF R DOES NOT INTEND TO VOTE : Who do you think you would vote for in the election for the U.S. House of Representatives in this district? ------------------------------------------------------------------- This question was intended for administration regardless of type of House race, however, with a single exception, an error in the application erroneously skipped this question for Rs in districts with unopposed House races. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1,8,9 in N2; type race 14 or 24 (exc. 1 case); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate name given </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate name given </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> No one (VOL) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 'The Democrat (VOL)' </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 'The Republican (VOL)' </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960558" ID="v960558" format="char" dcml="0"> <location cardNo="1" StartPos="876" width="2"/> <labl level="variable"> Pre. (Nonvoters) Candidate code of R's preferred House candidate </labl> <qstn> <qstnLit> N4cx IF R DOES NOT INTEND TO VOTE : (Who do you think you would vote for in the election for the U.S. House of Representatives in this district?) CANDIDATE CODE ------------------------------------------------------------------- See note N4c. Built from N4c and type of race. Responses of 'the Democrat' and 'the Republican' were coded to the appropriate candidate code of the Democratic or Republican candidate in R's district. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 1,8,9 in N2; 3 in N4c; type race 14 or 24 (exc. 1 case); Washington DC </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960559" ID="v960559" format="char" dcml="0"> <location cardNo="1" StartPos="878" width="1"/> <labl level="variable"> Pre. (Nonvoters) Strength of R's House candidate preference </labl> <qstn> <qstnLit> N4d IF R DOES NOT INTEND TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R WOULD VOTE FOR CONGRESS: Would you say that your preference for this candidate is strong or not strong? ------------------------------------------------------------------- See note N4c. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap,1,8,9 in N2; 3,8,9 in N4c; type race 14 or 24 (exc. 1 case); Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Not strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960560" ID="v960560" format="char" dcml="0"> <location cardNo="1" StartPos="879" width="1"/> <labl level="variable"> Pre. Spending on Soc Sec should be incr or decr </labl> <qstn> <qstnLit> N5 Here are some questions about Federal spending. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending INCREASED and for which would you like to see spending DECREASED. N5a (Should Federal spending on) SOCIAL SECURITY (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960561" ID="v960561" format="char" dcml="0"> <location cardNo="1" StartPos="880" width="1"/> <labl level="variable"> Pre. Spending on env protection should be incr or decreased </labl> <qstn> <qstnLit> N5b (Should Federal spending on) IMPROVING AND PROTECTING THE ENVIRONMENT (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960562" ID="v960562" format="char" dcml="0"> <location cardNo="1" StartPos="881" width="1"/> <labl level="variable"> Pre. Spending on public schools should be increased or decreased </labl> <qstn> <qstnLit> N5c (Should Federal spending on) PUBLIC SCHOOLS (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960563" ID="v960563" format="char" dcml="0"> <location cardNo="1" StartPos="882" width="1"/> <labl level="variable"> Pre. Spending on crime reduction should be increased or decreased </labl> <qstn> <qstnLit> N5d (Should Federal spending on) DEALING WITH CRIME (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960564" ID="v960564" format="char" dcml="0"> <location cardNo="1" StartPos="883" width="1"/> <labl level="variable"> Pre. Spending on child care should be increased or decreased </labl> <qstn> <qstnLit> N5e (Should Federal spending on) CHILD CARE (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960565" ID="v960565" format="char" dcml="0"> <location cardNo="1" StartPos="884" width="1"/> <labl level="variable"> Pre. Spending on poor people should be incr/decr </labl> <qstn> <qstnLit> N5f (Should Federal spending on) POOR PEOPLE (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ------------------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Increased </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Kept about the same </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Cut out entirely (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960566" ID="v960566" format="char" dcml="0"> <location cardNo="1" StartPos="885" width="1"/> <labl level="variable"> Pre. How much of the time does R trust the fed govt to do right </labl> <qstn> <qstnLit> Q1 People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the GOVERNMENT IN GENERAL. We want to see how you feel about these ideas. For example: How much of the time do you think you can trust the government in Washington to do what is right--JUST ABOUT ALWAYS, MOST OF THE TIME, or ONLY SOME OF THE TIME? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Just about always </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Most of the time </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Only some of the time </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> None of the time (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960567" ID="v960567" format="char" dcml="0"> <location cardNo="1" StartPos="886" width="1"/> <labl level="variable"> Pre. Does R think that most people can be trusted </labl> <qstn> <qstnLit> Q2 Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Can be trusted </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Can't be too careful dealing with people </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960568" ID="v960568" format="char" dcml="0"> <location cardNo="1" StartPos="887" width="1"/> <labl level="variable"> Pre. Does R agree that "People like me have no say in government" </labl> <qstn> <qstnLit> Q2.1 Please look at page 16 of the booklet. Please tell me how much you agree or disagree with this statement: "People like me don't have any say about what the government does." </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Agree strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Agree somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Neither agree nor disagree </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disagree somewhat </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disagree strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960569" ID="v960569" format="char" dcml="0"> <location cardNo="1" StartPos="888" width="1"/> <labl level="variable"> Pre. Does R think that most pple would try to take advan of R </labl> <qstn> <qstnLit> Q3 (Not using the booklet) Do you think most people would try to take advantage of you if they got the chance or would they try to be fair? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Take advantage </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Try to be fair </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960570" ID="v960570" format="char" dcml="0"> <location cardNo="1" StartPos="889" width="1"/> <labl level="variable"> Pre. How similar does R think other people are to R </labl> <qstn> <qstnLit> Q4 In terms of general attitudes and beliefs, how similar would you say other people are to you--VERY SIMILAR, SOMEWHAT SIMILAR, NOT VERY SIMILAR, or NOT AT ALL SIMILAR? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Very similar </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat similar </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not very similar </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not at all similar </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960571" ID="v960571" format="char" dcml="0"> <location cardNo="1" StartPos="890" width="1"/> <labl level="variable"> Pre. Is religion an important part of R's life </labl> <qstn> <qstnLit> Q5 Do you consider religion to be an IMPORTANT part of your life, or NOT? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Important </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Not important </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960572" ID="v960572" format="char" dcml="0"> <location cardNo="1" StartPos="891" width="1"/> <labl level="variable"> Pre. How much guidance does religion provide in R's life </labl> <qstn> <qstnLit> Q6 IF R SAYS RELIGION IS IMPORTANT: Would you say your religion provides SOME guidance in your day-to-day living, QUITE A BIT of guidance, or A GREAT DEAL of guidance in your day-to-day life? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2,8,9 in Q5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Some </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite a bit </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> A great deal </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960573" ID="v960573" format="char" dcml="0"> <location cardNo="1" StartPos="892" width="1"/> <labl level="variable"> Pre. How frequently does R pray </labl> <qstn> <qstnLit> Q7a Please look at page 17 of the booklet. People practice their religion in different ways. Outside of attending religious services, do you pray SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Several times a day </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Once a day </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> A few times a week </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Once a week or less </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Never </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960574" ID="v960574" format="char" dcml="0"> <location cardNo="1" StartPos="893" width="1"/> <labl level="variable"> Pre. How frequently does R read the Bible </labl> <qstn> <qstnLit> Q7b (Looking at page 17 of the booklet) Outside of attending religious services, do you read the Bible SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Several times a day </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Once a day </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> A few times a week </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Once a week or less </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Never </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960575" ID="v960575" format="char" dcml="0"> <location cardNo="1" StartPos="894" width="1"/> <labl level="variable"> Pre. R's view on whether the Bible is the word of God </labl> <qstn> <qstnLit> Q8 Please look at page 18 of the booklet. Which of these statements comes closest to describing your feelings about the Bible? You can just give me the number of your choice. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Bible is actual word of God </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bible is word of God, but not literally </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Bible is not the word of God </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960576" ID="v960576" format="char" dcml="0"> <location cardNo="1" StartPos="895" width="1"/> <labl level="variable"> Pre. Does R attend religious services (apart from special events) </labl> <qstn> <qstnLit> X1 (Not using the booklet) Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; RF </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960577" ID="v960577" format="char" dcml="0"> <location cardNo="1" StartPos="896" width="1"/> <labl level="variable"> Pre. Does R consider himself/herself part of a church </labl> <qstn> <qstnLit> X1a IF R DOES NOT ATTEND RELIGIOUS SERVICES: Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1,8,9 in X1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; RF </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960578" ID="v960578" format="char" dcml="0"> <location cardNo="1" StartPos="897" width="1"/> <labl level="variable"> Pre. How frequently does R attend religious services </labl> <qstn> <qstnLit> X2 IF R ATTENDS RELIGIOUS SERVICES: Do you go to religious services EVERY WEEK, ALMOST EVERY WEEK, ONCE OR TWICE A MONTH, A FEW TIMES A YEAR, OR NEVER? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in X1 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Every week </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Almost every week </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Once or twice a month </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> A few times a year </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Never </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960579" ID="v960579" format="char" dcml="0"> <location cardNo="1" StartPos="898" width="1"/> <labl level="variable"> Pre. Does R attend religious services more often than once a week </labl> <qstn> <qstnLit> X2a IF R SAYS ATTENDS RELIGIOUS SERVICES 'EVERY WEEK': Would you say you go to religious services ONCE A WEEK or MORE OFTEN THAN ONCE A WEEK? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in X1; 2-5,8,9 in X2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Once a week </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> More often than once </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; RF </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960580" ID="v960580" format="char" dcml="0"> <location cardNo="1" StartPos="899" width="1"/> <labl level="variable"> Pre. (Interviewer checkpoint) Does R attend a place of worship </labl> <qstn> <qstnLit> X3 IF R ATTENDS CHURCH: / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: INTERVIEWER CHECKPOINT: DOES R ATTEND CHURCH? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> </catgryGrp> </var> <var name="v960581" ID="v960581" format="char" dcml="0"> <location cardNo="1" StartPos="900" width="1"/> <labl level="variable"> Pre. Religious affiliation of R's place of worship </labl> <qstn> <qstnLit> X3a IF R ATTENDS RELIGIOUS SERVICES: Do you mostly attend a place of worship that is PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in X1; 5 in X2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Protestant </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Roman Catholic </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Jewish </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; RF </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960582" ID="v960582" format="char" dcml="0"> <location cardNo="1" StartPos="901" width="1"/> <labl level="variable"> Pre. R's religious affiliation </labl> <qstn> <qstnLit> X3b IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: Do you consider yourself PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 1,8,9 in X1; 5,8,9 in X1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Protestant </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Roman Catholic </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Jewish </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; RF </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960583" ID="v960583" format="char" dcml="0"> <location cardNo="1" StartPos="902" width="2"/> <labl level="variable"> Pre. (Protestant) R's church/denomination </labl> <qstn> <qstnLit> X4 IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT CONSIDERS SELF PROTESTANT OR 'OTHER':/ IF R ATTENDS SERVICES AS PROTESTANT 'OTHER': What church or denomination is that? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/X3b; </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Baptist </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Episcopalian/Anglican/Church of England </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Lutheran </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Methodist </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 'Just Protestant' </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Presbyterian </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Reformed </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Brethren </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Evangelical United Brethren </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> 'Christian' or 'just Christian' </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Christian Scientist </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Church (or Churches) of Christ </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> United Church of Christ </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Disciples of Christ </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Church of God </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Assembly of God </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> Congregationalist </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> Holiness </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> Pentacostal </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> Friends, Quaker </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Orthodox, e.g. Greek, Russian (specify) </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Non-denominational-- protestant </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Mormons </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Jehovah's Witnesses </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> Latter Day Saints </txt> </catgry> <catgry> <catValu> 26 </catValu> <txt level="category"> Unitarian/Universalist </txt> </catgry> <catgry> <catValu> 27 </catValu> <txt level="category"> Buddhist </txt> </catgry> <catgry> <catValu> 28 </catValu> <txt level="category"> Hindu </txt> </catgry> <catgry> <catValu> 29 </catValu> <txt level="category"> Muslim/Islam </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Native American </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960584" ID="v960584" format="char" dcml="0"> <location cardNo="1" StartPos="904" width="1"/> <labl level="variable"> Pre. With what Baptist group is R's church affiliated </labl> <qstn> <qstnLit> X4a IF R DENOMINATION IS BAPTIST: With which Baptist group is your church associated? (Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group?) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 2-30,97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Southern Baptist Convention </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> American Baptist Churches in USA </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> American Baptist Association </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Independent Baptist </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960585" ID="v960585" format="char" dcml="0"> <location cardNo="1" StartPos="905" width="1"/> <labl level="variable"> Pre. (Baptist) Is R's church local or affil with a Baptist grp </labl> <qstn> <qstnLit> X4b IF R'S DENOMINATION IS BAPTIST: IF R'S CHURCH IS INDEPENDENT BAPTIST: Are you affiliated with any larger Baptist group or is this strictly a local church? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 2-30,97-99 in X4; 1,2,3,7,8,9 in X4a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Larger Baptist group (specify) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Local </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960586" ID="v960586" format="char" dcml="0"> <location cardNo="1" StartPos="906" width="1"/> <labl level="variable"> Pre. With what Lutheran group is R's church affiliated </labl> <qstn> <qstnLit> X4c IF R DENOMINATION IS LUTHERAN: Is this church part of the Evangelical Lutheran Church in American, the Missouri Synod, or some other Lutheran group? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1,2,4-30,97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Evangelical Lutheran Church </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Missouri Synod </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960587" ID="v960587" format="char" dcml="0"> <location cardNo="1" StartPos="907" width="1"/> <labl level="variable"> Pre. With what Methodist group is R's church affiliated </labl> <qstn> <qstnLit> X4d IF R DENOMINATION IS METHODIST: Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-3, 5-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> United Methodist Church </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> African Methodist Episcopal </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960588" ID="v960588" format="char" dcml="0"> <location cardNo="1" StartPos="908" width="1"/> <labl level="variable"> Pre. With what Presbyterian group is R's church affiliated </labl> <qstn> <qstnLit> X4e IF R DENOMINATION IS PRESBYTERIAN: Is this the Presbyterian Church in the USA or some other Presbyterian group? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-5, 7-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Presbyterian Church USA (formerly United Presbyterian Church) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960589" ID="v960589" format="char" dcml="0"> <location cardNo="1" StartPos="909" width="1"/> <labl level="variable"> Pre. With what Reformed group is R's church affiliated </labl> <qstn> <qstnLit> X4f IF R DENOMINATION IS REFORMED CHURCH: Is this the Christian Reformed Church, the Reformed Church in America or some other Reformed group? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-6, 8-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Christian Reformed Church </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> The Reformed Church in America </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960590" ID="v960590" format="char" dcml="0"> <location cardNo="1" StartPos="910" width="1"/> <labl level="variable"> Pre. With what Brethren group is R's church affiliated </labl> <qstn> <qstnLit> X4g IF R'S DENOMINATION IS BRETHREN: Is this the Church of the Brethren, the Plymouth Brethren, or what? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-7, 9-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Church of the Brethren </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> The Plymouth Brethren </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960591" ID="v960591" format="char" dcml="0"> <location cardNo="1" StartPos="911" width="1"/> <labl level="variable"> Pre. By "Christian" does R mean Disciples of Christ </labl> <qstn> <qstnLit> X4h IF R SAYS DENOMINATION IS 'JUST CHRISTIAN': When you say "Christian" does that mean the denomination called the "Christian Church Disciples of Christ," or some other Christian denomination, or do you mean to say "I am just a Christian"? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-9,11-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Disciples of Christ </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> I am just a Christian </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960592" ID="v960592" format="char" dcml="0"> <location cardNo="1" StartPos="912" width="1"/> <labl level="variable"> Pre. With what Church of Christ group is R's church affiliated </labl> <qstn> <qstnLit> X4i IF R DENOMINATION IS CHURCH OF CHRIST: Is this the Church of Christ or the United Church of Christ? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-11, 13-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Church of Christ </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> United Church of Christ </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960593" ID="v960593" format="char" dcml="0"> <location cardNo="1" StartPos="913" width="1"/> <labl level="variable"> Pre. With what Church of God group is R's church affiliated </labl> <qstn> <qstnLit> X4j IF R DENOMINATION IS CHURCH OF GOD: Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,,8,9 in X3a/b; 1-14, 16-30, 97-99 in X4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Of Anderson, Indiana </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Of Cleveland, Tennessee </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Church of God in Christ </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960594" ID="v960594" format="char" dcml="0"> <location cardNo="1" StartPos="914" width="1"/> <labl level="variable"> Pre. (Holiness or Pentecostal) What is R's church </labl> <qstn> <qstnLit> X4k IF R'S DENOMINATION IS HOLINESS OR PENTACOSTAL: What kind of church is that? What is it called exactly? Is that part of a larger church or denomination? What is that church called? ------------------------------------------------------------------- (Interviewer note: THESE QUESTIONS ARE PROBES. USE THESE AND OTHERS TO GET AS MUCH SPECIFIC INFORMATION AS POSSIBLE) Q.X4k field is blank. The open-ended responses have been hand-coded into the religion summary variable, X10 but the actual response texts have been deleted. 0. Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-17, 20-30, 97-99 in X4 </qstnLit> </qstn> </var> <var name="v960595" ID="v960595" format="char" dcml="0"> <location cardNo="1" StartPos="915" width="1"/> <labl level="variable"> Pre. (Other Protestant group) What is the name/affil of R's church </labl> <qstn> <qstnLit> X4kx IF R'S DENOMINATION SPECIFIES 'OTHER' IN X4a-X4k: OTHER (SPECIFY) GROUPS: ------------------------------------------------------------------- Q.X4kx field is blank. Open-ended responses coded as 'other' in X4a-X4k have been hand-coded into the religion summary var X10 but actual response texts have been deleted. </qstnLit> </qstn> </var> <var name="v960596" ID="v960596" format="char" dcml="0"> <location cardNo="1" StartPos="916" width="1"/> <labl level="variable"> Pre. (Not Prot/Cath/Jewish) What is R's place of worship </labl> <qstn> <qstnLit> X4m IF R DOES NOT IDENTIFY A DENOMINATION IN X4: What is it called exactly? Is that church part of a denomination? ------------------------------------------------------------------- (Interviewer note: USE ANY OR ALL AS NECESSARY; GET AS MUCH DETAIL AS POSSIBLE). Q.X4m field has been blanked. Open-ended responses coded as 'other' in X4 have been hand-coded into the religion summary var X10 but actual response texts have been deleted. 0. Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-30, 98-99 in X4 </qstnLit> </qstn> </var> <var name="v960597" ID="v960597" format="char" dcml="0"> <location cardNo="1" StartPos="917" width="1"/> <labl level="variable"> Pre. (R not alry ident as Chrst) Is R's place of worship Christian </labl> <qstn> <qstnLit> X4m(1) IF R CONSIDERS SELF/ ATTENDS SERVICES AS PROTESTANT OR 'OTHER': / IF R DOES NOT IDENTIFY A DENOMINATION IN X4: IF R HAS NOT ALREADY IDENTIFIED SELF AS CHRISTIAN: (IF NECESSARY:) Is that group Christian? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-30, 98,99 in X4; 97 in X4 and 1 in X3a/X3b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960598" ID="v960598" format="char" dcml="0"> <location cardNo="1" StartPos="918" width="1"/> <labl level="variable"> Pre. (Jewish) Is R (or R's place of worship) Orth, Conser, or Ref </labl> <qstn> <qstnLit> X6a/b IF R ATTENDS JEWISH RELIGIOUS SERVICES: / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT CONSIDERS SELF JEWISH: a. Do you usually attend a synagogue or temple that is ORTHODOX, CONSERVATIVE, REFORM or what? b. Do you consider yourself ORTHODOX, CONSERVATIVE, REFORM, or what? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 5 in X2; 1,2,7,8,9 in X3a/X3b </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Orthodox </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Conservative </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Reform </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960599" ID="v960599" format="char" dcml="0"> <location cardNo="1" StartPos="919" width="1"/> <labl level="variable"> Pre. Is R officially a member of a place of worship </labl> <qstn> <qstnLit> X7 IF R ATTENDS RELIGIOUS SERVICES: IF R THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: Are you officially a member of a parish, congregation, temple or other place of worship? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960600" ID="v960600" format="char" dcml="0"> <location cardNo="1" StartPos="920" width="1"/> <labl level="variable"> Pre. Type of R's Christianity </labl> <qstn> <qstnLit> X8 IF R IS CHRISTIAN: (Please look at page 19 of the booklet.) Which one of these words BEST describes your kind of Christianity, Fundamentalist, Evangelical, Charismatic or Spirit-Filled, Moderate to Liberal? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Fundamentalist </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Evangelical </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Charismatic or spirit filled </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Moderate to liberal </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Something else (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960601" ID="v960601" format="char" dcml="0"> <location cardNo="1" StartPos="921" width="1"/> <labl level="variable"> Pre. Is R a born-again Christian </labl> <qstn> <qstnLit> X9 IF R IS CHRISTIAN: (Not using the booklet.) Would you call yourself a born-again Christian, that is, have you personally had a conversion experience related to Jesus Christ? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in X1; 5,8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960602" ID="v960602" format="char" dcml="0"> <location cardNo="1" StartPos="922" width="3"/> <labl level="variable"> Pre. Summary of R's religion </labl> <qstn> <qstnLit> X10 RELIGION SUMMARY ------------------------------------------------------------------- See the RELIGION master code. This variable summarizes the information gathered in questions X3a/b, X4, X4a-m, X4m(1), X6a/b. Information collected in the open-ended responses to the religion section component questions have been hand coded into this summary variable. Codes followed by * have been newly added in 1996. Codes 010-997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, no religious identification or preference (and R does not attend), 5 in X1a </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK/refused (8 in X1, 8 in X1a, 8 in X3a/b, 98 in X4) </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA (9 in X1, 9 in X1a, 9 in X3a/b, 99 in X4) </txt> </catgry> </catgryGrp> </var> <var name="v960603" ID="v960603" format="char" dcml="0"> <location cardNo="1" StartPos="925" width="2"/> <labl level="variable"> Pre. R's month of birth </labl> <qstn> <qstnLit> Y1a What is the month, day and year of your birth? (MONTH) ------------------------------------------------------------------- Month 1-12 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="96"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> January </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> February </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> March </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> April </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> May </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> June </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> July </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> August </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> September </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> October </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> November </txt> </catgry> <catgry missing="Y"> <catValu> 97 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> Refused </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960604" ID="v960604" format="char" dcml="0"> <location cardNo="1" StartPos="927" width="4"/> <labl level="variable"> Pre. R's year of birth </labl> <qstn> <qstnLit> Y1c What is the month, day and year of your birth? (YEAR) ------------------------------------------------------------------- Actual year was coded, and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9997"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9997 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> Refused </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960605" ID="v960605" format="char" dcml="0"> <location cardNo="1" StartPos="931" width="2"/> <labl level="variable"> Pre. R's Age </labl> <qstn> <qstnLit> Y1x [What is the month, day and year of your birth?] R'S AGE ------------------------------------------------------------------- Built from Y1a-Y1b. Month and year of R's birth was subtracted from month and year of interview. If year of birth was NA or refused but age of respondent was given by informant in the household listing, then age from household listing was used. Age 18-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 9999 in Y1c </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 years or more </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> Refused </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; DK </txt> </catgry> </catgryGrp> </var> <var name="v960606" ID="v960606" format="char" dcml="0"> <location cardNo="1" StartPos="933" width="1"/> <labl level="variable"> Pre. R's marital status </labl> <qstn> <qstnLit> Y2 Are you married now and living with your (husband/wife)--or are you widowed, divorced, separated, or have you never married? ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Married </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Widowed </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Divorced </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Separated </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Never married </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Partners, not married (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960607" ID="v960607" format="char" dcml="0"> <location cardNo="1" StartPos="934" width="2"/> <labl level="variable"> Pre. Highest grade R has completed </labl> <qstn> <qstnLit> Y3 What is the highest grade of school or year of college you have completed? ------------------------------------------------------------------- Grade 0-17 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="98"/> </invalrng> <catgryGrp> <catgry> <catValu> 17 </catValu> <txt level="category"> 17 or more </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960608" ID="v960608" format="char" dcml="0"> <location cardNo="1" StartPos="936" width="1"/> <labl level="variable"> Pre. Has R earned a high school diploma/passed the GED </labl> <qstn> <qstnLit> Y3a IF R HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did you get a high school diploma or pass a high school equivalency test? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 13-17, 98,99 in Y3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960609" ID="v960609" format="char" dcml="0"> <location cardNo="1" StartPos="937" width="2"/> <labl level="variable"> Pre. Highest degree R has earned </labl> <qstn> <qstnLit> Y3b IF R HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that you have earned? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0-12, 98,99 in Y3 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bachelor's degree </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Master's degree </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> LLB, JD </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> MD, DDS, DVM, MVSA, DSC, DO </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> JSC, STD, THD </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Associate degree (AA) </txt> </catgry> <catgry> <catValu> 96 </catValu> <txt level="category"> No degree earned </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960610" ID="v960610" format="char" dcml="0"> <location cardNo="1" StartPos="939" width="1"/> <labl level="variable"> Pre. Summary of R's education </labl> <qstn> <qstnLit> Y3x SUMMARY - R'S EDUCATION ------------------------------------------------------------------- Built from Y3, Y3a, Y3b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> 8 grades or less and no diploma or equivalency (0-8 in Y3, 5 in Y3a) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) (9-12 in Y3, 5 in Y3a) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> High school diploma or equivalency test (0-12 in Y3, 1 in Y3a) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> More than 12 years of schooling, no higher degree (13-17 in Y3, 96 in Y3b) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Junior or community college level degree (AA degrees) (13-17 in Y3, 7 in Y3b) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> BA level degrees; 17+ years, no postgraduate degree (13-17 in Y3, 1 in Y3b) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Advanced degree, including LLB (13-17 in Y3, 2-6 in Y3b) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (98 in Y3, 8 in Y3a; 98 in Y3b) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99 in Y3; 9 in Y3a; 99 in Y3b) </txt> </catgry> </catgryGrp> </var> <var name="v960611" ID="v960611" format="char" dcml="0"> <location cardNo="1" StartPos="940" width="2"/> <labl level="variable"> Pre. Highest grade R's spouse has completed </labl> <qstn> <qstnLit> Y5 IF R IS MARRIED OR PARTNERED: What is the highest grade of school or year of college (your husband/your wife/your partner) has completed? ------------------------------------------------------------------- Grade 0-16 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="98"/> </invalrng> <catgryGrp> <catgry> <catValu> 17 </catValu> <txt level="category"> 17 years or more </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> Inap, 2-5,9 in Y2; NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960612" ID="v960612" format="char" dcml="0"> <location cardNo="1" StartPos="942" width="1"/> <labl level="variable"> Pre. Has R's spouse earned a high sch diploma earned/pass the GED </labl> <qstn> <qstnLit> Y5a IF SPOUSE/PARTNER HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did (he/she) get a high school diploma or pass a high school equivalency test? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2-5,9 in Y2; 13-17, 98,99 in Y5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960613" ID="v960613" format="char" dcml="0"> <location cardNo="1" StartPos="943" width="2"/> <labl level="variable"> Pre. Highest degree R's spouse has earned </labl> <qstn> <qstnLit> Y5b IF SPOUSE/PARTNER HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that(he/she) has earned? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 2-5,9 in Y2; 0-12, 98, 99 in Y5 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bachelor's degree </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Master's degree </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> LLB, JD </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> MD, DDS, DVM, MVSA, DSC, DO </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> JSC, STD, THD </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Associate degree (AA) </txt> </catgry> <catgry> <catValu> 96 </catValu> <txt level="category"> No degree earned </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960614" ID="v960614" format="char" dcml="0"> <location cardNo="1" StartPos="945" width="1"/> <labl level="variable"> Pre. Summary of R's spouse's education </labl> <qstn> <qstnLit> Y5x SUMMARY - SPOUSE/PARTNER'S EDUCATION ------------------------------------------------------------------- Built from Y5, Y5a, Y5b. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2-5,9 in Y2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 8 grades or less and no diploma or equivalency (0-8 in Y5, 5 in Y5a) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) (9-12 in Y5, 5 in Y5a) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> High school diploma or equivalency test (0-12 in Y5, 1 in Y5a) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> More than 12 years of schooling, no higher degree (13-17 in Y5, 96 in Y5b) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Junior or community college level degree (AA degrees) (13-17 in Y5, 7 in Y5b) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> BA level degrees; 17+ years, no postgraduate degree (13-17 in Y5, 1 in Y5b) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Advanced degree, including LLB (13-17 in Y5, 2-6 in Y5b) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (98 in Y5; 8 in Y5a; 98 in Y5b) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99 in Y5; 9 in Y5a; 98 in Y5b) </txt> </catgry> </catgryGrp> </var> <var name="v960615" ID="v960615" format="char" dcml="0"> <location cardNo="1" StartPos="946" width="2"/> <labl level="variable"> Pre. R's employment status </labl> <qstn> <qstnLit> Y6 Please look at page 20 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) R EMPLOYMENT STATUS SUMMARY ------------------------------------------------------------------- Built from Y6 and Y7e, Y12g, Y14g, Y15. Questions about R's employment (past and/or current) in the Y employment section applied to status in Y6 as follows. Y7 series (current employment) - 10,15,16,17,18,20,51,61,71,81 Y11,Y11a, and Y12 series (past employment) - 15,50,51 Y13 and Y14 series (past employment) - 16,60,61 Y15,Y15a, and Y16 series (past employment in recent 6 months) - 17,18,70,71,75,80,81 Y9 and Y10 series (past employment) - 40 </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry> <catValu> 10 </catValu> <txt level="category"> WORKING NOW only </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> WORKING NOW and retired (R volunteers), currently working 20 or more hours per week </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> WORKING NOW and permanently disabled, currently working 20 hours or more a week </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> WORKING NOW and homemaker (R volunteers), currently working 20 hours or more a week </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> WORKING NOW and student (R volunteers), currently working 20 hours or more a week </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> TEMPORARILY LAID OFF </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> UNEMPLOYED </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> RETIRED, no other occupation </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> RETIRED and working now (R volunteers), currently working fewer than 20 hours a week </txt> </catgry> <catgry> <catValu> 60 </catValu> <txt level="category"> PERMANENTLY DISABLED, not working </txt> </catgry> <catgry> <catValu> 61 </catValu> <txt level="category"> PERMANENTLY DISABLED and working now, currently working fewer than 20 hours a week </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> HOMEMAKER, no other occupation </txt> </catgry> <catgry> <catValu> 71 </catValu> <txt level="category"> HOMEMAKER and working now (R volunteers), currently working fewer than 20 hours a week </txt> </catgry> <catgry> <catValu> 75 </catValu> <txt level="category"> HOMEMAKER and student (R volunteers), no other occupation </txt> </catgry> <catgry> <catValu> 80 </catValu> <txt level="category"> STUDENT, no other occupation </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> STUDENT and working now (R volunteers), currently working fewer than 20 hours a week </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960616" ID="v960616" format="char" dcml="0"> <location cardNo="1" StartPos="948" width="1"/> <labl level="variable"> Pre. R's employment status (collapsed) </labl> <qstn> <qstnLit> Y6x Please look at page 20 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SUMMARY - R EMPLOYMENT STATUS ------------------------------------------------------------------- Built from Y6. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> R WORKING NOW, (working now only or working 20 hours or more per week if also retired, permanently disabled, homemaker or student) (10, 15-18 in Y6) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> R TEMPORARILY LAID OFF (20 in Y6) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> R UNEMPLOYED (40 in Y6) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> R RETIRED, not working or working fewer than 20 hours per week (50, 51 in Y6) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> R PERMANENTLY DISABLED, not working or working fewer than 20 hours per week (60,61 in Y6) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> R HOMEMAKER, not working or working fewer than 20 hours per week (also nonworking Rs who are both student and homemaker) (70,71,75 in Y6) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> R STUDENT, not working or working fewer than 20 hours per week (80,81 in Y6) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960617" ID="v960617" format="char" dcml="0"> <location cardNo="1" StartPos="949" width="1"/> <labl level="variable"> Pre. (Unemployed) Has R ever worked for pay </labl> <qstn> <qstnLit> Y9 IF R IS UNEMPLOYED: Have you ever done any work for pay? ------------------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960618" ID="v960618" format="char" dcml="0"> <location cardNo="1" StartPos="950" width="2"/> <labl level="variable"> Pre. (Unemployed) Past occupation code </labl> <qstn> <qstnLit> Y10/Y10a IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? ------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50,51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960619" ID="v960619" format="char" dcml="0"> <location cardNo="1" StartPos="952" width="2"/> <labl level="variable"> Pre. (Unemployed) Collapsed past occupation code </labl> <qstn> <qstnLit> Y10x(1) IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: CENSUS OCCUPATION, COLLAPSED ------------------------------------------------------------------- The stacked version of this question is at RC2, at end of R employment section. Built from Y10, Y10a. 1980 Census major group categories, collapsed from full categories in Y10/Y10a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision Production, Craft and Repair Occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of Armed Forces (Census category 900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960620" ID="v960620" format="char" dcml="0"> <location cardNo="1" StartPos="954" width="1"/> <labl level="variable"> Pre. (Unemployed) Past occupation prestige score </labl> <qstn> <qstnLit> Y10x(2) IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: OCCUPATION PRESTIGE SCORE ------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9; 98, 99 in Y10/Y10a </txt> </catgry> </catgryGrp> </var> <var name="v960621" ID="v960621" format="char" dcml="0"> <location cardNo="1" StartPos="955" width="3"/> <labl level="variable"> Pre. (Unemployed) Past business/industry code </labl> <qstn> <qstnLit> Y10b IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? ------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960622" ID="v960622" format="char" dcml="0"> <location cardNo="1" StartPos="958" width="1"/> <labl level="variable"> Pre. (Unemployed) Was R self-employed </labl> <qstn> <qstnLit> Y10c IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Someone else </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Both someone else and self </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Self employed </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960623" ID="v960623" format="char" dcml="0"> <location cardNo="1" StartPos="959" width="1"/> <labl level="variable"> Pre. (Unemployed) Did R work for the government </labl> <qstn> <qstnLit> Y10d IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9; 3,8,9 in Y10c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960624" ID="v960624" format="char" dcml="0"> <location cardNo="1" StartPos="960" width="1"/> <labl level="variable"> Pre. (Unemployed) Has R worked for pay in the last six months </labl> <qstn> <qstnLit> Y10e IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? ------------------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960625" ID="v960625" format="char" dcml="0"> <location cardNo="1" StartPos="961" width="2"/> <labl level="variable"> Pre. (Unemployed) Hours per week R worked </labl> <qstn> <qstnLit> Y10f IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED FOR PAY IN THE LAST 6 MONTHS: About how many hours did you work on your job in the average week? ------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y10e </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 or more hours </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> Na </txt> </catgry> </catgryGrp> </var> <var name="v960626" ID="v960626" format="char" dcml="0"> <location cardNo="1" StartPos="963" width="1"/> <labl level="variable"> Pre. (Unemployed) Is R looking for work </labl> <qstn> <qstnLit> Y10g IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Are you looking for work at the present time? ------------------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960627" ID="v960627" format="char" dcml="0"> <location cardNo="1" StartPos="964" width="1"/> <labl level="variable"> Pre. (Unemployed) How worried is R about finding work </labl> <qstn> <qstnLit> Y10h IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960628" ID="v960628" format="char" dcml="0"> <location cardNo="1" StartPos="965" width="2"/> <labl level="variable"> Pre. (Retired) Month of retirement </labl> <qstn> <qstnLit> Y11 IF R IS RETIRED: When did you retire? (MONTH) ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> January </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> February </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> March </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> April </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> May </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> June </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> July </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> August </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> September </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> October </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> November </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960629" ID="v960629" format="char" dcml="0"> <location cardNo="1" StartPos="967" width="4"/> <labl level="variable"> Pre. (Retired) Year of retirement </labl> <qstn> <qstnLit> Y11a IF R IS RETIRED: When did you retire? (YEAR) ------------------------------------------------------------------- 4-digit year of retirement, And: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960630" ID="v960630" format="char" dcml="0"> <location cardNo="1" StartPos="971" width="2"/> <labl level="variable"> Pre. (Retired) Past occupation code </labl> <qstn> <qstnLit> Y12/Y12a IF R IS RETIRED: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? ------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960631" ID="v960631" format="char" dcml="0"> <location cardNo="1" StartPos="973" width="2"/> <labl level="variable"> Pre. (Retired) Collapsed past occupation code </labl> <qstn> <qstnLit> Y12ax(1) IF R IS RETIRED: CENSUS OCCUPATION COLLAPSED ------------------------------------------------------------------- Built from Y12, Y12a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categoris in Y12/Y12a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision Production, Craft and Repair Occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of Armed Forces (Census category 900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960632" ID="v960632" format="char" dcml="0"> <location cardNo="1" StartPos="975" width="1"/> <labl level="variable"> Pre. (Retired) Past occupation prestige score </labl> <qstn> <qstnLit> Y12ax(2) IF R IS RETIRED: OCCUPATION PRESTIGE SCORE ------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 98, 99 in Y12/Y12a </txt> </catgry> </catgryGrp> </var> <var name="v960633" ID="v960633" format="char" dcml="0"> <location cardNo="1" StartPos="976" width="3"/> <labl level="variable"> Pre. (Retired) Past business/industry code </labl> <qstn> <qstnLit> Y12b IF R IS RETIRED: What kind of (business/industry) was that? ------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960634" ID="v960634" format="char" dcml="0"> <location cardNo="1" StartPos="979" width="1"/> <labl level="variable"> Pre. (Retired) Was R self-employed </labl> <qstn> <qstnLit> Y12c IF R IS RETIRED: Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Someone else </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Both someone else and self </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Self employed only </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960635" ID="v960635" format="char" dcml="0"> <location cardNo="1" StartPos="980" width="1"/> <labl level="variable"> Pre. (Retired) Did R work for the government </labl> <qstn> <qstnLit> Y12d IF R IS RETIRED: IF R DID NOT WORK EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 3,8,9 in Y12c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960636" ID="v960636" format="char" dcml="0"> <location cardNo="1" StartPos="981" width="1"/> <labl level="variable"> Pre. (Retired) Has R worked for pay in the last six months </labl> <qstn> <qstnLit> Y12e IF R IS RETIRED: Have you had a job in the last SIX months? ------------------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960637" ID="v960637" format="char" dcml="0"> <location cardNo="1" StartPos="982" width="2"/> <labl level="variable"> Pre. (Retired) Hours per week R worked </labl> <qstn> <qstnLit> Y12f IF R IS RETIRED: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? ------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours worked, 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y12e </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 or more hours </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960638" ID="v960638" format="char" dcml="0"> <location cardNo="1" StartPos="984" width="1"/> <labl level="variable"> Pre. (Retired) Is R currently working for pay </labl> <qstn> <qstnLit> Y12g IF R IS RETIRED: Are you doing any work for pay at the present time? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960639" ID="v960639" format="char" dcml="0"> <location cardNo="1" StartPos="985" width="1"/> <labl level="variable"> Pre. (Retired) Is R looking for work </labl> <qstn> <qstnLit> Y12h IF R IS RETIRED: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: Are you looking for work at the present time? ------------------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960640" ID="v960640" format="char" dcml="0"> <location cardNo="1" StartPos="986" width="1"/> <labl level="variable"> Pre. (Retired) How worried is R about finding work </labl> <qstn> <qstnLit> Y12j IF R IS RETIRED: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960641" ID="v960641" format="char" dcml="0"> <location cardNo="1" StartPos="987" width="1"/> <labl level="variable"> Pre. (Disabled) Has R ever worked for pay </labl> <qstn> <qstnLit> Y13 IF R IS DISABLED: Have you ever done any work for pay? ------------------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960642" ID="v960642" format="char" dcml="0"> <location cardNo="1" StartPos="988" width="2"/> <labl level="variable"> Pre. (Disabled) Past occupation code </labl> <qstn> <qstnLit> Y14/Y14a IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? ------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960643" ID="v960643" format="char" dcml="0"> <location cardNo="1" StartPos="990" width="2"/> <labl level="variable"> Pre. (Disabled) Collapsed past occupation code </labl> <qstn> <qstnLit> Y14ax(1) IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: R DISABLED - PAST OCCUPATION COLLAPSED ------------------------------------------------------------------- Built from Y14, Y14a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categories in Y14/Y14a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision Production, Craft and Repair Occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of Armed Forces (Census category 900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960644" ID="v960644" format="char" dcml="0"> <location cardNo="1" StartPos="992" width="1"/> <labl level="variable"> Pre. (Disabled) Past occupation prestige score </labl> <qstn> <qstnLit> Y14ax(2) IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: R DISABLED - PAST OCCUPATION PRESTIGE SCORE ------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 98, 99 in Y14/Y14a </txt> </catgry> </catgryGrp> </var> <var name="v960645" ID="v960645" format="char" dcml="0"> <location cardNo="1" StartPos="993" width="3"/> <labl level="variable"> Pre. (Disabled) Past business/industry code </labl> <qstn> <qstnLit> Y14b IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? ------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960646" ID="v960646" format="char" dcml="0"> <location cardNo="1" StartPos="996" width="1"/> <labl level="variable"> Pre. (Disabled) Was R self-employed </labl> <qstn> <qstnLit> Y14c IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Someone else </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Both someone else and self </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Self-employed </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960647" ID="v960647" format="char" dcml="0"> <location cardNo="1" StartPos="997" width="1"/> <labl level="variable"> Pre. (Disabled) Did R work for the government </labl> <qstn> <qstnLit> Y14d IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 3,8,9 in Y14c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960648" ID="v960648" format="char" dcml="0"> <location cardNo="1" StartPos="998" width="1"/> <labl level="variable"> Pre. (Disabled) Has R worked for pay in the last six months </labl> <qstn> <qstnLit> Y14e IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? ------------------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960649" ID="v960649" format="char" dcml="0"> <location cardNo="1" StartPos="999" width="2"/> <labl level="variable"> Pre. (Disabled) Hours per week R worked </labl> <qstn> <qstnLit> Y14f IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: About how many hours did you work on your job in the average week? ------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 hours or more </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960650" ID="v960650" format="char" dcml="0"> <location cardNo="1" StartPos="1001" width="1"/> <labl level="variable"> Pre. (Disabled) Is R currently working for pay </labl> <qstn> <qstnLit> Y14g IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: Are you doing any work for pay at the present time? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960651" ID="v960651" format="char" dcml="0"> <location cardNo="1" StartPos="1002" width="1"/> <labl level="variable"> Pre. (Disabled) Is R looking for work </labl> <qstn> <qstnLit> Y14h IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R IS NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? ------------------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960652" ID="v960652" format="char" dcml="0"> <location cardNo="1" StartPos="1003" width="1"/> <labl level="variable"> Pre. (Disabled) How worried is R about finding work </labl> <qstn> <qstnLit> Y14j IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R IS NOT CURRENTLY WORKING : How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960653" ID="v960653" format="char" dcml="0"> <location cardNo="1" StartPos="1004" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) Is R currently working for pay </labl> <qstn> <qstnLit> Y15 IF R IS HOMEMAKER/STUDENT: Are you doing ANY work for pay at the present time? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960654" ID="v960654" format="char" dcml="0"> <location cardNo="1" StartPos="1005" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) Has R worked for pay in the last 6 mos </labl> <qstn> <qstnLit> Y15a IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: In the last six months, did you do any work for pay? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960655" ID="v960655" format="char" dcml="0"> <location cardNo="1" StartPos="1006" width="2"/> <labl level="variable"> Pre. (Homemaker/Student) Past occupation code </labl> <qstn> <qstnLit> Y16/Y16a IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? ------------------------------------------------------------------- The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960656" ID="v960656" format="char" dcml="0"> <location cardNo="1" StartPos="1008" width="2"/> <labl level="variable"> Pre. (Homemaker/Student) Collapsed past occupation code </labl> <qstn> <qstnLit> Y16ax(1) IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: CENSUS OCCUPATION, COLLAPSED ------------------------------------------------------------------- Built from Y14, Y14a. 1980 Census major group categories, collapsed from Y16/Y16a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision, production, craft and repair occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of Armed Forces (Census category 900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960657" ID="v960657" format="char" dcml="0"> <location cardNo="1" StartPos="1010" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) Past occupation prestige score </labl> <qstn> <qstnLit> Y16ax(2) IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: OCCUPATION PRESTIGE SCORE ------------------------------------------------------------------- Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a; 98, 99 in Y16/Y16a </txt> </catgry> </catgryGrp> </var> <var name="v960658" ID="v960658" format="char" dcml="0"> <location cardNo="1" StartPos="1011" width="3"/> <labl level="variable"> Pre. (Homemaker/Student) Past business/industry code </labl> <qstn> <qstnLit> Y16b IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: What kind of (business/industry) was that? ------------------------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960659" ID="v960659" format="char" dcml="0"> <location cardNo="1" StartPos="1014" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) Was R self-employed </labl> <qstn> <qstnLit> Y16c IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Did you work for someone else, were you self-employed, or what? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Someone else </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Both someone else and self </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Self-employed </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960660" ID="v960660" format="char" dcml="0"> <location cardNo="1" StartPos="1015" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) Did R work for the government </labl> <qstn> <qstnLit> Y16d IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a; 3,8,9 in Y16c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960661" ID="v960661" format="char" dcml="0"> <location cardNo="1" StartPos="1016" width="2"/> <labl level="variable"> Pre. (Homemaker/Student) Hours per week R worked </labl> <qstn> <qstnLit> Y16f IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? ------------------------------------------------------------------- Number of hours worked 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 hours or more </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960662" ID="v960662" format="char" dcml="0"> <location cardNo="1" StartPos="1018" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) Is R looking for work </labl> <qstn> <qstnLit> Y16h IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960663" ID="v960663" format="char" dcml="0"> <location cardNo="1" StartPos="1019" width="1"/> <labl level="variable"> Pre. (Homemaker/Student) How worried is R about finding work </labl> <qstn> <qstnLit> Y16j IF R IS HOMEMAKER/STUDENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960664" ID="v960664" format="char" dcml="0"> <location cardNo="1" StartPos="1020" width="2"/> <labl level="variable"> Pre. (Working now) Occupation code </labl> <qstn> <qstnLit> Y7/Y7a IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? ------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960665" ID="v960665" format="char" dcml="0"> <location cardNo="1" StartPos="1022" width="2"/> <labl level="variable"> Pre. (Working now) Collapsed occupation code </labl> <qstn> <qstnLit> Y7ax(1) IF R IS WORKING NOW/ TEMPORARILY LAID OFF: CURRENT CENSUS OCCUPATION, COLLAPSED ------------------------------------------------------------------- Built from Y7, Y7a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categories in Y7,Y7a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision production, craft and repair occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of Armed Forces (Census category 900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960666" ID="v960666" format="char" dcml="0"> <location cardNo="1" StartPos="1024" width="1"/> <labl level="variable"> Pre. (Working now) Occupation prestige score </labl> <qstn> <qstnLit> Y7ax(2) IF R IS WORKING NOW/ TEMPORARILY LAID OFF: CURRENT OCCUPATION PRESTIGE SCORE ------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6; 98, 99 in Y7/Y7a </txt> </catgry> </catgryGrp> </var> <var name="v960667" ID="v960667" format="char" dcml="0"> <location cardNo="1" StartPos="1025" width="3"/> <labl level="variable"> Pre. (Working now) Business/industry code </labl> <qstn> <qstnLit> Y7b IF R IS WORKING NOW/ TEMPORARILY LAID OFF: What kind of (business/industry) is that? ------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960668" ID="v960668" format="char" dcml="0"> <location cardNo="1" StartPos="1028" width="1"/> <labl level="variable"> Pre. (Working now) Is R self-employed </labl> <qstn> <qstnLit> Y7c IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Do you work for someone else, are you self-employed, or what? ------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Someone else </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Both someone else and self </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Self employed </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960669" ID="v960669" format="char" dcml="0"> <location cardNo="1" StartPos="1029" width="1"/> <labl level="variable"> Pre. (Working now) Does R work for the government </labl> <qstn> <qstnLit> Y7d IF R IS WORKING NOW/ TEMPORARILY LAID OFF: IF R DOES NOT WORK EXCLUSIVELY FOR SELF: Are you employed by a federal, state or local government? ------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6; 3,8,9 in Y7c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960670" ID="v960670" format="char" dcml="0"> <location cardNo="1" StartPos="1030" width="2"/> <labl level="variable"> Pre. (Working now) Hours per week R works </labl> <qstn> <qstnLit> Y7e IF R IS WORKING NOW/ TEMPORARILY LAID OFF: About how many hours do you work on your job in the average week? ------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Codes 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 hours or more </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960671" ID="v960671" format="char" dcml="0"> <location cardNo="1" StartPos="1032" width="1"/> <labl level="variable"> Pre. (Working now) Is R satisfied with num hrs R works per week </labl> <qstn> <qstnLit> Y7f IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Is that MORE hours than you want to work, FEWER hours than you want to work, or generally ABOUT RIGHT? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6; 98,99 in Y7e </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> More </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fewer </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> About right </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960672" ID="v960672" format="char" dcml="0"> <location cardNo="1" StartPos="1033" width="1"/> <labl level="variable"> Pre. (Working now) How worried is R about losing job </labl> <qstn> <qstnLit> Y7g IF R IS WORKING NOW/ TEMPORARILY LAID OFF: How worried are you about losing your job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960673" ID="v960673" format="char" dcml="0"> <location cardNo="1" StartPos="1034" width="1"/> <labl level="variable"> Pre. (Working now) Was R out of work in the last six months </labl> <qstn> <qstnLit> Y7h IF R IS WORKING NOW, NOT TEMPORARILY LAID OFF: Were you out of work or laid off at any time during the last six months? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960674" ID="v960674" format="char" dcml="0"> <location cardNo="1" StartPos="1035" width="1"/> <labl level="variable"> Pre. (Working now) Did R have reduction in wrk hrs in last 6 mos </labl> <qstn> <qstnLit> Y7j IF R IS WORKING NOW, NOT TEMPORARILY LAID OFF: During the last six months, have you had a reduction in your work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960675" ID="v960675" format="char" dcml="0"> <location cardNo="1" StartPos="1036" width="2"/> <labl level="variable"> Pre. Stacked -- R occupation code </labl> <qstn> <qstnLit> RC1 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R CENSUS OCCUPATION CODE ------------------------------------------------------------------- Built from Y7/Y7a, Y10/Y10a, Y12/Y12a, Y14/Y14a. This variable combines employment data for all Rs who are currently: - Employed or temporarily laid off [current employment in Y7/Y7a], - Unemployed [past employment in Y10/Y10a], - Retired [past employment in Y12/Y12a, whether R is currently working or not], - Permanently disabled, not working [past employment in Y14/Y14a]. Note that homemakers or students without current outside employment are coded 00 [Y16/Y16a data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7/Y7a coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. The original 3-digit 1980 US Census Occupation variable has been recoded nto 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960676" ID="v960676" format="char" dcml="0"> <location cardNo="1" StartPos="1038" width="2"/> <labl level="variable"> Pre. Stacked -- R collapsed occupation code </labl> <qstn> <qstnLit> RC2 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R COLLAPSED CENSUS OCCUPATION CODE ------------------------------------------------------------------- This variable combines employment data for all Rs who are currently: - Employed or temporarily laid off [current employment in Y7ax(1)], - Unemployed [past employment in Y10ax(1)], - Retired [past employment in Y12ax(1), whether R is currently working or not], - Permanently disabled and not working [past employment in Y14ax(1)]. Note that homemakers or students without current outside employment are coded 00 [Y16ax(1) data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7ax(1) coded here. Retirees who are also currently working have past occupation from Y12ax(1) coded here rather than current occupation in Y7ax(1). 1980 Census Major Group categories, collapsed from full categories. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision production, craft and repair occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of armed forces (900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960677" ID="v960677" format="char" dcml="0"> <location cardNo="1" StartPos="1040" width="1"/> <labl level="variable"> Pre. Stacked -- R occupation prestige score </labl> <qstn> <qstnLit> RC3 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R PRESTIGE SCORE ------------------------------------------------------------------- Built from Y7ax(2), Y10ax(2), Y12ax(2), Y14ax(2). This variable combines employment data for all Rs who are currently: - Employed or temporarily laid off [current employment in Y7ax(2)], - Unemployed [past employment in Y10ax(2)], - Retired [past employment in Y12ax(2), whether R is currently working or not], - Permanently disabled and not working [past employment in Y14ax(2)]. Note that homemakers or students without current outside employment are coded 0 [Y16ax(2) data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7ax(2) coded here. Retirees who are also currently working have past occupation from Y12ax(2) coded here rather than current occupation in Y7ax(2). NOTE: Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James a Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it s possible to gain access to the data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 98,99 in Y7/Y7a, Y10/Y10a, Y12/Y12a, or Y14/Y14a </txt> </catgry> </catgryGrp> </var> <var name="v960678" ID="v960678" format="char" dcml="0"> <location cardNo="1" StartPos="1041" width="3"/> <labl level="variable"> Pre. Stacked -- R business/industry code </labl> <qstn> <qstnLit> RC4 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What do/did they make or do where you work/ed? What kind of a business or industsry is/was that? STACKED- R CENSUS INDUSTRY CODE ------------------------------------------------------------------- Built from Y7b, Y10b, Y12b, Y14b. This variable combines industry data for all Rs who are currently: - Employed or temporarily laid off [current industry in Y7b], - Unemployed [past industry in Y10b], - Retired [past industry in Y12b, whether R is currently working or not], - Permanently disabled and not working [past industry in Y14b]. Note that homemakers or students without current outside employment are oded 000 [Y16b data are NOT used]. The disabled and homemakers or students ho are also currently working have industry data for their current occupation from Y7b coded here. Retirees who are also currently working have industry data for past occupation from Y12b coded here rather than for current occupation in Y7b. See CENSUS INDUSTRY Master Code. Codes 010-990 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960679" ID="v960679" format="char" dcml="0"> <location cardNo="1" StartPos="1044" width="1"/> <labl level="variable"> Pre. Stacked -- is R self-employed </labl> <qstn> <qstnLit> RC5 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / Do/did you work for someone else, are/were you self-employed, or what? STACKED- R SELF EMPLOYED ------------------------------------------------------------------- Built from Y7c, Y10c, Y12c, Y14c. This variable combines data for all Rs who are currently: - Employed or temporarily laid off [current employment in Y7c], - Unemployed [past employment in Y10c], - Retired [past employment in Y12c, whether R is currently working or ot], - Permanently disabled and not working [past employment in Y14c]. Note that homemakers or students without current outside employment are oded 0 [Y16c data are NOT used]. The disabled and homemakers or students who re also currently working have data for their current occupation from Y7c oded here. Retirees who are also currently working have data for past ocupation from Y12c coded here rather than for current occupation in Y7c. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Someone else </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Both someone else and self </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Self-employed </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960680" ID="v960680" format="char" dcml="0"> <location cardNo="1" StartPos="1045" width="1"/> <labl level="variable"> Pre. Stacked -- does R work for the government </labl> <qstn> <qstnLit> RC6 IF R WORKS/WORKED NOT EXCLUSIVELY FOR SELF and: R IS WORKING NOW OR TLO/ : R IS RETIRED: / R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / R IS DISABLED AND HAS EVER WORKED FOR PAY: / Are/were you employed by a federal, state or local government? STACKED- R EMPLOYED BY GOVERNMENT ------------------------------------------------------------------- Built from Y7d, Y10d, Y12d, Y14d. This variable combines data for all Rs who are currently: - Employed or temporarily laid off [current employment in Y7d], - Unemployed [past employment in Y10d], - Retired [past employment in Y12d, whether R is currently working or not], - Permanently disabled and not working [past employment in Y14d]. Note that homemakers or students without current outside employment are coded 0 [Y16d data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7d coded here. Retirees who are also currently working have data for past occupation from Y12d coded here rather than for current occupation in Y7d. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y7c, Y10c, Y12c or Y14c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960681" ID="v960681" format="char" dcml="0"> <location cardNo="1" StartPos="1046" width="2"/> <labl level="variable"> Pre. Stacked -- hours per week R worked </labl> <qstn> <qstnLit> RC7 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS UNEMPLOYED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS DISABLED BUT HAS WORKED IN PAST 6 MONTHS: / About how many hours do/did you work on your job in the average week? STACKED- HOURS R WORKS/WORKED PER WEEK ------------------------------------------------------------------- Built from Y7e, Y10f, Y12f, Y14f. This variable combines data for all Rs who have worked within the past six months and who are currently: - Employed or temporarily laid off [present employment in Y7e], - Unemployed [employment within past 6 months in Y10f], - Retired [employment within past 6 months in Y12f], - Permanently disabled [employment within past 6 months in Y14f]. Note that homemakers or students without current outside employment are coded 00 [Y16f data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7e coded here. For retirees, since data for number of hours worked describes recent employment within past 6 months, this may in effect describe pre-retirement employment (e.g. very recent retirees), current employment (e.g. working retirees continuing a post-retirement job), or employment that is neither pre-retirement nor a current job. Number of hours worked, 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 5,8,9 in Y10e, Y12e or Y14e </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> 97 or more hours </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960682" ID="v960682" format="char" dcml="0"> <location cardNo="1" StartPos="1048" width="1"/> <labl level="variable"> Pre. Stacked -- how worried is R about finding/losing job </labl> <qstn> <qstnLit> RC8 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED: / IF R IS DISABLED AND NOT CURRENTLY WORKING: / How worried are you about losing your job/ not being able to find a job in the near future: a lot, somewhat, or not much at all? STACKED- R WORRIED ABOUT FINDING/LOSING JOB ------------------------------------------------------------------- Built from Y7g, Y10h, Y12j, Y14j. This variable combines data for all Rs who are currently: - Employed or temporarily laid off [Y7g], (including working retired and working disabled) - Unemployed [Y10h], - Retired and not working [Y12j], - Permanently disabled and not working [Y14j]. Note that homemakers or students without current outside employment are coded 0 [Y16j data are NOT used]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A lot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Somewhat </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not much at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960683" ID="v960683" format="char" dcml="0"> <location cardNo="1" StartPos="1049" width="1"/> <labl level="variable"> Pre. Stacked -- has R worked for pay in the last six months </labl> <qstn> <qstnLit> RC9 IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: Have you had a job in the past 6 months? STACKED- HAS R HAD JOB IN LAST 6 MONTHS ------------------------------------------------------------------- Built from Y10e, Y12e, Y14e. This variable combines data for all Rs who are currently: - Unemployed [Y10e], - Retired [Y12e], - Permanently disabled, if R has ever worked [Y14e] </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 17, 18, 20, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 or Y13 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960684" ID="v960684" format="char" dcml="0"> <location cardNo="1" StartPos="1050" width="1"/> <labl level="variable"> Pre. Stacked -- is R looking for work </labl> <qstn> <qstnLit> RC10 IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED, HAS EVER WORKED FOR PAY, IS NOT CURRENTLY WORKING: Are you looking for work at the present time? STACKED- IS R LOOKING FOR WORK ------------------------------------------------------------------- Built from Y10g, Y12h, Y14h. This variable combines data for all Rs who are currently: - Unemployed [Y10g], - Retired, if R is not currently working [Y12h], - Permanently disabled, if R has ever worked but is not currently working [Y14h]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 17, 18, 20, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 or Y13; 1 in Y12g; 1 in Y14g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960685" ID="v960685" format="char" dcml="0"> <location cardNo="1" StartPos="1051" width="1"/> <labl level="variable"> Pre. Stacked -- has R ever worked for pay </labl> <qstn> <qstnLit> RC11 IF R IS UNEMPLOYED: / IF R IS DISABLED: STACKED- HAS R EVER WORKED FOR PAY ------------------------------------------------------------------- Built from Y9 and Y13. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 10, 15, 17, 18, 20, 50, 51, 70, 71, 75, 80, 81, 99 in Y6 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960686" ID="v960686" format="char" dcml="0"> <location cardNo="1" StartPos="1052" width="2"/> <labl level="variable"> Pre. R's spouse's employment status </labl> <qstn> <qstnLit> Y17(1) IF R IS MARRIED OR PARTNERED: Please turn to page 20 of the booklet. We'd like to know about your (husband/wife/partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SPOUSE/ PARTNER EMPLOYMENT STATUS SUMMARY ------------------------------------------------------------------- Built from Y17(1) and Y17c. The spouse employment status summary variables differ somewhat from previous years because number of hours of current employment was not consistently obtained (categories 15,16,17,18 here contain data formerly coded 15 and 51, 16 and 61, 17 and 71, 18 and 81). Y section questions apply to spouses/partners as follows: Y17a - 16, 40, 60 Y17b, Y7b(1) - 15, 50 Y17c, Y17d - 17, 18, 70, 75, 80 Y17e/f(1),Y17fx(1a), Y17fx(2a), Y17g(1), Y17h(1) - 10, 15, 16, 17, 18, 20, 40 (if ever worked), 50, 60 (if ever worked) Y17e/f(2), Y17fx(1b), Y17fx(2b), Y17g(2), Y17h(2) - 70/75/80 (if worked in past 6 months) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2 </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> WORKING NOW only </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> WORKING NOW and retired (any number of hours) </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> WORKING NOW and permanently disabled (any number of hours) </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> WORKING NOW and homemaker (any number of hours) </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> WORKING NOW and student (any number of hours) </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> TEMPORARILY LAID OFF </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> UNEMPLOYED </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> RETIRED, not working </txt> </catgry> <catgry> <catValu> 60 </catValu> <txt level="category"> PERMANENTLY DISABLED, not working </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> HOMEMAKER, not working </txt> </catgry> <catgry> <catValu> 75 </catValu> <txt level="category"> HOMEMAKER and student (R volunteers), not working </txt> </catgry> <catgry> <catValu> 80 </catValu> <txt level="category"> STUDENT, not working </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960687" ID="v960687" format="char" dcml="0"> <location cardNo="1" StartPos="1054" width="1"/> <labl level="variable"> Pre. R spouse employment status (collapsed) </labl> <qstn> <qstnLit> Y17(2) IF R IS MARRIED OR PARTNERED: Please turn to page 20 of the booklet. We'd like to know about your (husband/wife/partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SUMMARY - SPOUSE EMPLOYMENT STATUS ------------------------------------------------------------------- Built from Y17(1). See note Y17(1). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> SPOUSE/PARTNER WORKING NOW (may also be homemaker and/or student) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> SPOUSE/PARTNER TEMPORARILY LAID OFF </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> SPOUSE/PARTNER UNEMPLOYED </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> SPOUSE/PARTNER RETIRED (may also be working) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> SPOUSE/PARTNER PERMANENTLY DISABLED (may also be working) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> SPOUSE/PARTNER HOMEMAKER, not working </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> SPOUSE/PARTNER STUDENT, not working </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960688" ID="v960688" format="char" dcml="0"> <location cardNo="1" StartPos="1055" width="1"/> <labl level="variable"> Pre. Has R's spouse ever worked for pay </labl> <qstn> <qstnLit> Y17a IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED: Has (he/she) ever done any work for pay? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 10, 15, 17, 18, 20, 50, 70, 75, 80, 99 in Y17(1) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960689" ID="v960689" format="char" dcml="0"> <location cardNo="1" StartPos="1056" width="2"/> <labl level="variable"> Pre. (Spouse retired) Month of retirement </labl> <qstn> <qstnLit> Y17b IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS RETIRED: When did (he/she) retire? MONTH </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 10, 16, 17, 18, 20, 40, 60, 70, 75, 80, 99 in Y17(1) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> January </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> February </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> March </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> April </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> May </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> June </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> July </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> August </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> September </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> October </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> November </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960690" ID="v960690" format="char" dcml="0"> <location cardNo="1" StartPos="1058" width="4"/> <labl level="variable"> Pre. (Spouse retired) Year of retirement </labl> <qstn> <qstnLit> Y17b(1) IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS RETIRED: When did (he/she) retire? YEAR ------------------------------------------------------------------- 4-digit year of retirement, and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 10, 16, 17, 18, 20, 40, 60, 70, 75, 80, 99 in Y17(1) </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960691" ID="v960691" format="char" dcml="0"> <location cardNo="1" StartPos="1062" width="1"/> <labl level="variable"> Pre. Is R's spouse currently working for pay </labl> <qstn> <qstnLit> Y17c IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS HOMEMAKER OR STUDENT: Is (he/she) doing any work for pay at the present time? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 10, 15, 16, 20, 40, 50, 60, 99 in Y17(1) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960692" ID="v960692" format="char" dcml="0"> <location cardNo="1" StartPos="1063" width="1"/> <labl level="variable"> Pre. Has R's spouse worked for pay in the last six months </labl> <qstn> <qstnLit> Y17d IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS HOMEMAKER OR STUDENT: IF SPOUSE/PARTNER IS NOT CURRENTLY WORKING FOR PAY: In the last six months, did (he/she) do any work for pay? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 10, 15, 16, 20, 40, 50, 60, 99 in Y17(1); 1,8,9 in Y17c </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960693" ID="v960693" format="char" dcml="0"> <location cardNo="1" StartPos="1064" width="2"/> <labl level="variable"> Pre. R's spouse's occupation code (1) </labl> <qstn> <qstnLit> Y17e/f(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? ------------------------------------------------------------------- Occupation code data for nonworking homemaker/ student spouses (last 6 months) are found in Y17e/f(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17e/f(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The occupation codes which would have been otherwise assigned to these cases are, respectively, 30, 22,48,71. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION Master Code. Codes 01-71 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 70,75,80,99 in Y17(1); 5,8,9 in Y17a </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960694" ID="v960694" format="char" dcml="0"> <location cardNo="1" StartPos="1066" width="2"/> <labl level="variable"> Pre. R's spouse's occupation code (collapsed) (1) </labl> <qstn> <qstnLit> Y17fx(1a) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? SPOUSE COLLAPSED CENSUS OCCUPATION CODE ------------------------------------------------------------------- 1980 Census Major group categories, collapsed from full categories in Y17e/f(1). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17fx(1b) for employment within past 6 months]. Occupation code data for nonworking homemaker/ student spouses (last 6 months) are found in Y17fx(1b) The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The occupation codes which would have been otherwise assigned to these cases are, respectively, 5,5,10,14. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 70,75,80,99 in Y17(1); 5,8,9 in Y17a </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Executive, Administrative and Managerial (Census categories 001-039) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Professional Specialty Occupations (Census categories 040-199) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Technicians and Related Support Occupations (Census categories 200-235) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Sales Occupation (Census categories 236-285) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Administrative Support, including clerical (Census categories 286-389) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Private Household (Census categories 403-407) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Protective Service (Census categories 408-427) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Service except Protective and Household (Census categories 428-469) </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Farming, Forestry and Fishing Occupations (Census categories 470-499) </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Precision production, craft and repair occupations (Census categories 500-699) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Machine Operators, Assemblers and Inspectors (Census categories 700-799) </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Transportation and Material Moving Occupations (Census categories 800-859) </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Handler, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Member of armed forces (900) </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960695" ID="v960695" format="char" dcml="0"> <location cardNo="1" StartPos="1068" width="1"/> <labl level="variable"> Pre. R's spouse's occupation prestige score (1) </labl> <qstn> <qstnLit> Y17fx(2a) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? SPOUSE OCCUPATION PRESTIGE SCORE ------------------------------------------------------------------- Prestige score data for nonworking homemaker/ student spouses (last 6 months) are found in Y17fx(2b). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17fx(2b) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded NA in this variable. NOTE: Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James a Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00000 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 70,75,80,99 in Y17(1); 5,8,9 in Y17a </txt> </catgry> </catgryGrp> </var> <var name="v960696" ID="v960696" format="char" dcml="0"> <location cardNo="1" StartPos="1069" width="3"/> <labl level="variable"> Pre. R's spouse's business/industry code (1) </labl> <qstn> <qstnLit> Y17g(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : What kind of (business/industry) (is/was) that? ------------------------------------------------------------------- Industry data for nonworking homemaker/ student spouses (last 6 months) are found in Y17g(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17g(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The industry codes which would have been otherwise assigned to these cases are, respectively, 412,441,060,932 See CENSUS INDUSTRY Master Code. Codes 010-990 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 70,75,80,99 in Y17(1); 5,8,9 in Y17a </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960697" ID="v960697" format="char" dcml="0"> <location cardNo="1" StartPos="1072" width="2"/> <labl level="variable"> Pre. R's spouse's average hours worked per week (1) </labl> <qstn> <qstnLit> Y17h(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : How many hours (does/did) (he/she) work in an average week? ------------------------------------------------------------------- Hours worked data for nonworking homemaker/ student spouses (last 6 months)are found in Y17h(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17h(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The hours which which would have been otherwise assigned to these cases are, respectively, 40,40,50,20. Number of hours worked, 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 2,3,4,5,9 in Y2; 70,75,80,99 in Y17(1); 5,8,9 in Y17a </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Ninety-seven or more hours </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960698" ID="v960698" format="char" dcml="0"> <location cardNo="1" StartPos="1074" width="1"/> <labl level="variable"> Pre. Do any of R's household members belong to a labor union </labl> <qstn> <qstnLit> Y18 Do you or anyone else in this household belong to a labor union? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960699" ID="v960699" format="char" dcml="0"> <location cardNo="1" StartPos="1075" width="2"/> <labl level="variable"> Pre. R's household members who belong to a labor union </labl> <qstn> <qstnLit> Y18a IF R OR SOMEONE IN R'S HOUSEHOLD BELONGS TO LABOR UNION: Who is it that belongs? [CHECK ALL THAT APPLY] ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in Y18 </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Respondent only </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Spouse only </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Other household member only </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> R and spouse </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R and other household member </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Spouse and other household member </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R, spouse and other household member </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> R and two or more other household members </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Spouse and two or more other household members </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960700" ID="v960700" format="char" dcml="0"> <location cardNo="1" StartPos="1077" width="1"/> <labl level="variable"> Pre. (Interviewer checkpoint) is R the only hsehold member 14+ </labl> <qstn> <qstnLit> Y19 CHECKPOINT - IS R ONLY HOUSEHOLD MEMBER AGE 14 OR OLDER? ------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> </catgryGrp> </var> <var name="v960701" ID="v960701" format="char" dcml="0"> <location cardNo="1" StartPos="1078" width="2"/> <labl level="variable"> Pre. R's family income in 1995 </labl> <qstn> <qstnLit> Y20 IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: Please look at page 21 of the booklet and tell me the letter of the income group that includes the income of all members of your family living here in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] ------------------------------------------------------------------- Rs who do not live with a family member age 14 or older were not asked this question. Their response to Y21 was duplicated in this variable. Note that in 53 cases, due to interviewer error in the Y19 checkpoint administration, the Y20 family income question was not administered although R was not the only household member aged 14 and older. These cases have been coded NA; their individual income data have not been duplicated here. Additional note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="87"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 1 in Y19 (these cases duplicated from Y20a/Y21) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A. None or less than $2,999 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> B. $3,000-$4,999 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> C. $5,000-$6,999 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> D. $7,000-$8,999 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> E. $9,000-$9,999 </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> F. $10,000-$10,999 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> G. $11,000-$11,999 </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> H. $12,000-$12,999 </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> J. $13,000-$13,999 </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> K. $14,000-$14.999 </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> M. $15,000-$16,999 </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> N. $17,000-$19,999 </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> P. $20,000-$21,999 </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Q. $22,000-$24,999 </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R. $25,000-$29,999 </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> S. $30,000-$34,999 </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> T. $35,000-$39,999 </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> U. $40,000-$44,999 </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> V. $45,000-$49,999 </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> W. $50,000-$59,999 </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> X. $60,000-$74,999 </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Z. $75,000-89,999 </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> AA. $90,000-$104,999 </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> BB. $105,000 and over </txt> </catgry> <catgry missing="Y"> <catValu> 88 </catValu> <txt level="category"> Refused </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960702" ID="v960702" format="char" dcml="0"> <location cardNo="1" StartPos="1080" width="2"/> <labl level="variable"> Pre. R's own income in 1995 </labl> <qstn> <qstnLit> Y20a/Y21 Y20a. IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: / Y21. IF R IS ONLY HOUSEHOLD MEMBER 14 OR OLDER: Y20a.(Looking at page 21 of the booklet) Now we are interested in the income that you yourself received in 1995, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] Y21. Looking at page 21 of the booklet tell me the letter of the income group that includes the income you had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ------------------------------------------------------------------- Note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="88"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> A. None or less than 2,999 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> B. $3,000-4,999 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> C. $5,000-6,999 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> D. $7,000-8,999 </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> E. $9,000-9,999 </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> F. $10,000-10,999 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> G. $11,000-11,999 </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> H. $12,000-12,999 </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> J. $13,000-13,999 </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> K. $14,000-14,999 </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> M. $15,000-15,999 </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> N. $17,000-19,999 </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> P. $20,000-21,999 </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Q. $22,000-24,999 </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R. $25,000-29,999 </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> S. $30,000-34,999 </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> T. $35,000-39,999 </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> U. $40,000-44,999 </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> V. $45,000-49,999 </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> W. $50,000-59,999 </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> X. $60,000-74,999 </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Z. $75,000-89,999 </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> AA. $90,000-104,999 </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> BB. $105,000 and over </txt> </catgry> <catgry missing="Y"> <catValu> 88 </catValu> <txt level="category"> Refused </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960703" ID="v960703" format="char" dcml="0"> <location cardNo="1" StartPos="1082" width="2"/> <labl level="variable"> Pre. R's ethnic/nationality group -- MENTION 1 </labl> <qstn> <qstnLit> Y22(1) In addition to being American, what do you consider your main ethnic group or nationality group? [MENTION 1] ------------------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> None; "just American" </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960704" ID="v960704" format="char" dcml="0"> <location cardNo="1" StartPos="1084" width="2"/> <labl level="variable"> Pre. R's ethnic/nationality group -- MENTION 2 </labl> <qstn> <qstnLit> Y22(2) In addition to being American, what do you consider your main ethnic group or nationality group? [MENTION 2] ------------------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0,98,99 in Y22(1); no further mention </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Other </txt> </catgry> </catgryGrp> </var> <var name="v960705" ID="v960705" format="char" dcml="0"> <location cardNo="1" StartPos="1086" width="1"/> <labl level="variable"> Pre. (Interviewer checkpoint) # of ethnic/national grps mentioned </labl> <qstn> <qstnLit> Y22(3) CHECKPOINT - NUMBER OF NATIONALITY GROUPS R MENTIONED ------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> ONE NATIONALITY OR ETHNIC GROUP MENTIONED </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> MORE THAN ONE NATIONALITY OR ETHNIC GROUP MENTIONED </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> NO NATIONALITY/GROUP MENTIONED </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> R REFUSED OR DK ANSWER TO NATIONALITY OR ETHNICITY (98,99 in Y22(1)) </txt> </catgry> </catgryGrp> </var> <var name="v960706" ID="v960706" format="char" dcml="0"> <location cardNo="1" StartPos="1087" width="2"/> <labl level="variable"> Pre. Ethnic/nationality group with which R most closely identifies </labl> <qstn> <qstnLit> Y22a IF R HAS IDENTIFIED WITH MORE THAN 1 NATIONALITY GROUP: With which of these groups do you most closely identify? ------------------------------------------------------------------- Rs giving only 1 mention to Y22 were not asked this question; their single response to Y22 has been duplicated in this variable. See ICPSR Nationality MASTER CODE codes 1-96 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 1,3,9 in Y22(3) </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> None, neither </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960707" ID="v960707" format="char" dcml="0"> <location cardNo="1" StartPos="1089" width="1"/> <labl level="variable"> Pre. Were both of R's parents born in the United States </labl> <qstn> <qstnLit> Y22b Were both your parents born in this country? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960708" ID="v960708" format="char" dcml="0"> <location cardNo="1" StartPos="1090" width="1"/> <labl level="variable"> Pre. Is R of Spanish/Hispanic origin or descent </labl> <qstn> <qstnLit> Y23 Are you of Spanish or Hispanic origin or descent? / [Is R of Spanish or Hispanic origin or descent?] ------------------------------------------------------------------- This question was addressed to the respondent if R did not identify a hispanic group in Y22(1) or Y22(2). If R mentioned a hispanic group in Y22(1)/Y22(2) then the interviewer coded the appropriate response. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960709" ID="v960709" format="char" dcml="0"> <location cardNo="1" StartPos="1091" width="1"/> <labl level="variable"> Pre. Category of Hispanic origin that best describes R </labl> <qstn> <qstnLit> Y23a IF R HAS MENTIONED SPANISH/ HISPANIC ETHNIC OR NATIONALITY GROUP: Please look at page 22 of the booklet and tell me which category best describes your Hispanic origin. ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in Y23 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Mexican </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Puerto Rican </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Cuban </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Latin American </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Central American </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Spanish </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) (VOL) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960710" ID="v960710" format="char" dcml="0"> <location cardNo="1" StartPos="1092" width="2"/> <labl level="variable"> Pre. R's father's occupation code </labl> <qstn> <qstnLit> Y24/Y24a Y24.What kind of work did your father (or father substitute) do for a living while you were growing up? Y24a.What was his main occupation? What were his most important activities or duties? Y24b.What kind of business or industry was that? FATHER'S OCCUPATION - CPS 2-DIGIT OCCUPATION CODE </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no father/substitute when growing up </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960711" ID="v960711" format="char" dcml="0"> <location cardNo="1" StartPos="1094" width="3"/> <labl level="variable"> Pre. Where did R grow up </labl> <qstn> <qstnLit> Y25 Where was it that you grew up? [IF UNITED STATES: Which state or state?] ------------------------------------------------------------------- See ICPSR STATE AND COUNTRY Master Code. If R grew up in more than one state or country, the place where R lived longest between ages 6 and 18 was coded. Codes 101-997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="998"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960712" ID="v960712" format="char" dcml="0"> <location cardNo="1" StartPos="1097" width="2"/> <labl level="variable"> Pre. How long has R lived in R's present city </labl> <qstn> <qstnLit> Y26 How long have you lived in your present (city/town/township/county)? ------------------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="98"/> </invalrng> <catgryGrp> <catgry> <catValu> 00 </catValu> <txt level="category"> Less than 6 months </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 6-12 months; 1 year </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 13-24 months; 2 years </txt> </catgry> <catgry> <catValu> 89 </catValu> <txt level="category"> 89 years or more </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> All of life </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960713" ID="v960713" format="char" dcml="0"> <location cardNo="1" StartPos="1099" width="2"/> <labl level="variable"> Pre. How long has R lived in R's present house </labl> <qstn> <qstnLit> Y27 How long have you lived in this (house/condo/apartment)? ------------------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="98"/> </invalrng> <catgryGrp> <catgry> <catValu> 00 </catValu> <txt level="category"> Less than 6 months </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 6-12 months; 1 year </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 13-24 months; 2 years </txt> </catgry> <catgry> <catValu> 89 </catValu> <txt level="category"> 89 years or more </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> All of life </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960714" ID="v960714" format="char" dcml="0"> <location cardNo="1" StartPos="1101" width="1"/> <labl level="variable"> Pre. Does R own a home or pay rent </labl> <qstn> <qstnLit> Y28 (Do you/ Does your family) own your home, pay rent, or what? ------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Own house </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Pay rent </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v960715" ID="v960715" format="char" dcml="0"> <location cardNo="1" StartPos="1102" width="3"/> <labl level="variable"> Pre. How many miles does R drive in a typical day </labl> <qstn> <qstnLit> Y29 And finally, about how many miles do you drive in a typical day? ------------------------------------------------------------------- Codes 0- 600 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="998"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960716" ID="v960716" format="char" dcml="0"> <location cardNo="1" StartPos="1105" width="1"/> <labl level="variable"> Pre. Clinton Position A4-A9a(5) Random [Likes/Dislikes] </labl> <qstn> <qstnLit> Rand.A4 RANDOMIZATION Position of Clinton in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ------------------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Clinton likes/dislikes are A4-A5a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960717" ID="v960717" format="char" dcml="0"> <location cardNo="1" StartPos="1106" width="1"/> <labl level="variable"> Pre. Dole Position A4-A9a(5) Random [Likes/Dislikes] </labl> <qstn> <qstnLit> Rand.A6 RANDOMIZATION Position of Dole in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ------------------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Dole likes/dislikes are A6-A7a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960718" ID="v960718" format="char" dcml="0"> <location cardNo="1" StartPos="1107" width="1"/> <labl level="variable"> Pre. Perot Position A4-A9a(5) Random [Likes/Dislikes] </labl> <qstn> <qstnLit> Rand.A8 RANDOMIZATION Position of Perot in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ------------------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Perot likes/dislikes are A8-A9a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960719" ID="v960719" format="char" dcml="0"> <location cardNo="1" StartPos="1108" width="2"/> <labl level="variable"> Pre. Gore Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1d RANDOMIZATION Position of Gore in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Gore thermometer is D1d]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960720" ID="v960720" format="char" dcml="0"> <location cardNo="1" StartPos="1110" width="2"/> <labl level="variable"> Pre. Kemp Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1e RANDOMIZATION Position of Kemp in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Kemp thermometer is D1e]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960721" ID="v960721" format="char" dcml="0"> <location cardNo="1" StartPos="1112" width="2"/> <labl level="variable"> Pre. Choate/Campbell Position Therm Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1f RANDOMIZATION Position of Choate/Campbell in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Choate/Campbell thermometer is D1f]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960722" ID="v960722" format="char" dcml="0"> <location cardNo="1" StartPos="1114" width="2"/> <labl level="variable"> Pre. Democratic Hse Cand Pos Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1g RANDOMIZATION Position of Democratic House candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Democratic House Candidate thermometer is D1g]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Democratic House candidate (House race type 24) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960723" ID="v960723" format="char" dcml="0"> <location cardNo="1" StartPos="1116" width="2"/> <labl level="variable"> Pre. Republican Hse Cand Pos Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1h RANDOMIZATION Position of Republican House candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Republican House Candidate thermometer is D1h]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Republican House candidate (House race type 14) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960724" ID="v960724" format="char" dcml="0"> <location cardNo="1" StartPos="1118" width="2"/> <labl level="variable"> Pre. Retiring Hse Representative Position Therm Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1j RANDOMIZATION Position of Retiring House representative candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Retiring House Representative thermometer is D1j]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no retiring House representative (House race type 12,14, 21,24) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960725" ID="v960725" format="char" dcml="0"> <location cardNo="1" StartPos="1120" width="2"/> <labl level="variable"> Pre. Hillary Clinton Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1k RANDOMIZATION Position of Hillary Clinton in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Hillary Clinton thermometer is D1k]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960726" ID="v960726" format="char" dcml="0"> <location cardNo="1" StartPos="1122" width="2"/> <labl level="variable"> Pre. Buchanan Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1m RANDOMIZATION Position of Buchanan in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Buchanan thermometer is D1m]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960727" ID="v960727" format="char" dcml="0"> <location cardNo="1" StartPos="1124" width="2"/> <labl level="variable"> Pre. Jackson Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1n RANDOMIZATION Position of Jackson in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Jackson thermometer is D1n]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960728" ID="v960728" format="char" dcml="0"> <location cardNo="1" StartPos="1126" width="2"/> <labl level="variable"> Pre. Gingrich Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1p RANDOMIZATION Position of Gingrich in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Gingrich thermometer is D1p]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960729" ID="v960729" format="char" dcml="0"> <location cardNo="1" StartPos="1128" width="2"/> <labl level="variable"> Pre. Powell Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1q RANDOMIZATION Position of Powell in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Powell thermometer is D1q]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960730" ID="v960730" format="char" dcml="0"> <location cardNo="1" StartPos="1130" width="2"/> <labl level="variable"> Pre. Forbes Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1r RANDOMIZATION Position of Forbes in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Forbes thermometer is D1r]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960731" ID="v960731" format="char" dcml="0"> <location cardNo="1" StartPos="1132" width="2"/> <labl level="variable"> Pre. Gramm Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1s RANDOMIZATION Position of Gramm in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Gramm thermometer is D1s]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960732" ID="v960732" format="char" dcml="0"> <location cardNo="1" StartPos="1134" width="2"/> <labl level="variable"> Pre. Farrakhan Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1t RANDOMIZATION Position of Farrakhan in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Farrakhan thermometer is D1t]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960733" ID="v960733" format="char" dcml="0"> <location cardNo="1" StartPos="1136" width="2"/> <labl level="variable"> Pre. Alexander Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1u RANDOMIZATION Position of Alexander in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Alexander thermometer is D1u]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960734" ID="v960734" format="char" dcml="0"> <location cardNo="1" StartPos="1138" width="2"/> <labl level="variable"> Pre. Elizabeth Dole Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1v RANDOMIZATION Position of Elizabeth Dole in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Elizabeth Dole thermometer is D1v]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960735" ID="v960735" format="char" dcml="0"> <location cardNo="1" StartPos="1140" width="2"/> <labl level="variable"> Pre. Robertson Position Thermometer Random (D1d-D1w) </labl> <qstn> <qstnLit> Rand.D1w RANDOMIZATION Position of Robertson in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ------------------------------------------------------------------- See D1d-D1w in Pre survey vars [Robertson thermometer is D1w]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960736" ID="v960736" format="char" dcml="0"> <location cardNo="1" StartPos="1142" width="1"/> <labl level="variable"> Pre. Democratic Party Position Thermometer Random (D2a-D2b) </labl> <qstn> <qstnLit> Rand.D2a RANDOMIZATION Position of Democratic party in Pre questions D2a,D2b [Major party thermometers] ------------------------------------------------------------------- See D2a-D2b in Pre survey vars [Democratic party thermometer is D2a]. Major party thermometers follow thermometers for individual political figures (D1a-D1w) and are randomized separately. Codes 1,2 (1st or 2nd party mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960737" ID="v960737" format="char" dcml="0"> <location cardNo="1" StartPos="1143" width="1"/> <labl level="variable"> Pre. Republican Party Position Thermometer Random (D2a-D2b) </labl> <qstn> <qstnLit> Rand.D2b RANDOMIZATION Position of Republican party in Pre questions D2a,D2b [Major party thermometers] ------------------------------------------------------------------- See D2a-D2b in Pre survey vars [Republican party thermometer is D2b]. Major party thermometers follow thermometers for individual political figures (D1a-D1w) and are randomized separately. Codes 1,2 (1st or 2nd party mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960738" ID="v960738" format="char" dcml="0"> <location cardNo="1" StartPos="1144" width="1"/> <labl level="variable"> Pre. Economy Position in Presidential Performance Random E2-E5 </labl> <qstn> <qstnLit> Rand.E2 RANDOMIZATION Position of Economy in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ------------------------------------------------------------------- See E1-E5 in Pre survey vars [Economy performance is E2]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960739" ID="v960739" format="char" dcml="0"> <location cardNo="1" StartPos="1145" width="1"/> <labl level="variable"> Pre. Foreign Affairs Position in Pres Performance Random E2-E5 </labl> <qstn> <qstnLit> Rand.E3 RANDOMIZATION Position of Foreign Relations in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ------------------------------------------------------------------- See E1-E5 in Pre survey vars [Foreign Relations performance is E3]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960740" ID="v960740" format="char" dcml="0"> <location cardNo="1" StartPos="1146" width="1"/> <labl level="variable"> Pre. Environment Position in Pres Performance Random E2-E5 </labl> <qstn> <qstnLit> Rand.E4 RANDOMIZATION Position of Environment in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ------------------------------------------------------------------- See E1-E5 in Pre survey vars [Environment performance is E4]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960741" ID="v960741" format="char" dcml="0"> <location cardNo="1" StartPos="1147" width="1"/> <labl level="variable"> Pre. Health Care Position in Pres Performance Random E2-E5 </labl> <qstn> <qstnLit> Rand.E5 RANDOMIZATION Position of Health Care in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ------------------------------------------------------------------- See E1-E5 in Pre survey vars [Health Care performance is E5]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960742" ID="v960742" format="char" dcml="0"> <location cardNo="1" StartPos="1148" width="1"/> <labl level="variable"> Pre. Order: random Pres Cand names E6a-E6d,E7,E8 perform items </labl> <qstn> <qstnLit> Rand.E6 RANDOMIZATION Order of Presidential candidate names read in texts of Pre questions E6a-E6d, E7,E8 [Presidential candidate performance] ------------------------------------------------------------------- See E6a-E6d,E7,E8 in Pre survey vars. For each respondent, order of the 3 presidential candidate names (Clinton, Dole, Perot) was randomized; the resulting order was then read consistently in the texts of questions E6a-E6b,E7,E8. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Clinton, Dole, Perot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Dole, Perot, Clinton </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Perot, Clinton, Dole </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Clinton, Perot, Dole </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Dole, Clinton, Perot </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Perot, Dole, Clinton </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960743" ID="v960743" format="char" dcml="0"> <location cardNo="1" StartPos="1149" width="1"/> <labl level="variable"> Pre. Environment Position in Cand Performance Random E6a-E6b </labl> <qstn> <qstnLit> Rand.E6a RANDOMIZATION Position of Environment in Pre questions E6a-E6d [Presidential candidate performance] ------------------------------------------------------------------- See E6a-E6d in Pre survey vars [Environment candidate performance is E6a]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960744" ID="v960744" format="char" dcml="0"> <location cardNo="1" StartPos="1150" width="1"/> <labl level="variable"> Pre. Budget Deficit Position in Cand Performance Random E6a-E6b </labl> <qstn> <qstnLit> Rand.E6b RANDOMIZATION Position of Budget Deficit in Pre questions E6a-E6d [Presidential candidate performance] ------------------------------------------------------------------- See E6a-E6d in Pre survey vars [Budget Deficit candidate performance is E6b]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960745" ID="v960745" format="char" dcml="0"> <location cardNo="1" StartPos="1151" width="1"/> <labl level="variable"> Pre. Public Educ- Position in Cand Performance Random E6a-E6b </labl> <qstn> <qstnLit> Rand.E6c RANDOMIZATION Position of Public Education in Pre questions E6a-E6d [Presidential candidate performance] ------------------------------------------------------------------- See E6a-E6d in Pre survey vars [Public Education candidate performance is E6c]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960746" ID="v960746" format="char" dcml="0"> <location cardNo="1" StartPos="1152" width="1"/> <labl level="variable"> Pre. Reduce Spec Interests -Pos in Cand Perform Random E6a-E6b </labl> <qstn> <qstnLit> Rand.E6d RANDOMIZATION Position of Reducing the Power of Special Interests in Pre questions E6a-E6d [Presidential candidate performance] ------------------------------------------------------------------- See E6a-E6d in Pre survey vars [Reducing Speical Interests candidate performance is E6d]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960747" ID="v960747" format="char" dcml="0"> <location cardNo="1" StartPos="1153" width="1"/> <labl level="variable"> Pre. Republican Party Position F1-F4a(5) Random [Likes/Dislikes] </labl> <qstn> <qstnLit> Rand.F1 RANDOMIZATION Position of Republican Party in Pre questions F1-F2a(5), F3-F4a(5) [Major parties, 'Likes/Dislikes'] ------------------------------------------------------------------- See Pre survey vars for 'like/dislikes' mentions for Republican Party and Democratic Party [Republican Party likes/dislikes are F1-F2a(5)]. Codes 1,2 (1st, 2nd party mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent not randomly selected for F1-F4 questions (0 in E10) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960748" ID="v960748" format="char" dcml="0"> <location cardNo="1" StartPos="1154" width="1"/> <labl level="variable"> Pre. Democratic Party Position F1-F4a(5) Random [Likes/Dislikes] </labl> <qstn> <qstnLit> Rand.F3 RANDOMIZATION Position of Democratic Party in Pre questions F1-F2a(5), F3-F4a(5) [Major parties, 'Likes/Dislikes'] ------------------------------------------------------------------- See Pre survey vars for 'like/dislikes' mentions for Republican Party and Democratic Party [Democratic Party likes/dislikes are F3-F4a(5)]. Codes 1,2 (1st, 2nd party mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent not randomly selected for F1-F4 questions (0 in E10) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960749" ID="v960749" format="char" dcml="0"> <location cardNo="1" StartPos="1155" width="1"/> <labl level="variable"> Pre. Clinton Position in G1a-G3d(1) Random [Pres Cand Affects] </labl> <qstn> <qstnLit> Rand.G1 RANDOMIZATION Position of Clinton in Pre questions G1a-G3d(1) [Presidential candidates, affects] ------------------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Clinton affects are G1a-G1d(1)]. This variable describes whether Clinton's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960750" ID="v960750" format="char" dcml="0"> <location cardNo="1" StartPos="1156" width="1"/> <labl level="variable"> Pre. Dole Position in G1a-G3d(1) Random [Pres Candidate Affects] </labl> <qstn> <qstnLit> Rand.G2 RANDOMIZATION Position of Dole in Pre questions G1a-G3d(1) [Presidential candidates, affects] ------------------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Dole affects are G2a-G2d(1)]. This variable describes whether Clinton's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960751" ID="v960751" format="char" dcml="0"> <location cardNo="1" StartPos="1157" width="1"/> <labl level="variable"> Pre. Perot Position in G1a-G3d(1) Random [Pres Cand Affects] </labl> <qstn> <qstnLit> Rand.G3 RANDOMIZATION Position of Perot in Pre questions G1a-G3d(1) [Presidential candidates, affects] ------------------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Perot affects are G3a-G3d(1)]. This variable describes whether Clinton's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960752" ID="v960752" format="char" dcml="0"> <location cardNo="1" StartPos="1158" width="1"/> <labl level="variable"> Pre. Angry in G1a-G1d(1) Randomization [Clinton Affects] </labl> <qstn> <qstnLit> Rand.G1a RANDOMIZATION Position of Angry in Pre questions G1a-G1d(1) [4 Clinton affects] ------------------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Angry is G1a]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960753" ID="v960753" format="char" dcml="0"> <location cardNo="1" StartPos="1159" width="1"/> <labl level="variable"> Pre. Hopeful in G1a-G1d(1) Randomization [Clinton Affects] </labl> <qstn> <qstnLit> Rand.G1b RANDOMIZATION Position of Hopeful in Pre questions G1a-G1d(1) [4 Clinton affects] ------------------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Hopeful is G1b]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960754" ID="v960754" format="char" dcml="0"> <location cardNo="1" StartPos="1160" width="1"/> <labl level="variable"> Pre. Afraid in G1a-G1d(1) Randomization [Clinton Affects] </labl> <qstn> <qstnLit> Rand.G1c RANDOMIZATION Position of Afraid in Pre questions G1a-G1d(1) [4 Clinton affects] ------------------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Afraid is G1c]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960755" ID="v960755" format="char" dcml="0"> <location cardNo="1" StartPos="1161" width="1"/> <labl level="variable"> Pre. Proud in G1a-G1d(1) Randomization [Clinton Affects] </labl> <qstn> <qstnLit> Rand.G1d RANDOMIZATION Position of Proud in Pre questions G1a-G1d(1) [4 Clinton affects] ------------------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Proud is G1d]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960756" ID="v960756" format="char" dcml="0"> <location cardNo="1" StartPos="1162" width="1"/> <labl level="variable"> Pre. Angry in G2a-G2d(1) Randomization [Dole Affects] </labl> <qstn> <qstnLit> Rand.G2a RANDOMIZATION Position of Angry in Pre questions G2a-G2d(1) [4 Dole affects] ------------------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Angry is G2a]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960757" ID="v960757" format="char" dcml="0"> <location cardNo="1" StartPos="1163" width="1"/> <labl level="variable"> Pre. Hopeful in G2a-G2d(1) Randomization [Dole Affects] </labl> <qstn> <qstnLit> Rand.G2b RANDOMIZATION Position of Hopeful in Pre questions G2a-G2d(1) [4 Dole affects] ------------------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Hopeful is G2b]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960758" ID="v960758" format="char" dcml="0"> <location cardNo="1" StartPos="1164" width="1"/> <labl level="variable"> Pre. Afraid in G2a-G2d(1) Randomization [Dole Affects] </labl> <qstn> <qstnLit> Rand.G2c RANDOMIZATION Position of Afraid in Pre questions G2a-G2d(1) [4 Dole affects] ------------------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Afraid is G2c]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960759" ID="v960759" format="char" dcml="0"> <location cardNo="1" StartPos="1165" width="1"/> <labl level="variable"> Pre. Proud in G2a-G2d(1) Randomization [Dole Affects] </labl> <qstn> <qstnLit> Rand.G2d RANDOMIZATION Position of Proud in Pre questions G2a-G2d(1) [4 Dole affects] ------------------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Proud is G2d]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960760" ID="v960760" format="char" dcml="0"> <location cardNo="1" StartPos="1166" width="1"/> <labl level="variable"> Pre. Angry in G3a-G3d(1) Randomization [Perot Affects] </labl> <qstn> <qstnLit> Rand.G3a RANDOMIZATION Position of Angry in Pre questions G3a-G3d(1) [4 Perot affects] ------------------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Angry is G3a]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Iw conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960761" ID="v960761" format="char" dcml="0"> <location cardNo="1" StartPos="1167" width="1"/> <labl level="variable"> Pre. Hopeful in G3a-G3d(1) Randomization [Perot Affects] </labl> <qstn> <qstnLit> Rand.G3b RANDOMIZATION Position of Hopeful in Pre questions G3a-G3d(1) [4 Perot affects] ------------------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Hopeful is G3b]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Iw conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960762" ID="v960762" format="char" dcml="0"> <location cardNo="1" StartPos="1168" width="1"/> <labl level="variable"> Pre. Afraid in G3a-G3d(1) Randomization [Perot Affects] </labl> <qstn> <qstnLit> Rand.G3c RANDOMIZATION Position of Afraid in Pre questions G3a-G3d(1) [4 Perot affects] ------------------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Afraid is G3c]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Iw conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960763" ID="v960763" format="char" dcml="0"> <location cardNo="1" StartPos="1169" width="1"/> <labl level="variable"> Pre. Proud in G3a-G3d(1) Randomization [Perot Affects] </labl> <qstn> <qstnLit> Rand.G3d RANDOMIZATION Position of Proud in Pre questions G3a-G3d(1) [4 Perot affects] ------------------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Proud is G3d]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Iw conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960764" ID="v960764" format="char" dcml="0"> <location cardNo="1" StartPos="1170" width="1"/> <labl level="variable"> Pre. Clinton Pos in G5-G7a Random [Lib-Con Place of Pres.Cands] </labl> <qstn> <qstnLit> Rand.G5 RANDOMIZATION Position of Clinton in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ------------------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Clinton is G5-G5a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960765" ID="v960765" format="char" dcml="0"> <location cardNo="1" StartPos="1171" width="1"/> <labl level="variable"> Pre. Dole Pos in G5-G7a Random [Lib-Con of Pres. Cand] </labl> <qstn> <qstnLit> Rand.G6 RANDOMIZATION Position of Dole in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ------------------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Dole is G6-G6a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960766" ID="v960766" format="char" dcml="0"> <location cardNo="1" StartPos="1172" width="1"/> <labl level="variable"> Pre. Perot Pos in G5-G7a Random [Lib-Con of Pres. Cand] </labl> <qstn> <qstnLit> Rand.G7 RANDOMIZATION Position of Perot in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ------------------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Perot is G7-G7a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960767" ID="v960767" format="char" dcml="0"> <location cardNo="1" StartPos="1173" width="1"/> <labl level="variable"> Pre. Dem Hse Cand Pos in G8-G9a Random [Lib-Con Hse Cand Pl] </labl> <qstn> <qstnLit> Rand.G8 RANDOMIZATION Position of Democratic House Candidate in Pre questions G8-G9a [House candidates, Liberal-conservative placements] ------------------------------------------------------------------- See G8-G9a in Pre survey vars for liberal-conservative placements of Democratic and Republican House candidates [Democratic candidate is G8-G8a]. House candidate placements follow the 3 Presidential candidate placements (G5-G7a) and precede the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Democratic House candidate (House race type 24) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960768" ID="v960768" format="char" dcml="0"> <location cardNo="1" StartPos="1174" width="1"/> <labl level="variable"> Pre. Rep Hse Cand Pos in G8-G9a Random [Lib-Con Hse Cand Pl] </labl> <qstn> <qstnLit> Rand.G9 RANDOMIZATION Position of Republican House Candidate in Pre questions G8-G9a [House candidates, Liberal-conservative placements] ------------------------------------------------------------------- See G8-G9a in Pre survey vars for liberal-conservative placements of Democratic and Republican House candidates [Republican candidate is G9-G9a]. House candidate placements follow the 3 Presidential candidate placements (G5-G7a) and precede the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Republican House candidate (House race type 14) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960769" ID="v960769" format="char" dcml="0"> <location cardNo="1" StartPos="1175" width="1"/> <labl level="variable"> Pre. Dem Party Position in G10-G11 Random [Lib-Con Party Pl] </labl> <qstn> <qstnLit> Rand.G10 RANDOMIZATION Position of Democratic Party in Pre questions G10-G11 [Major parties, Liberal-conservative placements] ------------------------------------------------------------------- See G10-G11 in Pre survey vars for liberal-conservative placements of major parties [Democratic Party is G10]. Major party placements follow the 3 Presidential candidate placements (G5-G7a) and the 2 House candidate placements (G7-G9a), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960770" ID="v960770" format="char" dcml="0"> <location cardNo="1" StartPos="1176" width="1"/> <labl level="variable"> Pre. Rep Party Position in G10-G11 Random [Lib-Con Party Pl] </labl> <qstn> <qstnLit> Rand.G11 RANDOMIZATION Position of Republican Party in Pre questions G10-G11 [Major parties, Liberal-conservative placements] ------------------------------------------------------------------- See G10-G11 in Pre survey vars for liberal-conservative placements of major parties [Republican Party is G11]. Major party placements follow the 3 Presidential candidate placements (G5-G7a) and the 2 House candidate placements (G7-G9a), and are randomized separately from both. In reference to the entire set of administered Liberal-Conservative placements affected by randomization (G5-G11), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960771" ID="v960771" format="char" dcml="0"> <location cardNo="1" StartPos="1177" width="1"/> <labl level="variable"> Pre. Order of randomized parties in H4a-H4h performance items </labl> <qstn> <qstnLit> Rand.H4 RANDOMIZATION Order of major parties read in texts of Pre questions H4a-H4h [Party Performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read consistently in the texts of all questions H4a-H4h. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic Party read first, Republican Party second </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican Party read first, Democratic Party second </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960772" ID="v960772" format="char" dcml="0"> <location cardNo="1" StartPos="1178" width="1"/> <labl level="variable"> Pre. Pos of Nation's Econ in H4a-H4h Rand [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4a RANDOMIZATION Position of Nation's Economy in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Nation's Economy is H4a]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960773" ID="v960773" format="char" dcml="0"> <location cardNo="1" StartPos="1179" width="1"/> <labl level="variable"> Pre. Pos of Foreign Affairs in H4a-H4h Rand [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4b RANDOMIZATION Position of Foreign Affairs in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4b]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960774" ID="v960774" format="char" dcml="0"> <location cardNo="1" StartPos="1180" width="1"/> <labl level="variable"> Pre. Pos of Health Care in H4a-H4h Random [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4c RANDOMIZATION Position of Health Care in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4c]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960775" ID="v960775" format="char" dcml="0"> <location cardNo="1" StartPos="1181" width="1"/> <labl level="variable"> Pre. Pos of Welfare Reform in H4a-H4h Random [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4d RANDOMIZATION Position of Welfare Reform in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in survey vars [Foreign Affairs is H4d]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960776" ID="v960776" format="char" dcml="0"> <location cardNo="1" StartPos="1182" width="1"/> <labl level="variable"> Pre. Pos of Poverty in H4a-H4h Randomization [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4e RANDOMIZATION Position of Poverty in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4e]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960777" ID="v960777" format="char" dcml="0"> <location cardNo="1" StartPos="1183" width="1"/> <labl level="variable"> Pre. Pos of Budget Deficit in H4a-H4h Random [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4f RANDOMIZATION Position of Budget Deficit in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4f]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960778" ID="v960778" format="char" dcml="0"> <location cardNo="1" StartPos="1184" width="1"/> <labl level="variable"> Pre. Pos of Pollut/Envir in H4a-H4h Random [Pres Cand Perform] </labl> <qstn> <qstnLit> Rand.H4g RANDOMIZATION Position of Pollution and Environment in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4g]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960779" ID="v960779" format="char" dcml="0"> <location cardNo="1" StartPos="1185" width="1"/> <labl level="variable"> Pre. Pos of Crime in H4a-H4h Random [Pres Cand Performance] </labl> <qstn> <qstnLit> Rand.H4h RANDOMIZATION Position of Crime in Pre questions H4a-H4h [Presidential candidate performance] ------------------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4h]. Codes 1-8 (1st to 8th performance item mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960780" ID="v960780" format="char" dcml="0"> <location cardNo="1" StartPos="1186" width="1"/> <labl level="variable"> Pre. Order of parties in H5 perform item [Cut Soc Security] </labl> <qstn> <qstnLit> Rand.H5 RANDOMIZATION Order of major parties read in text of Pre question H5 (randomized). [Presidential candidate performance, Cut Social Security Benefits] ------------------------------------------------------------------- See H5 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H5. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic Party read first, Republican Party second </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican Party read first, Democratic Party second </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960781" ID="v960781" format="char" dcml="0"> <location cardNo="1" StartPos="1187" width="1"/> <labl level="variable"> Pre. Order of parties in H6 perform item [Imprve Race Relat] </labl> <qstn> <qstnLit> Rand.H6 RANDOMIZATION Order of major parties read in text of Pre question H6 (randomized). [Presidential candidate performance, Improve Race Relations] ------------------------------------------------------------------- See H6 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H6. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic Party read first, Republican Party second </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican Party read first, Democratic Party second </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960782" ID="v960782" format="char" dcml="0"> <location cardNo="1" StartPos="1188" width="1"/> <labl level="variable"> Pre. Order of parties in H7 perform item [Raise Taxes] </labl> <qstn> <qstnLit> Rand.H7 RANDOMIZATION Order of major parties read in text of Pre question H7 (randomized). [Presidential candidate performance, Raise Taxes] ------------------------------------------------------------------- See H7 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H7. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic Party read first, Republican Party second </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican Party read first, Democratic Party second </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960783" ID="v960783" format="char" dcml="0"> <location cardNo="1" StartPos="1189" width="1"/> <labl level="variable"> Pre. Order of parties in H8 perform item [Keep Out of War] </labl> <qstn> <qstnLit> Rand.H8 RANDOMIZATION Order of major parties read in text of Pre question H8 (randomized). [Presidential candidate performance, Keep Out of War] ------------------------------------------------------------------- See H8 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H8. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic Party read first, Republican Party second </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican Party read first, Democratic Party second </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960784" ID="v960784" format="char" dcml="0"> <location cardNo="1" StartPos="1190" width="1"/> <labl level="variable"> Pre. Order of House cand names in H13a [Incumbency Status] </labl> <qstn> <qstnLit> Rand.H13a RANDOMIZATION Order of House candidate names read in text of Pre question H13a [Incumbency Status, Districts with 2 major party candidates]. ------------------------------------------------------------------- See H13a in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H13a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, only one major party candidate (type race 14 or 24) or Washington DC </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate name read first, Republican candidate name second </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate name read first, Democratic candidate name second </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960785" ID="v960785" format="char" dcml="0"> <location cardNo="1" StartPos="1191" width="1"/> <labl level="variable"> Pre. Pos of Intelligent in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2a RANDOMIZATION Position of Intelligent in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Intelligent is K2a]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960786" ID="v960786" format="char" dcml="0"> <location cardNo="1" StartPos="1192" width="1"/> <labl level="variable"> Pre. Pos of Compassionate in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2b RANDOMIZATION Position of Compassionate in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Compassionate is K2b]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960787" ID="v960787" format="char" dcml="0"> <location cardNo="1" StartPos="1193" width="1"/> <labl level="variable"> Pre. Pos of Moral in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2c RANDOMIZATION Position of Moral in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Moral is K2c]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960788" ID="v960788" format="char" dcml="0"> <location cardNo="1" StartPos="1194" width="1"/> <labl level="variable"> Pre. Pos of Inspiring in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2d RANDOMIZATION Position of Inspiring in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Inspiring is K2d]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960789" ID="v960789" format="char" dcml="0"> <location cardNo="1" StartPos="1195" width="1"/> <labl level="variable"> Pre. Pos of Strong Leadership in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2e RANDOMIZATION Position of Provides Strong Leadership in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Provides Strong Leadership is K2e]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960790" ID="v960790" format="char" dcml="0"> <location cardNo="1" StartPos="1196" width="1"/> <labl level="variable"> Pre. Pos of Really Cares in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2f RANDOMIZATION Position of Really Cares About People Like You in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Really Cares About People Like You is K2f]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960791" ID="v960791" format="char" dcml="0"> <location cardNo="1" StartPos="1197" width="1"/> <labl level="variable"> Pre. Pos of Knowledgeable in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2g RANDOMIZATION Position of Knowledgeable in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Knowledgeable is K2g]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960792" ID="v960792" format="char" dcml="0"> <location cardNo="1" StartPos="1198" width="1"/> <labl level="variable"> Pre. Pos of Honest in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2h RANDOMIZATION Position of Honest in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Honest is K2h]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960793" ID="v960793" format="char" dcml="0"> <location cardNo="1" StartPos="1199" width="1"/> <labl level="variable"> Pre. Pos of Gets Things Done in K2a-j Random [Clinton Traits] </labl> <qstn> <qstnLit> Rand.K2j RANDOMIZATION Position of Gets Things Done in Pre questions K2a-j [9 Clinton traits] ------------------------------------------------------------------- See K2a-j in Pre survey vars [Gets Things Done is K2j]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960794" ID="v960794" format="char" dcml="0"> <location cardNo="1" StartPos="1200" width="1"/> <labl level="variable"> Pre. Pos of Dole in K3a-K3g/K4a-K4g Random [Pres Cand Traits] </labl> <qstn> <qstnLit> Rand.K3 RANDOMIZATION Position of Dole in Pre questions K2a-K4g [Presidential candidates, Traits, K3a-K4g randomized ] ------------------------------------------------------------------- See K3a-K3g/K4a-K4g in Pre survey vars for traits of Dole and Perot[Dole traits are K3a-K3g]. This variable describes the order in which Dole and Perot traits were administered. Note that Clinton traits were always asked previously (not randomized). All traits were asked about a candidate before the next candidate's traits were administered. Codes 1,2 (2nd or 3rd Presidential candidate for administration of Traits questions) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960795" ID="v960795" format="char" dcml="0"> <location cardNo="1" StartPos="1201" width="1"/> <labl level="variable"> Pre. Pos of Perot in K3a-K3g/K4a-K4g Random [Pres Cand Traits] </labl> <qstn> <qstnLit> Rand.K4 RANDOMIZATION Position of Perot in Pre questions K2a-K4g [Presidential Candidates, Traits, K3a-K4g randomized ] ------------------------------------------------------------------- See K3a-K3g/K4a-K4g in Pre survey vars for traits of Dole and Perot[Perot traits are K4a-K4g]. This variable describes whether Perot traits were administered 2nd or 3rd. Note that Clinton traits were always asked first (not randomized). All traits were asked about a candidate before the next candidate's traits were administered. Codes 2,3 (2nd or 3rd Presidential candidate) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960796" ID="v960796" format="char" dcml="0"> <location cardNo="1" StartPos="1202" width="1"/> <labl level="variable"> Pre. Pos of Moral in K3-K3g/K4a-K4g Random [Dole/PerotTraits] </labl> <qstn> <qstnLit> Rand.K3/4a RANDOMIZATION Position of Moral in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Moral is K3a and K4a]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960797" ID="v960797" format="char" dcml="0"> <location cardNo="1" StartPos="1203" width="1"/> <labl level="variable"> Pre. Pos of Inspiring in K3-K3g/K4a-K4g Random [Dole/PerotTraits] </labl> <qstn> <qstnLit> Rand.K3/4b RANDOMIZATION Position of Inspiring in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Inspiring is K3b and K4b]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960798" ID="v960798" format="char" dcml="0"> <location cardNo="1" StartPos="1204" width="1"/> <labl level="variable"> Pre. Pos of Strong Lead in K3-K3g/K4a-K4g [Dole/PerotTraits] </labl> <qstn> <qstnLit> Rand.K3/4c RANDOMIZATION Position of Provides Strong Leadership in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Provides Strong Leadership is K3c and K4c]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960799" ID="v960799" format="char" dcml="0"> <location cardNo="1" StartPos="1205" width="1"/> <labl level="variable"> Pre. Really Cares in K3-K3g/K4a-K4g Random [Dole/Perot </labl> <qstn> <qstnLit> Rand.K3/4d RANDOMIZATION Position of Really Cares About People Like You in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Really Cares About People Like You is K3d and K4d]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960800" ID="v960800" format="char" dcml="0"> <location cardNo="1" StartPos="1206" width="1"/> <labl level="variable"> Pre. Knowledgeable in K3-K3g/K4a-K4g Random [Dole/PerotTraits] </labl> <qstn> <qstnLit> Rand.K3/4e RANDOMIZATION Position of Knowledgeable in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Knowledgeable is K3e and K4e]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960801" ID="v960801" format="char" dcml="0"> <location cardNo="1" StartPos="1207" width="1"/> <labl level="variable"> Pre. Honest in K3-K3g/K4a-K4g Random [Dole/PerotTraits] </labl> <qstn> <qstnLit> Rand.K3/4f RANDOMIZATION Position of Honest in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Honest is K3f and K4f]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960802" ID="v960802" format="char" dcml="0"> <location cardNo="1" StartPos="1208" width="1"/> <labl level="variable"> Pre. Gets Things Done in K3-K3g/K4a-K4g Random [Dole/PerotTraits] </labl> <qstn> <qstnLit> Rand.K3/4g RANDOMIZATION Position of Gets Things Done in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ------------------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Gets Things Done is K3g and K4g]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960803" ID="v960803" format="char" dcml="0"> <location cardNo="1" StartPos="1209" width="1"/> <labl level="variable"> Pre. Clinton in L1b-L1d Random [Pres Cand Services/Spend scales] </labl> <qstn> <qstnLit> Rand.L1b RANDOMIZATION Position of Clinton in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ------------------------------------------------------------------- See L1b-L1d in Pre survey vars [Clinton is L1b]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960804" ID="v960804" format="char" dcml="0"> <location cardNo="1" StartPos="1210" width="1"/> <labl level="variable"> Pre. Dole in L1b-L1d Random [Pres Cand Services/Spending scales] </labl> <qstn> <qstnLit> Rand.L1c RANDOMIZATION Position of Dole in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ------------------------------------------------------------------- See L1b-L1d in Pre survey vars [Dole is L1c]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960805" ID="v960805" format="char" dcml="0"> <location cardNo="1" StartPos="1211" width="1"/> <labl level="variable"> Pre. Perot in L1b-L1d Random [Pres Cand Services/Spending scales] </labl> <qstn> <qstnLit> Rand.L1d RANDOMIZATION Position of Perot in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ------------------------------------------------------------------- See L1b-L1d in Pre survey vars [Perot is L1d]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960806" ID="v960806" format="char" dcml="0"> <location cardNo="1" StartPos="1212" width="1"/> <labl level="variable"> Pre. Dem House Cand in L1e-L1f Random [Services/Spending scale] </labl> <qstn> <qstnLit> Rand.L1e RANDOMIZATION Position of Democratic House candidate in Pre questions L1e-L1f [House Candidates, Services/Spending scale] ------------------------------------------------------------------- See L1e-L1f in Pre survey vars [Democratic House Candidate is L1e]. House candidate placements follow the 3 Presidential candidate placements (L1b-L1d) and precede the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Democratic House candidate (House race type 24) or Washington DC; 0,8,9 in L1a; R did not recognize name (997 in D1g) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960807" ID="v960807" format="char" dcml="0"> <location cardNo="1" StartPos="1213" width="1"/> <labl level="variable"> Pre. Rep House Cand in L1e-L1f Random [Services/Spending scale] </labl> <qstn> <qstnLit> Rand.L1f RANDOMIZATION Position of Republican House candidate in Pre questions L1e-L1f [House Candidates, Services/Spending scale] ------------------------------------------------------------------- See L1e-L1f in Pre survey vars [Republican House Candidate is L1f]. House candidate placements follow the 3 Presidential candidate placements (L1b-L1d) and precede the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Republican House candidate (House race type 24) or Washington DC; 0,8,9 in L1a; R did not recognize name (997 in D1h) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960808" ID="v960808" format="char" dcml="0"> <location cardNo="1" StartPos="1214" width="1"/> <labl level="variable"> Pre. Dem Party in L1g-L1h Random [Services/Spending scale] </labl> <qstn> <qstnLit> Rand.L1g RANDOMIZATION Position of Democratic Party in Pre questions L1g-L1h [Major parties, Services/Spending scale] ------------------------------------------------------------------- See L1e-L1f in Pre survey vars [Democratic party is L1g] Major party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960809" ID="v960809" format="char" dcml="0"> <location cardNo="1" StartPos="1215" width="1"/> <labl level="variable"> Pre. Rep Party in L1g-L1h Random [Services/Spending scale] </labl> <qstn> <qstnLit> Rand.L1h RANDOMIZATION Position of Republican Party in Pre questions L1g-L1h [Major parties, Services/Spending scale] ------------------------------------------------------------------- See L1e-L1f in Pre survey vars [Republican party is L1h] Major party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960810" ID="v960810" format="char" dcml="0"> <location cardNo="1" StartPos="1216" width="1"/> <labl level="variable"> Pre. Clinton in L2b-L2d Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2b RANDOMIZATION Position of Clinton in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ------------------------------------------------------------------- See L2b-L2d in Pre survey vars [Clinton is L2b] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960811" ID="v960811" format="char" dcml="0"> <location cardNo="1" StartPos="1217" width="1"/> <labl level="variable"> Pre. Dole in L2b-L2d Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2c RANDOMIZATION Position of Dole in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ------------------------------------------------------------------- See L2b-L2d in Pre survey vars [Dole is L2c] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960812" ID="v960812" format="char" dcml="0"> <location cardNo="1" StartPos="1218" width="1"/> <labl level="variable"> Pre. Perot in L2b-L2d Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2d RANDOMIZATION Position of Perot in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ------------------------------------------------------------------- See L2b-L2d in Pre survey vars [Perot is L2d] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, IW conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960813" ID="v960813" format="char" dcml="0"> <location cardNo="1" StartPos="1219" width="1"/> <labl level="variable"> Pre. Dem House cand in L2e-L2f Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2e RANDOMIZATION Position of Democratic House candidate in Pre questions L2f-L2e [House candidates, Defense Spending scale] ------------------------------------------------------------------- See L2e-L2f in Pre survey vars [Democratic House candidate is L2e]. House candidate placements follow the 3 Presidential candidate placements (L2b-L2d) and precede the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Democratic House candidate (House race type 24) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960814" ID="v960814" format="char" dcml="0"> <location cardNo="1" StartPos="1220" width="1"/> <labl level="variable"> Pre. Rep House cand in L2e-L2f Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2f RANDOMIZATION Position of Republican House candidate in Pre questions L2f-L2e [House candidates, Defense Spending scale] ------------------------------------------------------------------- See L2e-L2f in Pre survey vars [Republican House candidate is L2f]. House candidate placements follow the 3 Presidential candidate placements (L2b-L2d) and precede the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Republican House candidate (House race type 24) or Washington DC </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960815" ID="v960815" format="char" dcml="0"> <location cardNo="1" StartPos="1221" width="1"/> <labl level="variable"> Pre. Dem Party in L2e-L2f Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2g RANDOMIZATION Position of Democratic Party in Pre questions L2g-L2h [Major parties, Defense Spending scale] ------------------------------------------------------------------- See L2g-L2h in Pre survey vars [Democratic party is L2g]. Major Party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960816" ID="v960816" format="char" dcml="0"> <location cardNo="1" StartPos="1222" width="1"/> <labl level="variable"> Pre. Rep Party in L2e-L2f Random [Defense Spending scale] </labl> <qstn> <qstnLit> Rand.L2h RANDOMIZATION Position of Republican Party in Pre questions L2g-L2h [Major parties, Defense Spending scale] ------------------------------------------------------------------- See L2g-L2h in Pre survey vars [Republican party is L2h]. Major Party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960817" ID="v960817" format="char" dcml="0"> <location cardNo="1" StartPos="1223" width="1"/> <labl level="variable"> Pre. Clinton in L3b-L3d Random [Gov Health Insurance scale] </labl> <qstn> <qstnLit> Rand.L3b RANDOMIZATION Position of Clinton in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ------------------------------------------------------------------- See L3b-L3d in Pre survey vars [Clinton is L3b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960818" ID="v960818" format="char" dcml="0"> <location cardNo="1" StartPos="1224" width="1"/> <labl level="variable"> Pre. Dole in L3b-L3d Random [Gov Health Insurance scale] </labl> <qstn> <qstnLit> Rand.L3c RANDOMIZATION Position of Dole in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ------------------------------------------------------------------- See L3b-L3d in Pre survey vars [Dole is L3c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960819" ID="v960819" format="char" dcml="0"> <location cardNo="1" StartPos="1225" width="1"/> <labl level="variable"> Pre. Perot in L3b-L3d Random [Gov Health Insurance scale] </labl> <qstn> <qstnLit> Rand.L3d RANDOMIZATION Position of Perot in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ------------------------------------------------------------------- See L3b-L3d in Pre survey vars [Perot is L3d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, IW conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960820" ID="v960820" format="char" dcml="0"> <location cardNo="1" StartPos="1226" width="1"/> <labl level="variable"> Pre. Clinton in L4b-L4d Random [Gov Gur Job/Standard of Livin </labl> <qstn> <qstnLit> Rand.L4b RANDOMIZATION Position of Clinton in Pre questions L4b-L4d [Presidential candidates, Government Guaranteed Job/Standard of Living] ------------------------------------------------------------------- See L4b-L4d in Pre survey vars [Clinton is L4b] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960821" ID="v960821" format="char" dcml="0"> <location cardNo="1" StartPos="1227" width="1"/> <labl level="variable"> Pre. Dole in L4b-L4d Random [Gov Gur Job/Standard of Living sc </labl> <qstn> <qstnLit> Rand.L4c RANDOMIZATION Position of Dole in Pre questions L4b-L4d [Presidential candidates, Government Guaranteed Job/Standard of Living] ------------------------------------------------------------------- See L4b-L4d in Pre survey vars [Dole is L4c] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960822" ID="v960822" format="char" dcml="0"> <location cardNo="1" StartPos="1228" width="1"/> <labl level="variable"> Pre. Perot in L4b-L4d Random [Gov Gur Job/Standard of Living s </labl> <qstn> <qstnLit> Rand.L4d RANDOMIZATION Position of Perot in Pre questions L4b-L4d [Presidential candidates, Government Guaranteed Job/Standard of Living] ------------------------------------------------------------------- See L4b-L4d in Pre survey vars [Perot is L4d] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, IW conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960823" ID="v960823" format="char" dcml="0"> <location cardNo="1" StartPos="1229" width="1"/> <labl level="variable"> Pre. Clinton in L5b-L5d Randomization [Gov Ass to Blacks scale] </labl> <qstn> <qstnLit> Rand.L5b RANDOMIZATION Position of Clinton in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ------------------------------------------------------------------- See L5b-L5d in Pre survey vars [Clinton is Lb] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960824" ID="v960824" format="char" dcml="0"> <location cardNo="1" StartPos="1230" width="1"/> <labl level="variable"> Pre. Dole in L5b-L5d Randomization [Gov Ass to Blacks scale] </labl> <qstn> <qstnLit> Rand.L5c RANDOMIZATION Position of Dole in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ------------------------------------------------------------------- See L5b-L5d in Pre survey vars [Dole is Lc] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960825" ID="v960825" format="char" dcml="0"> <location cardNo="1" StartPos="1231" width="1"/> <labl level="variable"> Pre. Perot in L5b-L5d Randomization [Gov Ass to Blacks scale] </labl> <qstn> <qstnLit> Rand.L6a RANDOMIZATION Position of Perot in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ------------------------------------------------------------------- See L5b-L5d in Pre survey vars [Perot is Ld] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960826" ID="v960826" format="char" dcml="0"> <location cardNo="1" StartPos="1232" width="1"/> <labl level="variable"> Pre. Food Stamps in L6a-L6g Randomization [Federal Spending] </labl> <qstn> <qstnLit> Rand.L6b RANDOMIZATION Position of Food Stamps in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [Food Stamps is L6a]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960827" ID="v960827" format="char" dcml="0"> <location cardNo="1" StartPos="1233" width="1"/> <labl level="variable"> Pre. Welfare Programs in L6a-L6g Randomization [Federal Spending] </labl> <qstn> <qstnLit> Rand.L6c RANDOMIZATION Position of Welfare Programs in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [Welfare Programs is L6b]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960828" ID="v960828" format="char" dcml="0"> <location cardNo="1" StartPos="1234" width="1"/> <labl level="variable"> Pre. AIDS Research in L6a-L6g Randomization [Federal Spending] </labl> <qstn> <qstnLit> Rand.L6d RANDOMIZATION Position of AIDS Research in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [AIDS Research is L6c]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960829" ID="v960829" format="char" dcml="0"> <location cardNo="1" StartPos="1235" width="1"/> <labl level="variable"> Pre. Foreign Aid in L6a-L6g Randomization [Federal Spending] </labl> <qstn> <qstnLit> Rand.L6e RANDOMIZATION Position of Foreign Aid in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [Foreign Aid is L6d]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960830" ID="v960830" format="char" dcml="0"> <location cardNo="1" StartPos="1236" width="1"/> <labl level="variable"> Pre. Aid to College Students in L6a-L6g Random [Fed Spending] </labl> <qstn> <qstnLit> Rand.L6f RANDOMIZATION Position of Financial Aid to College Students in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [Financial Aid to College Students is L6e]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960831" ID="v960831" format="char" dcml="0"> <location cardNo="1" StartPos="1237" width="1"/> <labl level="variable"> Pre. Assistance to the Homeless in L6a-L6g Random [Fed Spending] </labl> <qstn> <qstnLit> Rand.L6g RANDOMIZATION Position of Assistance to the Homeless in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [Assistance to the Homeless is L6f]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960832" ID="v960832" format="char" dcml="0"> <location cardNo="1" StartPos="1238" width="1"/> <labl level="variable"> Pre. Prevent Illegal Immigr in L6a-L6g Random [Fed Spending] </labl> <qstn> <qstnLit> Rand.L6h RANDOMIZATION Position of Preventing Illegal Immigration in Pre questions L6a-L6g [7 Federal Spending items] ------------------------------------------------------------------- See L6a-L6g in Pre survey vars [Preventing Illegal Immigration is L6g]. Codes 1-7 (1st-7th spending item mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960833" ID="v960833" format="char" dcml="0"> <location cardNo="1" StartPos="1239" width="1"/> <labl level="variable"> Pre. Clinton in M1b-M1d Random [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1b RANDOMIZATION Position of Clinton in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ------------------------------------------------------------------- See M1b-M1d in Pre survey vars [Clinton is M1b]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960834" ID="v960834" format="char" dcml="0"> <location cardNo="1" StartPos="1240" width="1"/> <labl level="variable"> Pre. Dole in M1b-M1d Random [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1c RANDOMIZATION Position of Dole in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ------------------------------------------------------------------- See M1b-M1d in survey vars [Dole is M1c]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960835" ID="v960835" format="char" dcml="0"> <location cardNo="1" StartPos="1241" width="1"/> <labl level="variable"> Pre. Perot in M1b-M1d Random [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1d RANDOMIZATION Position of Perot in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ------------------------------------------------------------------- See M1b-M1d in Pre survey vars [Perot is M1d]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, IW conducted after question withdrawn </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960836" ID="v960836" format="char" dcml="0"> <location cardNo="1" StartPos="1242" width="1"/> <labl level="variable"> Pre. Dem House Cand in M1e-M1f Random [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1e RANDOMIZATION Position of Democratic House candidate in Pre questions M1e-M1f [House candidates, Abortion scale] ------------------------------------------------------------------- See M1e-M1f in Pre survey vars [Democratic House candidate is M1e]. House candidate placements follow the 3 Presidential candidate placements (M1b-M1d) and precede the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Democratic House candidate (House race type 24) or Washington DC; 8,9 in M1a; R did not recognize name (997 in D1g) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960837" ID="v960837" format="char" dcml="0"> <location cardNo="1" StartPos="1243" width="1"/> <labl level="variable"> Pre. Rep House Cand in M1e-M1f Random [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1f RANDOMIZATION Position of Republican House candidate in Pre questions M1e-M1f [House candidates, Abortion scale] ------------------------------------------------------------------- See M1e-M1f in Pre survey vars [Republican House candidate is M1f]. House candidate placements follow the 3 Presidential candidate placements (M1b-M1d) and precede the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Republican House candidate (House race type 24) or Washington DC; 8,9 in M1a; R did not recognize name (997 in D1h) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960838" ID="v960838" format="char" dcml="0"> <location cardNo="1" StartPos="1244" width="1"/> <labl level="variable"> Pre. Dem Party in M1g-M1h Randomization [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1g RANDOMIZATION Position of Democratic Party in Pre questions M1g-M1h [Major parties, Abortion scale] ------------------------------------------------------------------- See M1g-M1h in Pre survey vars [Democratic Party is M1g]. Major Party placements follow the 3 Presidential candidate placements (M1b-M1d) and the 2 House candidate placements (M1e-M1f), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960839" ID="v960839" format="char" dcml="0"> <location cardNo="1" StartPos="1245" width="1"/> <labl level="variable"> Pre. Republican Party in M1g-M1h Random [Abortion Scale] </labl> <qstn> <qstnLit> Rand.M1h RANDOMIZATION Position of Republican Party in Pre questions M1g-M1h [Major parties, Abortion scale] ------------------------------------------------------------------- See M1g-M1h in Pre survey vars [Republican Party is M1h]. Major Party placements follow the 3 Presidential candidate placements (M1b-M1d) and the 2 House candidate placements (M1e-M1f), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960840" ID="v960840" format="char" dcml="0"> <location cardNo="1" StartPos="1246" width="1"/> <labl level="variable"> Pre. Clinton in M2b-M2d Random [Crime Scale] </labl> <qstn> <qstnLit> Rand.M2b RANDOMIZATION Position of Clinton in Pre questions M2b-M2d [Presidential candidates, Crime scale] ------------------------------------------------------------------- See M2b-M2d in Pre survey vars [Clinton is M2b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960841" ID="v960841" format="char" dcml="0"> <location cardNo="1" StartPos="1247" width="1"/> <labl level="variable"> Pre. Dole in M2b-M2d Random [Crime Scale] </labl> <qstn> <qstnLit> Rand.M2c RANDOMIZATION Position of Dole in Pre questions M2b-M2d [Presidential candidates, Crime scale] ------------------------------------------------------------------- See M2b-M2d in Pre survey vars [Dole is M2c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960842" ID="v960842" format="char" dcml="0"> <location cardNo="1" StartPos="1248" width="1"/> <labl level="variable"> Pre. Perot in M2b-M2d Random [Crime Scale] </labl> <qstn> <qstnLit> Rand.M2d RANDOMIZATION Position of Perot in Pre questions M2b-M2d [Presidential candidates, Crime scale] ------------------------------------------------------------------- See M2b-M2d in Pre survey vars [Perot is M2d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960843" ID="v960843" format="char" dcml="0"> <location cardNo="1" StartPos="1249" width="1"/> <labl level="variable"> Pre. Clinton in M3b-M3d Random [Jobs/Environment Scale] </labl> <qstn> <qstnLit> Rand.M3b RANDOMIZATION Position of Clinton in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ------------------------------------------------------------------- See M3b-M3d in Pre survey vars [Clinton is M3b]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b-M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960844" ID="v960844" format="char" dcml="0"> <location cardNo="1" StartPos="1250" width="1"/> <labl level="variable"> Pre. Dole in M3b-M3d Random [Jobs/Environment Scale] </labl> <qstn> <qstnLit> Rand.M3c RANDOMIZATION Position of Dole in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ------------------------------------------------------------------- See M3b-M3d in Pre survey vars [Dole is M3c]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b-M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960845" ID="v960845" format="char" dcml="0"> <location cardNo="1" StartPos="1251" width="1"/> <labl level="variable"> Pre. Perot in M3b-M3d Random [Jobs/Environment Scale] </labl> <qstn> <qstnLit> Rand.M3d RANDOMIZATION Position of Perot in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ------------------------------------------------------------------- See M3b-M3d in Pre survey vars [Perot is M3d]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b-M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960846" ID="v960846" format="char" dcml="0"> <location cardNo="1" StartPos="1252" width="1"/> <labl level="variable"> Pre. Dem Party in M3e-M3f Random [Jobs/Environment Scale] </labl> <qstn> <qstnLit> Rand.M3e RANDOMIZATION Position of Democratic Party in Pre questions M3e-M3f [Major parties, Jobs/Environment scale] ------------------------------------------------------------------- See M3e-M3f in Pre survey vars [Democratic Party is M3e]. Major Party placements follow Presidential candidate placements (M3b-M3d), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b-M3f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960847" ID="v960847" format="char" dcml="0"> <location cardNo="1" StartPos="1253" width="1"/> <labl level="variable"> Pre. Rep Party in M3e-M3f Random [Jobs/Environment Scale] </labl> <qstn> <qstnLit> Rand.M3f RANDOMIZATION Position of Republican Party in Pre questions M3e-M3f [Major parties, Jobs/Environment scale] ------------------------------------------------------------------- See M3e-M3f in Pre survey vars [Republican Party is M3f]. Major Party placements follow Presidential candidate placements (M3b-M3d), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b-M3f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960848" ID="v960848" format="char" dcml="0"> <location cardNo="1" StartPos="1254" width="1"/> <labl level="variable"> Pre. Clinton in M4b-M4d Random [Environmental Regulation Scale] </labl> <qstn> <qstnLit> Rand.M4b RANDOMIZATION Position of Clinton in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ------------------------------------------------------------------- See M4b-M4d in Pre survey vars [Clinton is M4b]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b-M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960849" ID="v960849" format="char" dcml="0"> <location cardNo="1" StartPos="1255" width="1"/> <labl level="variable"> Pre. Dole in M4b-M4d Random [Environmental Regulation Scale] </labl> <qstn> <qstnLit> Rand.M4c RANDOMIZATION Position of Dole in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ------------------------------------------------------------------- See M4b-M4d in Pre survey vars [Dole is M4c]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b-M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960850" ID="v960850" format="char" dcml="0"> <location cardNo="1" StartPos="1256" width="1"/> <labl level="variable"> Pre. Perot in M4b-M4d Random [Environmental Regulation Scale] </labl> <qstn> <qstnLit> Rand.M4d RANDOMIZATION Position of Perot in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ------------------------------------------------------------------- See M4b-M4d in Pre survey vars [Perot is M4d]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b-M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960851" ID="v960851" format="char" dcml="0"> <location cardNo="1" StartPos="1257" width="1"/> <labl level="variable"> Pre. Dem Party in M4e-M4f Random [Environmental Regulation Scale] </labl> <qstn> <qstnLit> Rand.M4e RANDOMIZATION Position of Democratic party in Pre questions M4e-M4f [Major parties, Environmental Regulation scale] ------------------------------------------------------------------- See M4e-M4f in Pre survey vars [Democratic Party is M4e]. Major Party placements follow Presidential candidate placements (M4b-M4d), and are randomized separately from them. In reference to the entire set of administered Environmental Regulation placements affected by randomization (M4b-M4f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960852" ID="v960852" format="char" dcml="0"> <location cardNo="1" StartPos="1258" width="1"/> <labl level="variable"> Pre. Rep Party in M4e-M4f Random [Environmental Regulation Scale] </labl> <qstn> <qstnLit> Rand.M4f RANDOMIZATION Position of Republican party in Pre questions M4e-M4f [Major parties, Environmental Regulation scale] ------------------------------------------------------------------- See M4e-M4f in Pre survey vars [Republican Party is M4f]. Major Party placements follow Presidential candidate placements (M4b-M4d), and are randomized separately from them. In reference to the entire set of administered Environmental Regulation placements affected by randomization (M4b-M4f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960853" ID="v960853" format="char" dcml="0"> <location cardNo="1" StartPos="1259" width="1"/> <labl level="variable"> Pre. Clinton in N1b-N1d Random [Women's Role] </labl> <qstn> <qstnLit> Rand.N1b RANDOMIZATION Position of Clinton in Pre questions N1b-N1d [Presidential candidates, Women's Role] ------------------------------------------------------------------- See N1b-N1d in Pre survey vars [Clinton is N1b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960854" ID="v960854" format="char" dcml="0"> <location cardNo="1" StartPos="1260" width="1"/> <labl level="variable"> Pre. Dole in N1b-N1d Random [Women's Role] </labl> <qstn> <qstnLit> Rand.N1c RANDOMIZATION Position of Dole in Pre questions N1b-N1d [Presidential candidates, Women's Role] ------------------------------------------------------------------- See N1b-N1d in Pre survey vars [Dole is N1c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960855" ID="v960855" format="char" dcml="0"> <location cardNo="1" StartPos="1261" width="1"/> <labl level="variable"> Pre. Perot in N1b-N1d Random [Women's Role] </labl> <qstn> <qstnLit> Rand.N1d RANDOMIZATION Position of Perot in Pre questions N1b-N1d [Presidential candidates, Women's Role] ------------------------------------------------------------------- See N1b-N1d in Pre survey vars [Perot is N1d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960856" ID="v960856" format="char" dcml="0"> <location cardNo="1" StartPos="1262" width="1"/> <labl level="variable"> Pre. Pres. cand names in text of N3a [Who R Would Most Like Pres] </labl> <qstn> <qstnLit> Rand.N3a RANDOMIZATION Order of Presidential candidate names read in text of Pre question N3a [Who would R most like to see elected] ------------------------------------------------------------------- See N3a in Pre survey vars. For each respondent, order of the 3 major Presidential candidates (Clinton, Dole, Perot) was randomized in the text of the question N3a. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Clinton, Dole, Perot </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Dole, Perot, Clinton </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Perot, Clinton, Dole </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Clinton, Perot, Dole </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Dole, Clinton, Perot </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Perot, Dole, Clinton </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960857" ID="v960857" format="char" dcml="0"> <location cardNo="1" StartPos="1263" width="1"/> <labl level="variable"> Pre. Social Security Benefits in N5a-N5f [Federal Spending] </labl> <qstn> <qstnLit> Rand.N5a RANDOMIZATION Position of Social Security Benefits in Pre questions N5a-N5f [6 Federal Spending items] ------------------------------------------------------------------- See N5a-N5f in Pre survey vars [Social Security Benefits is N5a]. Codes 1-6 (1st-6th spending item mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960858" ID="v960858" format="char" dcml="0"> <location cardNo="1" StartPos="1264" width="1"/> <labl level="variable"> Pre. Improve/Protect the Environment in N5a-N5f [Fed Spending] </labl> <qstn> <qstnLit> Rand.N5b RANDOMIZATION Position of Improve and Protect the Environment in Pre questions N5a-N5f [6 Federal Spending items] ------------------------------------------------------------------- See N5a-N5f in Pre survey vars [Improve and Protect the Environment is N5b]. Codes 1-6 (1st-6th spending item mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960859" ID="v960859" format="char" dcml="0"> <location cardNo="1" StartPos="1265" width="1"/> <labl level="variable"> Pre. Public Schools in N5a-N5f [Federal Spending] </labl> <qstn> <qstnLit> Rand.N5c RANDOMIZATION Position of Public Schools in Pre questions N5a-N5f [6 Federal Spending items] ------------------------------------------------------------------- See N5a-N5f in Pre survey vars [Public School is N5c]. Codes 1-6 (1st-6th spending item mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960860" ID="v960860" format="char" dcml="0"> <location cardNo="1" StartPos="1266" width="1"/> <labl level="variable"> Pre. Dealing with Crime in N5a-N5f [Federal Spending] </labl> <qstn> <qstnLit> Rand.N5d RANDOMIZATION Position of Dealing with Crime in Pre questions N5a-N5f [6 Federal Spending items] ------------------------------------------------------------------- See N5a-N5f in Pre survey vars [Dealing with Crime is N5d]. Codes 1-6 (1st-6th spending item mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960861" ID="v960861" format="char" dcml="0"> <location cardNo="1" StartPos="1267" width="1"/> <labl level="variable"> Pre. Child Care in N5a-N5f [Federal Spending] </labl> <qstn> <qstnLit> Rand.N5e RANDOMIZATION Position of Child Care in Pre questions N5a-N5f [6 Federal Spending items] ------------------------------------------------------------------- See N5a-N5f in Pre survey vars [Child Care is N5e]. Codes 1-6 (1st-6th spending item mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960862" ID="v960862" format="char" dcml="0"> <location cardNo="1" StartPos="1268" width="1"/> <labl level="variable"> Pre. Poor People in N5a-N5f [Federal Spending] </labl> <qstn> <qstnLit> Rand.N5f RANDOMIZATION Position of Poor People in Pre questions N5a-N5f [6 Federal Spending items] ------------------------------------------------------------------- See N5a-N5f in Pre survey vars [Poor People is N5f]. Codes 1-6 (1st-6th spending item mentioned). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960900" ID="v960900" format="char" dcml="0"> <location cardNo="1" StartPos="1269" width="4"/> <labl level="variable"> Post. 1996 Post ID </labl> <qstn> <qstnLit> Process.14 1996 Post ID -------------------------------------------------------------------------------- Interviews range from 1001 to 2535 (Panel and Cross cases are not in separate series). There is a gap in the interview numbering at 2444. Cases in the range 4001-4187 are Post noninterviews or Pre only in 1996 (gaps at 4042, 4054, 4075, 4146, 4147, 4173,4186). </qstnLit> </qstn> </var> <var name="v960901" ID="v960901" format="char" dcml="0"> <location cardNo="1" StartPos="1273" width="1"/> <labl level="variable"> Post. Form of questionnaire </labl> <qstn> <qstnLit> Admin.26 Post question 'form' variable -------------------------------------------------------------------------------- This variable compares with the 'Form' variable of previous (non-CAPI) studies and describes the format of (questions included in) the instrument. The set of questions F1-F4 and the set of questions H1-H1a were each administered to a random half-sample of respondents. Half-samples were also randomly selected for administration of either the series D30-D30g or the series S30-S30g (identical questions administered in different locations within the Post instrument). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> R administered F1-F4, H1-H1a and D30 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> R administered F1-F4, H1-H1a and S30 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> R administered F1-F4 and D30 (not administered H1-H1a) </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> R administered F1-F4 and S30 (not administered H1-H1a) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> R administered H1-H1a and D30 (not administered F1-F4) </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> R administered H1-H1a and S30 (not administered F1-F4) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> R administered D30 (not administered F1-F4 or H1-H1a) </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> R administered S30 (not administered F1-F4 or H1-H1a) </txt> </catgry> </catgryGrp> </var> <var name="v960902" ID="v960902" format="char" dcml="0"> <location cardNo="1" StartPos="1274" width="2"/> <labl level="variable"> Post. Day of interview </labl> <qstn> <qstnLit> Admin.28 POST-ELECTION Day of interview ------------------------------------------------------------------------ Day of interiew 1-31 coded, except: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960903" ID="v960903" format="char" dcml="0"> <location cardNo="1" StartPos="1276" width="2"/> <labl level="variable"> Post. Month of interview </labl> <qstn> <qstnLit> Admin.29 POST ELECTION Month of interview --------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 01 </catValu> <txt level="category"> January </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> November </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960904" ID="v960904" format="char" dcml="0"> <location cardNo="1" StartPos="1278" width="2"/> <labl level="variable"> Post. Number of days since election day </labl> <qstn> <qstnLit> Admin.30 POST-ELECTION - Number of days since Election Day ----------------------------------------------------------------------------- This variable is based on the date of interview. It counts the number of days after the election day (November 5, 1996). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960905" ID="v960905" format="char" dcml="0"> <location cardNo="1" StartPos="1280" width="4"/> <labl level="variable"> Post. Beginning time (local) </labl> <qstn> <qstnLit> Admin.31 POST-ELECTION Beginning time (local) --------------------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960906" ID="v960906" format="char" dcml="0"> <location cardNo="1" StartPos="1284" width="4"/> <labl level="variable"> Post. Ending time (local) </labl> <qstn> <qstnLit> Admin.32 POST-ELECTION Ending time (local) ----------------------------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960907" ID="v960907" format="char" dcml="0"> <location cardNo="1" StartPos="1288" width="3"/> <labl level="variable"> Post. Interview length in minutes </labl> <qstn> <qstnLit> Admin.33 POST-ELECTION Interview length in minutes ----------------------------------------------------------------------------- The actual number of minutes is coded, except: 999.0. NA 000.0. Inap, no Post IW </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> </var> <var name="v960908" ID="v960908" format="char" dcml="0"> <location cardNo="1" StartPos="1291" width="2"/> <labl level="variable"> Post. Interview number </labl> <qstn> <qstnLit> Admin.34 POST-ELECTION Interview number ----------------------------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960909" ID="v960909" format="char" dcml="0"> <location cardNo="1" StartPos="1293" width="1"/> <labl level="variable"> Post. Date of beginning VQ file </labl> <qstn> <qstnLit> Admin.35 POST-ELECTION Date of Beginning VQ file ----------------------------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. In 39 cases, the early training VQ was used in error. The significant effects of this error were the following 1) absence of randomization 2) D11x instruction changed from "SHOW BALLOT CARD" to "DO NOT SHOW BALLOT CARD" 3) questions F3 and F4 skipped. In the Pre and Post randomization variables, the unrandomized order in which the questions were administered is coded for these cases, and the half-sample checkpoints identify the (unrandomized) selection or non-selection of these 39 cases for question series. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 10/14/96 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 10/30/96 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 11/11/96 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 11/14/96 </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960910" ID="v960910" format="char" dcml="0"> <location cardNo="1" StartPos="1294" width="1"/> <labl level="variable"> Post. Date of ending VQ file </labl> <qstn> <qstnLit> Admin.36 POST-ELECTION Date of Ending VQ file ----------------------------------------------------------------------------- This refers to the VQ file loaded when the interview ended. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 10/14/96 </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 10/30/96 </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 11/11/96 </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 11/14/96 </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960911" ID="v960911" format="char" dcml="0"> <location cardNo="1" StartPos="1295" width="2"/> <labl level="variable"> Post. Respondent payment amount </labl> <qstn> <qstnLit> Admin.37 POST-ELECTION - Payment amount ----------------------------------------------------------------------------- All Pre respondents were sent a check for $10.00 and a gift (message board), together with the contact letter requesting a Post interview. Note that even no-post cases (0 in this variable) were sent the payment and gift. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> $10 Respondent payment </txt> </catgry> </catgryGrp> </var> <var name="v960912" ID="v960912" format="char" dcml="0"> <location cardNo="1" StartPos="1297" width="1"/> <labl level="variable"> Post. Was the interview tape recorded </labl> <qstn> <qstnLit> Admin.38 POST-ELECTION - Was interview tape recorded ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960913" ID="v960913" format="char" dcml="0"> <location cardNo="1" StartPos="1298" width="1"/> <labl level="variable"> Post. Verification indicator </labl> <qstn> <qstnLit> Admin.39 POST-ELECTION - Verification indicator ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Not flagged for verification </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Flagged for verification </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Verified </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Verified with discrepancy </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not verified </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Unable to verify </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960914" ID="v960914" format="char" dcml="0"> <location cardNo="1" StartPos="1299" width="1"/> <labl level="variable"> Post. Evaluation indicator </labl> <qstn> <qstnLit> Admin.40 POST-ELECTION - Evaluation indicator ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> Interview not evaluated </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Interview evaluated by supervisor </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Interview evaluated by team leader </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960915" ID="v960915" format="char" dcml="0"> <location cardNo="1" StartPos="1300" width="1"/> <labl level="variable"> Post. Refusal conversion indicator </labl> <qstn> <qstnLit> Admin.41 POST-ELECTION - Refusal conversion indicator ----------------------------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Refusal conversion attempted </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not a refusal conversion situation </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960916" ID="v960916" format="char" dcml="0"> <location cardNo="1" StartPos="1301" width="1"/> <labl level="variable"> Post. Was R sent a persuasion letter </labl> <qstn> <qstnLit> Admin.42 POST-ELECTION - Was persuasion letter sent? ----------------------------------------------------------------------------- One form of general persuasion letter was sent to all respondents. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Persuasion letter was sent to R </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No persuasion letter was sent to R </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960917" ID="v960917" format="char" dcml="0"> <location cardNo="1" StartPos="1302" width="2"/> <labl level="variable"> Post. Type of persuasion letter sent to R </labl> <qstn> <qstnLit> Admin.43 POST-ELECTION - Number of telephone calls ----------------------------------------------------------------------------- Number of calls is coded, except: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="96"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 96 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960918" ID="v960918" format="char" dcml="0"> <location cardNo="1" StartPos="1304" width="2"/> <labl level="variable"> Post. Number of telephone calls </labl> <qstn> <qstnLit> Admin.44 POST-ELECTION - Number of face to face calls ----------------------------------------------------------------------------- Number of calls is coded, except: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="96"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 96 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960919" ID="v960919" format="char" dcml="0"> <location cardNo="1" StartPos="1306" width="2"/> <labl level="variable"> Post. Number of face to face calls </labl> <qstn> <qstnLit> Admin.45 POST-ELECTION - Total number of calls (Phone + FtF) ----------------------------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the"number of calls" variable in past studies. Number of calls coded, except: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960920" ID="v960920" format="char" dcml="0"> <location cardNo="1" StartPos="1308" width="2"/> <labl level="variable"> Post. Total number of calls (phone + FtF) </labl> <qstn> <qstnLit> Admin.46 POST-ELECTION - Final result code ----------------------------------------------------------------------------- </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 1 </catValu> <txt level="category"> Interview, complete </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Interview, partial </txt> </catgry> <catgry> <catValu> 51 </catValu> <txt level="category"> Noninterview: refusal by R </txt> </catgry> <catgry> <catValu> 52 </catValu> <txt level="category"> Noninterview: refusal by someone other than R </txt> </catgry> <catgry> <catValu> 61 </catValu> <txt level="category"> Noninterview: no contact </txt> </catgry> <catgry> <catValu> 63 </catValu> <txt level="category"> Noninterview: permanent condition </txt> </catgry> <catgry> <catValu> 67 </catValu> <txt level="category"> Noninterview: other reason </txt> </catgry> </catgryGrp> </var> <var name="v960921" ID="v960921" format="char" dcml="0"> <location cardNo="1" StartPos="1310" width="1"/> <labl level="variable"> Post. Final result on interview </labl> <qstn> <qstnLit> Admin.47 POST-ELECTION - Beginning mode, personal or telephone ----------------------------------------------------------------------------- This is the mode when interview began </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Personal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Telephone </txt> </catgry> </catgryGrp> </var> <var name="v960922" ID="v960922" format="char" dcml="0"> <location cardNo="1" StartPos="1311" width="1"/> <labl level="variable"> Post. Beginning mode of interview </labl> <qstn> <qstnLit> Admin.48 SUMMARY - POST MODE ASSIGNMENT AND ADMINISTRATION ----------------------------------------------------------------------------- Post mode in this variable refers to beginning mode (question Admin.48). </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Assigned to personal, administered as personal IW </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Assigned to personal, administered as telephone IW </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Assigned to telephone, administered as personal IW </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Assigned to telephone, administered as telephone IW </txt> </catgry> </catgryGrp> </var> <var name="v960923" ID="v960923" format="char" dcml="0"> <location cardNo="1" StartPos="1312" width="1"/> <labl level="variable"> Post. Ending mode of interview </labl> <qstn> <qstnLit> Admin.49 POST-ELECTION - Ending mode, personal or telephone -------------------------------------------------------------------------------- This is the mode when interview ended. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Personal </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Telephone </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960924" ID="v960924" format="char" dcml="0"> <location cardNo="1" StartPos="1313" width="1"/> <labl level="variable"> Post. R live at same address </labl> <qstn> <qstnLit> CSheet.25. POST-ELECTION COVERSHEET, CS Item 1. Does R still live at the address on sample label -------------------------------------------------------------------------- The address in the label for the Panel respondents reflected our knowledge of their whereabouts right before the field period. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960925" ID="v960925" format="char" dcml="0"> <location cardNo="1" StartPos="1314" width="1"/> <labl level="variable"> Post. R name/birth/gender same </labl> <qstn> <qstnLit> CSheet.26. POST-ELECTION COVERSHEET,CS Item 4. I need to verify that your full name is [Name of Respondent]. I also need to verify that you were born on [Birth month and year]. R NAME, BIRTH, AND GENDER ARE: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Identical to Sample Label </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not identical </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960926" ID="v960926" format="char" dcml="0"> <location cardNo="1" StartPos="1315" width="1"/> <labl level="variable"> Post. Type of structure in which R lives </labl> <qstn> <qstnLit> CSheet.27. POST-ELECTION COVERSHEET, CS Item 5. Describe the type of structure in which the respondent lives ----------------------------------------------------------------------------- Note that in some telephone cases the interviewer was still able to make this observation during the calls made. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Phone case and no observation made </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Mobile home </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Detached single family </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Multi-family </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Apartment house </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Condo complex </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960927" ID="v960927" format="char" dcml="0"> <location cardNo="1" StartPos="1316" width="1"/> <labl level="variable"> Post. Did R refuse initially </labl> <qstn> <qstnLit> CSheet.28. POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6c. Did R refuse initially? ----------------------------------------------------------------------------- An error in the skip logic was printed on Post paper coversheets, and in many interview cases items 6c and 6d were not completed by the interviewer. An attempt was made to recover information by reviewing call record information for cases which were missing data in these 2 variables. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960928" ID="v960928" format="char" dcml="0"> <location cardNo="1" StartPos="1317" width="1"/> <labl level="variable"> Post. Did R break any appointments </labl> <qstn> <qstnLit> CSheet.29 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6d. Did R break any appointment? ----------------------------------------------------------------------------- An error in the skip logic was printed on Post paper coversheets, and in many interview cases items CD3c and CD3d were not completed by the interviewer. An attempt was made to recover information by reviewing call record information for cases which were missing data in these 2 variables. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two or more </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA ; Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960929" ID="v960929" format="char" dcml="0"> <location cardNo="1" StartPos="1318" width="1"/> <labl level="variable"> Post. Was there resistance from this person </labl> <qstn> <qstnLit> CSheet.30 IF R HAS MADE CONTACT WITH SOMEONE AT THE HOUSHOLD UNIT/ PHONE NUMBER: POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6a. Was there resistance from this person? ----------------------------------------------------------------------------- This question can refer to resistance from anyone contacted at the HU. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960930" ID="v960930" format="char" dcml="0"> <location cardNo="1" StartPos="1319" width="1"/> <labl level="variable"> Post. Reason for resistance - waste of time/bad experience </labl> <qstn> <qstnLit> CSheet.31 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960931" ID="v960931" format="char" dcml="0"> <location cardNo="1" StartPos="1320" width="1"/> <labl level="variable"> Post. Reason for resistance - very ill </labl> <qstn> <qstnLit> CSheet.32 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960932" ID="v960932" format="char" dcml="0"> <location cardNo="1" StartPos="1321" width="1"/> <labl level="variable"> Post. Reason for resistance - too busy </labl> <qstn> <qstnLit> CSheet.33 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960933" ID="v960933" format="char" dcml="0"> <location cardNo="1" StartPos="1322" width="1"/> <labl level="variable"> Post. Reason for resistance - stressful family situation </labl> <qstn> <qstnLit> CSheet.34 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960934" ID="v960934" format="char" dcml="0"> <location cardNo="1" StartPos="1323" width="1"/> <labl level="variable"> Post. Reason for resistance - confidentiality </labl> <qstn> <qstnLit> CSheet.35 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960935" ID="v960935" format="char" dcml="0"> <location cardNo="1" StartPos="1324" width="1"/> <labl level="variable"> Post. Reason for resistance - invasion of privacy </labl> <qstn> <qstnLit> CSheet.36 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960936" ID="v960936" format="char" dcml="0"> <location cardNo="1" StartPos="1325" width="1"/> <labl level="variable"> Post. Reason for resistance - no reason given </labl> <qstn> <qstnLit> CSheet.37 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(7). If there was any resistance from the R, what reasons were given: . . . (G) No reason given ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960937" ID="v960937" format="char" dcml="0"> <location cardNo="1" StartPos="1326" width="1"/> <labl level="variable"> Post. Reason for resistance - other </labl> <qstn> <qstnLit> CSheet.38 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Marked </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not marked </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960938" ID="v960938" format="char" dcml="0"> <location cardNo="1" StartPos="1327" width="2"/> <labl level="variable"> Post. Others present at the interview </labl> <qstn> <qstnLit> CSheet.39 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z1. Other persons present at the interview were (CHECK ALL THAT APPLY): ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> No one (NO OTHER BOX CHECKED) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Children under 6 only </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Older children only </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Children under 6 and older chldren </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Spouse only </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Spouse and children under 6 </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Spouse and older children </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> Spouse, children under 6, older children </txt> </catgry> <catgry> <catValu> 9 </catValu> <txt level="category"> Other relatives only </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Other relatives and children under 6 </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Other relatives and older children </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Other relatives, children under 6, older children </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Other relatives and spouse </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Other relatives, spouse, children under 6 </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Other relatives, spouse, older children </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Other relatives, spouse, children under 6, older children </txt> </catgry> <catgry> <catValu> 17 </catValu> <txt level="category"> Other adults only </txt> </catgry> <catgry> <catValu> 18 </catValu> <txt level="category"> Other adults and children under 6 </txt> </catgry> <catgry> <catValu> 19 </catValu> <txt level="category"> Other adults and older children </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> Other adults, children under 6, older children </txt> </catgry> <catgry> <catValu> 21 </catValu> <txt level="category"> Other adults and spouse </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> Other adults, spouse, children under 6 </txt> </catgry> <catgry> <catValu> 23 </catValu> <txt level="category"> Other adults, spouse, older children </txt> </catgry> <catgry> <catValu> 24 </catValu> <txt level="category"> Other adults, spouse, children under 6 , older children </txt> </catgry> <catgry> <catValu> 25 </catValu> <txt level="category"> Other adults and other relatives </txt> </catgry> <catgry> <catValu> 26 </catValu> <txt level="category"> Other adults, other relatives, children under 6 </txt> </catgry> <catgry> <catValu> 27 </catValu> <txt level="category"> Other adults, other relatives, older children </txt> </catgry> <catgry> <catValu> 28 </catValu> <txt level="category"> Other adults, other relatives, children under 6, older children </txt> </catgry> <catgry> <catValu> 29 </catValu> <txt level="category"> Other adults, other relatives, spouse </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Other adults, other relatives, spouse, children under 6 </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Other adults, other relatives, spouse, older children </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960939" ID="v960939" format="char" dcml="0"> <location cardNo="1" StartPos="1329" width="1"/> <labl level="variable"> Post. R's level of cooperation </labl> <qstn> <qstnLit> CSheet.40 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z2. R's cooperation was: ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very good </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Good </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Fair </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Poor </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very poor </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960940" ID="v960940" format="char" dcml="0"> <location cardNo="1" StartPos="1330" width="1"/> <labl level="variable"> Post. R's level of information about politics </labl> <qstn> <qstnLit> CSheet.41 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z3. R's general level of information about politics and public affairs seemed: ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very high </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly high </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Average </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Fairly low </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very low </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960941" ID="v960941" format="char" dcml="0"> <location cardNo="1" StartPos="1331" width="1"/> <labl level="variable"> Post. R's apparent intelligence </labl> <qstn> <qstnLit> CSheet.42 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z4. Rate R's apparent intelligence: ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very high </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly high </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Average </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Fairly low </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very low </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960942" ID="v960942" format="char" dcml="0"> <location cardNo="1" StartPos="1332" width="1"/> <labl level="variable"> Post. R's suspiciousness </labl> <qstn> <qstnLit> CSheet.43 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z5. How suspicious did R seem to be about the study, before the interview? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Not at all suspicious </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat suspicious </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very suspicious </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960943" ID="v960943" format="char" dcml="0"> <location cardNo="1" StartPos="1333" width="1"/> <labl level="variable"> Post. R's interest in interview </labl> <qstn> <qstnLit> CSheet.44 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z6. Overall, how great was R's interest in the interview? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very high </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Above average </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Average </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Below average </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Very low </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960944" ID="v960944" format="char" dcml="0"> <location cardNo="1" StartPos="1334" width="1"/> <labl level="variable"> Post. R's sincerity </labl> <qstn> <qstnLit> CSheet.45 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z7. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Completely sincere </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Usually sincere </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Often seemed to be insincere </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960945" ID="v960945" format="char" dcml="0"> <location cardNo="1" StartPos="1335" width="2"/> <labl level="variable"> Post. #1 reaction to interview </labl> <qstn> <qstnLit> CSheet.46 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <1st mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="98"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> <catgry> <catValu> 80 </catValu> <txt level="category"> Neutral or no feedback (1st mention only) </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960946" ID="v960946" format="char" dcml="0"> <location cardNo="1" StartPos="1337" width="2"/> <labl level="variable"> Post. #2 reaction to interview </labl> <qstn> <qstnLit> CSheet.47 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <2nd mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960947" ID="v960947" format="char" dcml="0"> <location cardNo="1" StartPos="1339" width="2"/> <labl level="variable"> Post. #3 reaction to interview </labl> <qstn> <qstnLit> CSheet.48 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <3rd mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960948" ID="v960948" format="char" dcml="0"> <location cardNo="1" StartPos="1341" width="2"/> <labl level="variable"> Post. #4 reaction to interview </labl> <qstn> <qstnLit> CSheet.49 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <4th mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960949" ID="v960949" format="char" dcml="0"> <location cardNo="1" StartPos="1343" width="2"/> <labl level="variable"> Post. #5 reaction to interview </labl> <qstn> <qstnLit> CSheet.50 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <5th mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960950" ID="v960950" format="char" dcml="0"> <location cardNo="1" StartPos="1345" width="2"/> <labl level="variable"> Post. #6 reaction to interview </labl> <qstn> <qstnLit> CSheet.51 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <6th mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960951" ID="v960951" format="char" dcml="0"> <location cardNo="1" StartPos="1347" width="2"/> <labl level="variable"> Post. #7 reaction to interview </labl> <qstn> <qstnLit> CSheet.52 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <7th mention> ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960952" ID="v960952" format="char" dcml="0"> <location cardNo="1" StartPos="1349" width="2"/> <labl level="variable"> Post. #8 reaction to interview </labl> <qstn> <qstnLit> CSheet.53 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <8th mention> ----------------------------------------------------------------------------- Note that 8 was the maximum number of reactions recorded by Post interviewers. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no Post IW; no further mention </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Negative - general </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Negative - too long </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Negative - too complicated </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Negative - boring/tedious/repetitious </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed </txt> </catgry> <catgry> <catValu> 20 </catValu> <txt level="category"> R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 22 </catValu> <txt level="category"> R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation </txt> </catgry> <catgry> <catValu> 40 </catValu> <txt level="category"> R was agitated or stressed by interview process </txt> </catgry> <catgry> <catValu> 41 </catValu> <txt level="category"> R became angry at interview CONTENT </txt> </catgry> <catgry> <catValu> 45 </catValu> <txt level="category"> R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. </txt> </catgry> <catgry> <catValu> 50 </catValu> <txt level="category"> R could not read Respondent Booklet </txt> </catgry> <catgry> <catValu> 70 </catValu> <txt level="category"> R appeared to enjoy the interview (R was "cooperative"/"interested"/"pleasant," etc.) </txt> </catgry> </catgryGrp> </var> <var name="v960953" ID="v960953" format="char" dcml="0"> <location cardNo="1" StartPos="1351" width="4"/> <labl level="variable"> Post. Interviewer of record ID </labl> <qstn> <qstnLit> IWR.10 Post Interviewer of record ID ----------------------------------------------------------------------------- Interviewer's 4-digit ID and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9998"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960954" ID="v960954" format="char" dcml="0"> <location cardNo="1" StartPos="1355" width="4"/> <labl level="variable"> Post. Field supervisor ID </labl> <qstn> <qstnLit> IWR.13 Post Supervisor ID ----------------------------------------------------------------------------- Field Supervisor's 4-digit ID and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9999"/> </invalrng> <catgryGrp> <catgry> <catValu> 0000 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960955" ID="v960955" format="char" dcml="0"> <location cardNo="1" StartPos="1359" width="1"/> <labl level="variable"> Post. Interviewer gender </labl> <qstn> <qstnLit> IWR.14 Post Interviewer gender ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Male </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Female </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960956" ID="v960956" format="char" dcml="0"> <location cardNo="1" StartPos="1360" width="1"/> <labl level="variable"> Post. Interviewer education </labl> <qstn> <qstnLit> IWR.15 Post Interviewer education ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 1-8 grades </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Some high school </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> High school graduate </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Some college </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> College degree </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Master's degree </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> PhD </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960957" ID="v960957" format="char" dcml="0"> <location cardNo="1" StartPos="1361" width="1"/> <labl level="variable"> Post. Interviewer race </labl> <qstn> <qstnLit> IWR.16 Post Interviewer race ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> White </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Black </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Native American </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Asian </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v960958" ID="v960958" format="char" dcml="0"> <location cardNo="1" StartPos="1362" width="1"/> <labl level="variable"> Post. Interviewer ethnicity </labl> <qstn> <qstnLit> IWR.17 Post Interviewer ethnicicty ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No ethnic identity coded </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Hispanic </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA ; Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960959" ID="v960959" format="char" dcml="0"> <location cardNo="1" StartPos="1363" width="1"/> <labl level="variable"> Post. Interviewer languages </labl> <qstn> <qstnLit> IWR.18 Post Interviewer languages ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> English (only) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Spanish </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA ; Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960960" ID="v960960" format="char" dcml="0"> <location cardNo="1" StartPos="1364" width="2"/> <labl level="variable"> Post. Interviewer experience </labl> <qstn> <qstnLit> IWR.19 Post Interviewer experience ----------------------------------------------------------------------------- Interviewer's years of experience, and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="99"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v960961" ID="v960961" format="char" dcml="0"> <location cardNo="1" StartPos="1366" width="1"/> <labl level="variable"> Post. Interviewer age </labl> <qstn> <qstnLit> IWR.20 Post interviewer age (bracketed) ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> 18-34 years </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> 35-40 years </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 41-45 years </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 46-50 years </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 51-55 years </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> 56-60 years </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> 61-64 years </txt> </catgry> <catgry> <catValu> 8 </catValu> <txt level="category"> 65-79 years </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961001" ID="v961001" format="char" dcml="0"> <location cardNo="1" StartPos="1367" width="1"/> <labl level="variable"> Post. R's interest in the political campaign </labl> <qstn> <qstnLit> A1 Some people don't pay much attention to political campaigns. How about you? Would you say that you were very much interested, somewhat interested, or not much interested in following the political campaigns this year? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very much interested </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Somewhat interested </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not much interested </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961002" ID="v961002" format="char" dcml="0"> <location cardNo="1" StartPos="1368" width="1"/> <labl level="variable"> Post. Did R watch any programs about the campaign </labl> <qstn> <qstnLit> A2 Did you watch any programs about the campaign on television? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961003" ID="v961003" format="char" dcml="0"> <location cardNo="1" StartPos="1369" width="1"/> <labl level="variable"> Post. Amount of programs R watched about the campaign </labl> <qstn> <qstnLit> A2a IF R WATCHED PROGRAMS ABOUT THE CAMPAIGNS ON TV: Would you say you watched a good many, several, or just one or two? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A2; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> A good many </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Several </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Just one or two </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961004" ID="v961004" format="char" dcml="0"> <location cardNo="1" StartPos="1370" width="1"/> <labl level="variable"> Post. Did R discuss politics with family/friends </labl> <qstn> <qstnLit> A3 Do you ever discuss politics with your family or friends? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961005" ID="v961005" format="char" dcml="0"> <location cardNo="1" StartPos="1371" width="1"/> <labl level="variable"> Post. Frequency of political discussion w/ friends/family </labl> <qstn> <qstnLit> A3a IF R DISCUSSES POLITICS WITH FAMILY OR FRIENDS: How many days in the past week did you talk about politics with family or friends? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="8"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> None </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> One day </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Two days </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Three days </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Four days </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Five days </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> Six days </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Every day </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; Inap, 5,8,9 in A3; no post IW </txt> </catgry> </catgryGrp> </var> <var name="v961006" ID="v961006" format="char" dcml="0"> <location cardNo="1" StartPos="1372" width="1"/> <labl level="variable"> Post. Does R recall names of congressional candidates </labl> <qstn> <qstnLit> A4 Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who ran in the November election from this district? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961007" ID="v961007" format="char" dcml="0"> <location cardNo="1" StartPos="1373" width="2"/> <labl level="variable"> Post. #1 recall - code </labl> <qstn> <qstnLit> A4a(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: "Any others?"] 1ST RECALLED NAME ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; Washington DC </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name given not on candidate list for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961008" ID="v961008" format="char" dcml="0"> <location cardNo="1" StartPos="1375" width="1"/> <labl level="variable"> Post. #1 recall - party </labl> <qstn> <qstnLit> A4b(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED CANDIDATE ----------------------------------------------------------------------------- This codes the party which R identified in association with name recalled. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other party (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961009" ID="v961009" format="char" dcml="0"> <location cardNo="1" StartPos="1376" width="1"/> <labl level="variable"> Post. #1 recall - actual party </labl> <qstn> <qstnLit> A4c(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 1ST RECALLED CANDIDATE ----------------------------------------------------------------------------- Built from A4a(1). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on candidate list (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961010" ID="v961010" format="char" dcml="0"> <location cardNo="1" StartPos="1377" width="1"/> <labl level="variable"> Post. #1 recall - summary </labl> <qstn> <qstnLit> A4x(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 1ST RECALL ACCURACY ----------------------------------------------------------------------------- Built from A4a(1), A4b(1). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Valid candidate name given and correct party associated with name </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Valid candidate name given but incorrect party associated with name </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Valid candidate name given, with name DK or NA for party associated </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Invalid candidate name given with any mention of party associated with name </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Invalid candidate name given with DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> No candidate name given (DK or NA) - any party mention </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> No candidate name given (DK), DK or NA for party mention (first mention only) No candidate name mentioned (NA), DK for party mention (first mention only) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA for candidate name and NA for party mention </txt> </catgry> </catgryGrp> </var> <var name="v961011" ID="v961011" format="char" dcml="0"> <location cardNo="1" StartPos="1378" width="2"/> <labl level="variable"> Post. #2 recall - code </labl> <qstn> <qstnLit> A4a(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] 2ND RECALLED NAME ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name given not on candidate list for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961012" ID="v961012" format="char" dcml="0"> <location cardNo="1" StartPos="1380" width="1"/> <labl level="variable"> Post. #2 recall - party </labl> <qstn> <qstnLit> A4b(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What was [NAME'S] party? RECALLED PARTY OF 2ND RECALLED CANDIDATE ----------------------------------------------------------------------------- This codes the party which R identified in association with name recalled. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other party (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961013" ID="v961013" format="char" dcml="0"> <location cardNo="1" StartPos="1381" width="1"/> <labl level="variable"> Post. #2 recall - actual party </labl> <qstn> <qstnLit> A4c(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 2ND RECALLED CANDIDATE ----------------------------------------------------------------------------- Built from A4a(2). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on candidate list (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961014" ID="v961014" format="char" dcml="0"> <location cardNo="1" StartPos="1382" width="1"/> <labl level="variable"> Post. #2 recall - summary </labl> <qstn> <qstnLit> A4x(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 2ND RECALL ACCURACY ----------------------------------------------------------------------------- Built from A4a(2), A4b(2). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Valid candidate name given and correct party associated with name </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Valid candidate name given but incorrect party associated with name </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Valid candidate name given, DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Invalid candidate name given with any mention of party associated with name </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Invalid candidate name given with DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> No candidate name given (DK or NA) - any party mention </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA for candidate name and NA for party mention </txt> </catgry> </catgryGrp> </var> <var name="v961015" ID="v961015" format="char" dcml="0"> <location cardNo="1" StartPos="1383" width="2"/> <labl level="variable"> Post. #3 recall - code </labl> <qstn> <qstnLit> A4a(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] 3RD RECALLED NAME ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name given not on candidate list for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961016" ID="v961016" format="char" dcml="0"> <location cardNo="1" StartPos="1385" width="1"/> <labl level="variable"> Post. #3 recall - party </labl> <qstn> <qstnLit> A4b(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What was [NAME'S] party? RECALLED PARTY OF 3RD RECALLED CANDIDATE ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democrat </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other party (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961017" ID="v961017" format="char" dcml="0"> <location cardNo="1" StartPos="1386" width="1"/> <labl level="variable"> Post. #3 recall - actual party </labl> <qstn> <qstnLit> A4c(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 3RD RECALLED CANDIDATE ----------------------------------------------------------------------------- Built from A4a(3). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on candidate list (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961018" ID="v961018" format="char" dcml="0"> <location cardNo="1" StartPos="1387" width="1"/> <labl level="variable"> Post. #3 recall - summary </labl> <qstn> <qstnLit> A4x(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 3RD RECALL ACCURACY ----------------------------------------------------------------------------- Built from A4a(3), A4b(3). </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 5,8,9 in A4; no post IW; no further mention </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Valid candidate name given and correct party associated with name </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Valid candidate name given but incorrect party associated with name </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Valid candidate name given, DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Invalid candidate name given with any mention of party associated with name </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Invalid candidate name given with DK or NA for party associated with name </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> No candidate name given (DK or NA) - any party mention </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA for candidate name and NA for party mention </txt> </catgry> </catgryGrp> </var> <var name="v961019" ID="v961019" format="char" dcml="0"> <location cardNo="1" StartPos="1388" width="3"/> <labl level="variable"> Post. Feeling thermometer - Bill Clinton </labl> <qstn> <qstnLit> B1 Please look at page 1 of the booklet. I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward that person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particular warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. B1a [RB] (How would you rate) BILL CLINTON? BILL CLINTON THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961020" ID="v961020" format="char" dcml="0"> <location cardNo="1" StartPos="1391" width="3"/> <labl level="variable"> Post. Feeling thermometer - Bob Dole </labl> <qstn> <qstnLit> B1b [RB] (How would you rate) BOB DOLE BOB DOLE THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961021" ID="v961021" format="char" dcml="0"> <location cardNo="1" StartPos="1394" width="3"/> <labl level="variable"> Post. Feeling thermometer - Ross Perot </labl> <qstn> <qstnLit> B1c [RB] (How would you rate) ROSS PEROT ROSS PEROT THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961022" ID="v961022" format="char" dcml="0"> <location cardNo="1" StartPos="1397" width="3"/> <labl level="variable"> Post. Feeling thermometer - Democratic House Candidate </labl> <qstn> <qstnLit> B1a1 [RB] (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of names House candidate names B1a1-B1b1 was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Democratic House candidate (type race 24); Washington DC; no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961023" ID="v961023" format="char" dcml="0"> <location cardNo="1" StartPos="1400" width="3"/> <labl level="variable"> Post. Feeling thermometer - Republican House Candidate </labl> <qstn> <qstnLit> B1b1 [RB] (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of names House candidate names B1a1-B1b1 was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Republican House candidate (type race 14); Washington DC; no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961024" ID="v961024" format="char" dcml="0"> <location cardNo="1" StartPos="1403" width="3"/> <labl level="variable"> Post. Feeling thermometer - Retiring House Candidate </labl> <qstn> <qstnLit> B1c1 [RB] (How would you rate) [NAME #41,#42]? RETIRING HOUSE REPRESENTATIVE THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Retiring House Representative was always 6th name administered (not randomized). Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no retiring House representative (type race 12,14,21,24); Washington DC; no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961025" ID="v961025" format="char" dcml="0"> <location cardNo="1" StartPos="1406" width="3"/> <labl level="variable"> Post. Feeling thermometer - Supreme Court </labl> <qstn> <qstnLit> B1d [RB] (Still using the thermometer how would you rate) THE SUPREME COURT SUPREME COURT - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961026" ID="v961026" format="char" dcml="0"> <location cardNo="1" StartPos="1409" width="3"/> <labl level="variable"> Post. Feeling thermometer - Congress </labl> <qstn> <qstnLit> B1e [RB] (How would you rate) CONGRESS CONGRESS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961027" ID="v961027" format="char" dcml="0"> <location cardNo="1" StartPos="1412" width="3"/> <labl level="variable"> Post. Feeling thermometer - The military </labl> <qstn> <qstnLit> B1f [RB] (How would you rate) THE MILITARY THE MILITARY - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961028" ID="v961028" format="char" dcml="0"> <location cardNo="1" StartPos="1415" width="3"/> <labl level="variable"> Post. Feeling thermometer - Federal government </labl> <qstn> <qstnLit> B1g [RB] (How would you rate) THE FEDERAL GOVERNMENT IN WASHINGTON FEDERAL GOVERNMENT IN WASHINGTON - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961029" ID="v961029" format="char" dcml="0"> <location cardNo="1" StartPos="1418" width="3"/> <labl level="variable"> Post. Feeling thermometer - blacks </labl> <qstn> <qstnLit> B1h [RB] (How would you rate) BLACKS BLACKS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961030" ID="v961030" format="char" dcml="0"> <location cardNo="1" StartPos="1421" width="3"/> <labl level="variable"> Post. Feeling thermometer - whites </labl> <qstn> <qstnLit> B1j [RB] (How would you rate) WHITES WHITES - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961031" ID="v961031" format="char" dcml="0"> <location cardNo="1" StartPos="1424" width="3"/> <labl level="variable"> Post. Feeling thermometer - conservatives </labl> <qstn> <qstnLit> B1k [RB] (How would you rate) CONSERVATIVES CONSERVATIVES - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961032" ID="v961032" format="char" dcml="0"> <location cardNo="1" StartPos="1427" width="3"/> <labl level="variable"> Post. Feeling thermometer - liberals </labl> <qstn> <qstnLit> B1L [RB] (How would you rate) LIBERALS LIBERALS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961033" ID="v961033" format="char" dcml="0"> <location cardNo="1" StartPos="1430" width="3"/> <labl level="variable"> Post. Feeling thermometer - labor unions </labl> <qstn> <qstnLit> B1m [RB] (How would you rate) LABOR UNIONS LABOR UNIONS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961034" ID="v961034" format="char" dcml="0"> <location cardNo="1" StartPos="1433" width="3"/> <labl level="variable"> Post. Feeling thermometer - big business </labl> <qstn> <qstnLit> B1n [RB] (How would you rate) BIG BUSINESS BIG BUSINESS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961035" ID="v961035" format="char" dcml="0"> <location cardNo="1" StartPos="1436" width="3"/> <labl level="variable"> Post. Feeling thermometer - poor people </labl> <qstn> <qstnLit> B1p [RB] (How would you rate) POOR PEOPLE POOR PEOPLE - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961036" ID="v961036" format="char" dcml="0"> <location cardNo="1" StartPos="1439" width="3"/> <labl level="variable"> Post. Feeling thermometer - people on welfare </labl> <qstn> <qstnLit> B1q [RB] (How would you rate) PEOPLE ON WELFARE PEOPLE ON WELFARE - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961037" ID="v961037" format="char" dcml="0"> <location cardNo="1" StartPos="1442" width="3"/> <labl level="variable"> Post. Feeling thermometer - Hispanics </labl> <qstn> <qstnLit> B1r (How would you rate) HISPANICS (HISPANIC-AMERICANS) HISPANICS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961038" ID="v961038" format="char" dcml="0"> <location cardNo="1" StartPos="1445" width="3"/> <labl level="variable"> Post. Feeling thermometer - Christian fundamentalists </labl> <qstn> <qstnLit> B1s [RB] (How would you rate) CHRISTIAN FUNDAMENTALISTS CHRISTIAN FUNDAMENTALISTS- THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961039" ID="v961039" format="char" dcml="0"> <location cardNo="1" StartPos="1448" width="3"/> <labl level="variable"> Post. Feeling thermometer - the women's movement </labl> <qstn> <qstnLit> B1t [RB] (How would you rate) THE WOMEN'S MOVEMENT THE WOMEN'S MOVEMENT- THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961040" ID="v961040" format="char" dcml="0"> <location cardNo="1" StartPos="1451" width="3"/> <labl level="variable"> Post. Feeling thermometer - older people </labl> <qstn> <qstnLit> B1u [RB] (How would you rate) OLDER PEOPLE (THE ELDERLY) OLDER PEOPLE- THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961041" ID="v961041" format="char" dcml="0"> <location cardNo="1" StartPos="1454" width="3"/> <labl level="variable"> Post. Feeling thermometer - environmentalists </labl> <qstn> <qstnLit> B1v [RB] (How would you rate) ENVIRONMENTALISTS ENVIRONMENTALISTS- THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961042" ID="v961042" format="char" dcml="0"> <location cardNo="1" StartPos="1457" width="3"/> <labl level="variable"> Post. Feeling thermometer - gay men and lesbians </labl> <qstn> <qstnLit> B1w [RB] (How would you rate) GAY MEN AND LESBIANS, HOMOSEXUALS GAY MEN AND LESBIANS - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961043" ID="v961043" format="char" dcml="0"> <location cardNo="1" StartPos="1460" width="3"/> <labl level="variable"> Post. Feeling thermometer - the Christian coalition </labl> <qstn> <qstnLit> B1x [RB] (How would you rate) THE CHRISTIAN COALITION THE CHRISTIAN COALITION - THERMOMETER RATING ----------------------------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="996"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="996"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 996 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 997 </catValu> <txt level="category"> R doesn't recognize name </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK where to rate; can't judge </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961044" ID="v961044" format="char" dcml="0"> <location cardNo="1" StartPos="1463" width="1"/> <labl level="variable"> Post. Was there anything R liked about Dem House candidate </labl> <qstn> <qstnLit> C1 (Next I would like to ask you some questions about the candidates who ran in this district for the U.S. House of Representatives.) Was there anything in particular that you liked about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------------------------- Introductory sentence precedes question text only if first name. Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Democratic House candidate (type race 24); Washington DC; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> "I don't know anything about this candidate" </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961045" ID="v961045" format="char" dcml="0"> <location cardNo="1" StartPos="1464" width="4"/> <labl level="variable"> Post. #1 mention - R like of Democratic House candidate </labl> <qstn> <qstnLit> C1a(1) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 1] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C1; no Democratic House candidate (type race 24); Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 8888 </catValu> <txt level="category"> NA </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> </catgryGrp> </var> <var name="v961046" ID="v961046" format="char" dcml="0"> <location cardNo="1" StartPos="1468" width="4"/> <labl level="variable"> Post. #2 mention - R like of Democratic House candidate </labl> <qstn> <qstnLit> C1a(2) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 2] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW </txt> </catgry> </catgryGrp> </var> <var name="v961047" ID="v961047" format="char" dcml="0"> <location cardNo="1" StartPos="1472" width="4"/> <labl level="variable"> Post. #3 mention - R like of Democratic House candidate </labl> <qstn> <qstnLit> C1a(3) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 3] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW </txt> </catgry> </catgryGrp> </var> <var name="v961048" ID="v961048" format="char" dcml="0"> <location cardNo="1" StartPos="1476" width="4"/> <labl level="variable"> Post. #4 mention - R like of Democratic House candidate </labl> <qstn> <qstnLit> C1a(4) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 4] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW </txt> </catgry> </catgryGrp> </var> <var name="v961049" ID="v961049" format="char" dcml="0"> <location cardNo="1" StartPos="1480" width="4"/> <labl level="variable"> Post. #5 mention - R like of Democratic House candidate </labl> <qstn> <qstnLit> C1a(5) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 5] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW </txt> </catgry> </catgryGrp> </var> <var name="v961050" ID="v961050" format="char" dcml="0"> <location cardNo="1" StartPos="1484" width="1"/> <labl level="variable"> Post. Was there anything R disliked about Dem House candidate </labl> <qstn> <qstnLit> C2 Was there anything in particular that you didn't like about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 7 in C1; no Democratic House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961051" ID="v961051" format="char" dcml="0"> <location cardNo="1" StartPos="1485" width="4"/> <labl level="variable"> Post. #1 mention - R dislike of Democratic House candidate </labl> <qstn> <qstnLit> C2a(1) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C1; 5,8,9 in C2; no Democratic House candidate (type race 14); Washington DC; no post IW; </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961052" ID="v961052" format="char" dcml="0"> <location cardNo="1" StartPos="1489" width="4"/> <labl level="variable"> Post. #2 mention - R dislike of Democratic House candidate </labl> <qstn> <qstnLit> C2a(2) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; </txt> </catgry> </catgryGrp> </var> <var name="v961053" ID="v961053" format="char" dcml="0"> <location cardNo="1" StartPos="1493" width="4"/> <labl level="variable"> Post. #3 mention - R dislike of Democratic House candidate </labl> <qstn> <qstnLit> C2a(3) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; </txt> </catgry> </catgryGrp> </var> <var name="v961054" ID="v961054" format="char" dcml="0"> <location cardNo="1" StartPos="1497" width="4"/> <labl level="variable"> Post. #4 mention - R dislike of Democratic House candidate </labl> <qstn> <qstnLit> C2a(4) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; </txt> </catgry> </catgryGrp> </var> <var name="v961055" ID="v961055" format="char" dcml="0"> <location cardNo="1" StartPos="1501" width="3"/> <labl level="variable"> Post. #5 mention - R dislike of Democratic House candidate </labl> <qstn> <qstnLit> C2a(5) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; </txt> </catgry> </catgryGrp> </var> <var name="v961056" ID="v961056" format="char" dcml="0"> <location cardNo="1" StartPos="1504" width="1"/> <labl level="variable"> Post. Was there anything R liked about Repub House candidate </labl> <qstn> <qstnLit> C3 Was there anything in particular that you liked about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> "I don't know anything about this candidate" </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961057" ID="v961057" format="char" dcml="0"> <location cardNo="1" StartPos="1505" width="4"/> <labl level="variable"> Post. #1 mention - R like of Republican House candidate </labl> <qstn> <qstnLit> C3a(1) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C3; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> </catgryGrp> </var> <var name="v961058" ID="v961058" format="char" dcml="0"> <location cardNo="1" StartPos="1509" width="4"/> <labl level="variable"> Post. #2 mention - R like of Republican House candidate </labl> <qstn> <qstnLit> C3a(2) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961059" ID="v961059" format="char" dcml="0"> <location cardNo="1" StartPos="1513" width="4"/> <labl level="variable"> Post. #3 mention - R like of Republican House candidate </labl> <qstn> <qstnLit> C3a(3) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961060" ID="v961060" format="char" dcml="0"> <location cardNo="1" StartPos="1517" width="4"/> <labl level="variable"> Post. #4 mention - R like of Republican House candidate </labl> <qstn> <qstnLit> C3a(4) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961061" ID="v961061" format="char" dcml="0"> <location cardNo="1" StartPos="1521" width="3"/> <labl level="variable"> Post. #5 mention - R like of Republican House candidate </labl> <qstn> <qstnLit> C3a(5) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you liked about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961062" ID="v961062" format="char" dcml="0"> <location cardNo="1" StartPos="1524" width="1"/> <labl level="variable"> Post. Was there anything R disliked about Repub House cand </labl> <qstn> <qstnLit> C4 Was there anything in particular that you didn't like about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 7 in C3; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961063" ID="v961063" format="char" dcml="0"> <location cardNo="1" StartPos="1525" width="4"/> <labl level="variable"> Post. #1 mention - R dislike of Republican House candidate </labl> <qstn> <qstnLit> C4a(1) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="9997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C3; 5,8,9 in C4; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 9998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961064" ID="v961064" format="char" dcml="0"> <location cardNo="1" StartPos="1529" width="4"/> <labl level="variable"> Post. #2 mention - R dislike of Republican House candidate </labl> <qstn> <qstnLit> C4a(2) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961065" ID="v961065" format="char" dcml="0"> <location cardNo="1" StartPos="1533" width="4"/> <labl level="variable"> Post. #3 mention - R dislike of Republican House candidate </labl> <qstn> <qstnLit> C4a(3) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961066" ID="v961066" format="char" dcml="0"> <location cardNo="1" StartPos="1537" width="4"/> <labl level="variable"> Post. #4 mention - R dislike of Republican House candidate </labl> <qstn> <qstnLit> C4a(4) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961067" ID="v961067" format="char" dcml="0"> <location cardNo="1" StartPos="1541" width="4"/> <labl level="variable"> Post. #5 mention - R dislike of Republican House candidate </labl> <qstn> <qstnLit> C4a(5) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you didn't like about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1-C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0000 </catValu> <txt level="category"> Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961068" ID="v961068" format="char" dcml="0"> <location cardNo="1" StartPos="1545" width="1"/> <labl level="variable"> Post. Does R know if either House candidate is the incumbent </labl> <qstn> <qstnLit> C5a IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates [NAME #31,#33,#35] or [NAME #32,#34,#36] was already in the U. S. House of Representatives before the election? ----------------------------------------------------------------------------- (NOTE: PROBE IF R ANSWERS 'NO': Do you mean "neither" or "don't know"?) Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, only one major party House candidate (type race 14 or 24) or Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, Democratic candidate was </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Yes, Republican candidate was </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Both (VOLUNTEERED) </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Neither of them was </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> No, don't know; not sure </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961069" ID="v961069" format="char" dcml="0"> <location cardNo="1" StartPos="1546" width="2"/> <labl level="variable"> Post. Code of candidate recalled as House incumbent </labl> <qstn> <qstnLit> C5a(1) IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2-CANDIDATE RACE) ----------------------------------------------------------------------------- Built from C5a. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0,5,7,9 in C5a </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 90 </catValu> <txt level="category"> Both (VOL) </txt> </catgry> </catgryGrp> </var> <var name="v961070" ID="v961070" format="char" dcml="0"> <location cardNo="1" StartPos="1548" width="1"/> <labl level="variable"> Post. If only 1 candidate ran - was that candidate incumbent </labl> <qstn> <qstnLit> C5b IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if [NAME #31,33,32,34] was already in the House of Representatives before the election? ----------------------------------------------------------------------------- (NOTE: PROBE IF R ANSWERS 'NO': Do you mean "no he wasn't" or "don't know"?) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="8"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, two major party House candidates in race (type race 12,21,55 or 65) or Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, candidate was </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, candidate was not </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> No, don't know; not sure </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961071" ID="v961071" format="char" dcml="0"> <location cardNo="1" StartPos="1549" width="2"/> <labl level="variable"> Post. Unopposed race: Code of cand recalled as House incum </labl> <qstn> <qstnLit> C5b(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (UNOPPOSED RACE) ----------------------------------------------------------------------------- Built from C5b. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0,5,7,9 in C5b </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> </catgryGrp> </var> <var name="v961072" ID="v961072" format="char" dcml="0"> <location cardNo="1" StartPos="1551" width="1"/> <labl level="variable"> Post. Does R recall which party was in majority in the House </labl> <qstn> <qstnLit> C6 Do you happen to know which party had the most members in the House of Representatives in Washington before the election (this/last) month? (IF NECESSARY: "Which one?") ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> The Democrats </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> The Republicans </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961073" ID="v961073" format="char" dcml="0"> <location cardNo="1" StartPos="1552" width="1"/> <labl level="variable"> Post. Does R recall which party was in majority in the Senate </labl> <qstn> <qstnLit> C7 Do you happen to know which party had the most members in the U.S. Senate before the election (this/last) month? (IF NECESSARY: "Which one?") ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> The Democrats </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> The Republicans </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961074" ID="v961074" format="char" dcml="0"> <location cardNo="1" StartPos="1553" width="1"/> <labl level="variable"> Post. Did R vote </labl> <qstn> <qstnLit> D1 In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you--did you vote in the elections this November? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, voted </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, didn't vote </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> R refused to say whether voted </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961075" ID="v961075" format="char" dcml="0"> <location cardNo="1" StartPos="1554" width="1"/> <labl level="variable"> Post. Was R registered </labl> <qstn> <qstnLit> D2 IF R DID NOT VOTE: Were you registered to vote in this election? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R voted (1 in D1); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961076" ID="v961076" format="char" dcml="0"> <location cardNo="1" StartPos="1555" width="1"/> <labl level="variable"> Post. Is R registered to vote in county </labl> <qstn> <qstnLit> D3/D3x IF R IS VOTER / IF R IS REGISTERED NONVOTER: Your residence is located in [county]. Are you registered to vote in [county]? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R not registered (5,8,9 in D2); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, registered in county </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, registered in another county </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961078" ID="v961078" format="char" dcml="0"> <location cardNo="1" StartPos="1557" width="1"/> <labl level="variable"> Post. Did R vote on Nov 5th or before that </labl> <qstn> <qstnLit> D4 IF R VOTED: Did you vote on election day -- that is, November 5th 1996, or did you vote at some time before that? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R did not vote (5,6,8,9 in D1); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> On election day </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Some time before </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961079" ID="v961079" format="char" dcml="0"> <location cardNo="1" StartPos="1558" width="2"/> <labl level="variable"> Post. (If before) How long before Nov 5th </labl> <qstn> <qstnLit> D4a IF R VOTED: IF R VOTED BEFORE ELECTION DAY: How long before November 5th did you vote? (PROBE: "A few days, a week, longer than that?") ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D4); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less than one week, 1-6 days </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> One week; 7 days </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> 1-2 weeks; 8-14 days </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> 2-3 weeks; 15-21 days </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> 3-4 weeks; 22-28 days </txt> </catgry> <catgry> <catValu> 6 </catValu> <txt level="category"> One month; 29-31 days </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> More than one month; 32-60 days </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> A few days; a couple of days; several days -- NFS </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> A few weeks; a couple of weeks; several weeks -- NFS </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> More than a few days -- NFS </txt> </catgry> <catgry> <catValu> 92 </catValu> <txt level="category"> More than a few weeks --NFS </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK; not sure </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961080" ID="v961080" format="char" dcml="0"> <location cardNo="1" StartPos="1560" width="1"/> <labl level="variable"> Post. Did R vote is person or by absentee ballot </labl> <qstn> <qstnLit> D5 IF R VOTED: IF R VOTED BEFORE ELECTION DAY: Did you vote in person or by absentee ballot? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D4); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> In person </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> By absentee </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961081" ID="v961081" format="char" dcml="0"> <location cardNo="1" StartPos="1561" width="1"/> <labl level="variable"> Post. Did R vote for candidate for president </labl> <qstn> <qstnLit> D7 IF R VOTED: How about the election for President? Did you vote for a candidate for President? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R did not vote (5,6,8,9 in D1); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, voted for President </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No, didn't vote for President </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961082" ID="v961082" format="char" dcml="0"> <location cardNo="1" StartPos="1562" width="1"/> <labl level="variable"> Post. Which presidential candidate did R vote for </labl> <qstn> <qstnLit> D8 IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: Who did you vote for? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> Refused </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961083" ID="v961083" format="char" dcml="0"> <location cardNo="1" StartPos="1563" width="1"/> <labl level="variable"> Post. Was R's preference for presidential candidate strong </labl> <qstn> <qstnLit> D8a IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: Would you say that your preference for this candidate was strong or not strong? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in D8; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961084" ID="v961084" format="char" dcml="0"> <location cardNo="1" StartPos="1564" width="2"/> <labl level="variable"> Post. How long before election had R decided who to vote for </labl> <qstn> <qstnLit> D9 IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: How long before the election did you decide that you were going to vote the way you did? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 8,9 in D8; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW </txt> </catgry> <catgry> <catValu> 01 </catValu> <txt level="category"> Knew all along/from the first; always vote for the same party; before the convention/nomination (no mention of Clinton, Dole or Perot); before the primaries; 9 months or more </txt> </catgry> <catgry> <catValu> 02 </catValu> <txt level="category"> Before the convention because of Clinton's, Dole's or Perot's candidacy; as soon as Clinton/Dole/Perot said he would run; "months before"; "early on"; "long time/quite a bit before the election" </txt> </catgry> <catgry> <catValu> 03 </catValu> <txt level="category"> At the time of the Republican convention/ when Dole was nominated; just after the Republican convention; 3 months; July; "a few months";"2-3 months" </txt> </catgry> <catgry> <catValu> 04 </catValu> <txt level="category"> During the Democratic convention when Clinton was nominated; just after the Democratic convention; 4 months; August </txt> </catgry> <catgry> <catValu> 05 </catValu> <txt level="category"> After the convention(s); during the campaign (NFS); 2 months; "a couple of months"; September </txt> </catgry> <catgry> <catValu> 06 </catValu> <txt level="category"> Five to seven weeks before the election </txt> </catgry> <catgry> <catValu> 07 </catValu> <txt level="category"> One month; three weeks; October; after the Presidential debates </txt> </catgry> <catgry> <catValu> 08 </catValu> <txt level="category"> About two weeks before the election; "ten days" </txt> </catgry> <catgry> <catValu> 09 </catValu> <txt level="category"> In the last few days of the campaign; the last part of it </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> On election day </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> During/after the primaries (not codeable in 02); "several months"; 5-8 months </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> After the vice-presidential debate </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Other </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961085" ID="v961085" format="char" dcml="0"> <location cardNo="1" StartPos="1566" width="1"/> <labl level="variable"> Post. If R had > 1 vote, who else would have voted for - #1 </labl> <qstn> <qstnLit> D10(1) IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: If you could have cast more than one vote in the Presidential election this (past) November, is there any other candidate you would have found acceptable and have voted for? [MENTION 1] ----------------------------------------------------------------------------- [NOTE: IWR INSTRUCTION: DON'T TAKE THE SAME NAME TWICE.] </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); 8,9 in D8; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> No other candidate (VOL) (1st mention only) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961086" ID="v961086" format="char" dcml="0"> <location cardNo="1" StartPos="1567" width="1"/> <labl level="variable"> Post. If R had > 1 vote, who else would have voted for - #2 </labl> <qstn> <qstnLit> D10(2) IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: If you could have cast more than one vote in the Presidential election this (past) November, is there any other candidate you would have found acceptable and have voted for? [MENTION 2] ----------------------------------------------------------------------------- [NOTE: IWR INSTRUCTION: DON'T TAKE THE SAME NAME TWICE.] </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no further mention; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); 8,9 in D8; 4 in D10(1); no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Bill Clinton </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Bob Dole </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Ross Perot </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961087" ID="v961087" format="char" dcml="0"> <location cardNo="1" StartPos="1568" width="1"/> <labl level="variable"> Post. Did R vote for U.S. House candidate </labl> <qstn> <qstnLit> D11/D11x IF R VOTED: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington? Did you vote for a candidate for the U.S. House of Representatives? [DO NOT SHOW BALLOT CARD] How about the election for the House of Representatives in Washington? Did you vote for a candidate for the U.S. House of Representatives? ----------------------------------------------------------------------------- If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; refused </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961088" ID="v961088" format="char" dcml="0"> <location cardNo="1" StartPos="1569" width="2"/> <labl level="variable"> Post. R's vote - U.S. House candidate - code </labl> <qstn> <qstnLit> D11a/D11xa IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? CANDIDATE CODE OF HOUSE VOTE ----------------------------------------------------------------------------- Code 97 includes cases where R volunteered that he/she voted "a straight ticket" but no candidate for R's party ran; it also includes cases where R insists that he/she voted for a specific party's candidate but no candidate from that party ran in R's district. For Rs who voted outside of their interview location, code 97 includes candidates named by R but whose CD and party are not known. It also includes cases where R names a candidate but the name is not among names of candidates within a known 'outside' CD. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in House election 5,8,9 in D11/D11x </txt> </catgry> <catgry> <catValu> 30 </catValu> <txt level="category"> Third party or independent House candidate on ballot card </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic candidate - open House race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican candidate - open House race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic House incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican House incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic House challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican House challenger CODES 80-92 IF R VOTED OUTSIDE DISTRICT OF INTERVIEW 80. Independent or minor party House candidate </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Democratic candidate - open House race </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> Republican candidate - open House race </txt> </catgry> <catgry> <catValu> 83 </catValu> <txt level="category"> Democratic House incumbent </txt> </catgry> <catgry> <catValu> 84 </catValu> <txt level="category"> Republican House incumbent </txt> </catgry> <catgry> <catValu> 85 </catValu> <txt level="category"> Democratic House challenger </txt> </catgry> <catgry> <catValu> 86 </catValu> <txt level="category"> Republican House challenger </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> Democrat - no name given </txt> </catgry> <catgry> <catValu> 92 </catValu> <txt level="category"> Republican - no name given </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK; refused </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961089" ID="v961089" format="char" dcml="0"> <location cardNo="1" StartPos="1571" width="1"/> <labl level="variable"> Post. R's vote - U.S. House candidate - party </labl> <qstn> <qstnLit> D11a(1)/D11xa(1) IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? PARTY OF HOUSE VOTE ----------------------------------------------------------------------------- Built from D11a/D11xa. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in House election 5,8,9 in D11/D11x </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35,81,83,85,91) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36,82,84,86,92) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Third party/independent candidate (30,80) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on Candidate List for that race (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; refused (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961090" ID="v961090" format="char" dcml="0"> <location cardNo="1" StartPos="1572" width="1"/> <labl level="variable"> Post. Was there a senate race in state of interview </labl> <qstn> <qstnLit> D11xx Senate race in state of interview ----------------------------------------------------------------------------- Code 1 includes Kansas, which had 2 Senate races (regular Senate election and a special Senate election). Code 0 includes Washington DC. </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No race in state (AZ, CA, CT, FL, HI, IN, MD, MO, NV, NY, OH, PA, UT, WA, WI) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Race in state (AL, AR, CO, GA, IL, IA, KS, LA, MA, MI, MN, MS, NE, NH, NJ, NM, NC, OK, OR, SC, SD, TN, TX, VA, WV, WY) </txt> </catgry> </catgryGrp> </var> <var name="v961090a" ID="v961090a" format="char" dcml="0"> <location cardNo="1" StartPos="1573" width="1"/> <labl level="variable"> Post. Senate race in state of vote </labl> <qstn> <qstnLit> D11xx(1) Senate race in state of vote ----------------------------------------------------------------------------- This var is coded the same as D11xx (Senate race in state of interview) for all cases where R voted in the same state as state of interview (state in question Sample.1A is not different from state of interview in question Sample.1). </qstnLit> </qstn> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No race in state (AZ, CA, CT, FL, HI, IN, MD, MO, NV, NY, OH, PA, UT, WA, WI) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Race in state (AL, AR, CO, GA, IL, IA, KS, LA, MA, MI, MN, MS, NE, NH, NJ, NM, NC, OK, OR, SC, SD, TN, TX, VA, WV, WY) </txt> </catgry> </catgryGrp> </var> <var name="v961091" ID="v961091" format="char" dcml="0"> <location cardNo="1" StartPos="1574" width="1"/> <labl level="variable"> Post. Did R vote for a Senate candidate </labl> <qstn> <qstnLit> D12/D12x IF R VOTED: [SHOW BALLOT CARD] (Still looking at the list of candidates) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? [DO NOT SHOW BALLOT CARD] How about the election for the United States Senate? Did you vote for a candidate for the United States Senate? KANSAS: How about the two elections for the United States Senate? Did you vote for candidates for the U.S. Senate? ----------------------------------------------------------------------------- Some Rs are registered in states other than that of their residence. If R is registered out of state, this variable applies to the out-of-state race (if one occurred), not to any Senate race in R's state of residence (if one occurred). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. For voters residing in Kansas who were registered in the county of their residence (first question format), an exact equivalent of this question was not asked: D12k(1a) and D12k(1b) were asked without a yes/no filter. To include KS in-county voters in this variable, if R voted for one or more candidates in D12k(1a)/D12k(1b) then this variable has been coded Yes. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); no race in state of vote (0 in D11xx(1)) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> R volunteers: No Senate race in state </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; refused </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961092" ID="v961092" format="char" dcml="0"> <location cardNo="1" StartPos="1575" width="2"/> <labl level="variable"> Post. R's vote - Senate - code </labl> <qstn> <qstnLit> D12a/D12xa IF R LOCATION IS NOT KANSAS: IF R VOTED: Who did you vote for? CANDIDATE CODE OF SENATE VOTE ----------------------------------------------------------------------------- For Kansas voters, data for R's vote in the regular senate election have been duplicated here; for vote in special Kansas election, see D12k(1a) and D12k(1b). There were no cases where R was not resident in Kansas but voted in Kansas (outside state of residence), so that no information was lost about the second Senate election in Kansas. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in Senate election; no race in state of vote (0 in D11xx(1)); R voted in Kansas but did not vote in the regular Senate election </txt> </catgry> <catgry> <catValu> 10 </catValu> <txt level="category"> Third party or independent Senate candidate on Ballot card </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Democratic candidate in open Senate race </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Republican candidate in open Senate race </txt> </catgry> <catgry> <catValu> 13 </catValu> <txt level="category"> Democratic Senate incumbent </txt> </catgry> <catgry> <catValu> 14 </catValu> <txt level="category"> Republican Senate incumbent </txt> </catgry> <catgry> <catValu> 15 </catValu> <txt level="category"> Democratic Senate challenger </txt> </catgry> <catgry> <catValu> 16 </catValu> <txt level="category"> Republican Senate challenger CODES 80-92 IF R VOTED OUTSIDE STATE OF INTERVIEW 80. Third party or independent Senate candidate </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Democratic candidate in open Senate race </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> Republican candidate in open Senate race </txt> </catgry> <catgry> <catValu> 83 </catValu> <txt level="category"> Democratic Senate incumbent </txt> </catgry> <catgry> <catValu> 84 </catValu> <txt level="category"> Republican Senate incumbent </txt> </catgry> <catgry> <catValu> 85 </catValu> <txt level="category"> Democratic Senate challenger </txt> </catgry> <catgry> <catValu> 86 </catValu> <txt level="category"> Republican Senate challenger </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> Democrat - no name given </txt> </catgry> <catgry> <catValu> 92 </catValu> <txt level="category"> Republican - no name given </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name given not on candidate list for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK; refused </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961093" ID="v961093" format="char" dcml="0"> <location cardNo="1" StartPos="1577" width="1"/> <labl level="variable"> Post. R's vote - Senate - party </labl> <qstn> <qstnLit> D12a(1)/D12xa(1) IF R LOCATION IS NOT KANSAS: IF R VOTED: Who did you vote for? PARTY OF SENATE VOTE ----------------------------------------------------------------------------- Built from D12a/D12xa. For Kansas voters, data for R's vote in the regular senate election have been duplicated here. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in Senate election; no race in state of vote (0 in D11xx(1)); R voted in Kansas but did not vote in the regular Senate election </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (11,13,15,81,83,85,91) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (12,14,16,82,84,86,92) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Third party/independent candidate (30,80) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on Candidate List for that race (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; refused (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961094" ID="v961094" format="char" dcml="0"> <location cardNo="1" StartPos="1578" width="2"/> <labl level="variable"> Post. #1 - Kansas Senate race - code </labl> <qstn> <qstnLit> D12k(1a)/D12xk(1a IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS FIRST MENTION - CANDIDATE CODE ----------------------------------------------------------------------------- Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a. If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Democratic candidate in regular senate election </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Republican candidate in regular senate election CODES 80-92 IF R VOTED OUTSIDE STATE OF INTERVIEW (OUTSIDE OF KANSAS) 80. Third party or independent Senate candidate </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Democratic candidate in open Senate race </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> Republican candidate in open Senate race </txt> </catgry> <catgry> <catValu> 83 </catValu> <txt level="category"> Democratic Senate incumbent </txt> </catgry> <catgry> <catValu> 84 </catValu> <txt level="category"> Republican Senate incumbent </txt> </catgry> <catgry> <catValu> 85 </catValu> <txt level="category"> Democratic Senate challenger </txt> </catgry> <catgry> <catValu> 86 </catValu> <txt level="category"> Republican Senate challenger </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> Democrat - no name given </txt> </catgry> <catgry> <catValu> 92 </catValu> <txt level="category"> Republican - no name given </txt> </catgry> <catgry> <catValu> 93 </catValu> <txt level="category"> Democratic candidate in special senate election </txt> </catgry> <catgry> <catValu> 94 </catValu> <txt level="category"> Republican candidate in special senate election </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name given not on Candidate List for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK; refused </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961095" ID="v961095" format="char" dcml="0"> <location cardNo="1" StartPos="1580" width="1"/> <labl level="variable"> Post. #1 - Kansas Senate race - party </labl> <qstn> <qstnLit> D12k(1b)/D12xk(1b IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS FIRST MENTION - PARTY OF VOTE ----------------------------------------------------------------------------- Built from D12k(1a)/D12xk(1a). Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (93,11,81,83,85,91) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (94,12,82,84,86) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Third party/ independent candidate (80) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on Candidate List for this race (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; refused (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961096" ID="v961096" format="char" dcml="0"> <location cardNo="1" StartPos="1581" width="2"/> <labl level="variable"> Post. #2 - Kansas Senate race - code </labl> <qstn> <qstnLit> D12k(2a)/D12xk(2a IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS SECOND MENTION - CANDIDATE CODE ----------------------------------------------------------------------------- Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted in only 1 KS Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) </txt> </catgry> <catgry> <catValu> 11 </catValu> <txt level="category"> Democratic candidate in regular senate election </txt> </catgry> <catgry> <catValu> 12 </catValu> <txt level="category"> Republican candidate in regular senate election CODES 80-92 IF R VOTED OUTSIDE STATE OF INTERVIEW (OUTSIDE OF KANSAS) 80. Third party or independent Senate candidate </txt> </catgry> <catgry> <catValu> 81 </catValu> <txt level="category"> Democratic candidate in open Senate race </txt> </catgry> <catgry> <catValu> 82 </catValu> <txt level="category"> Republican candidate in open Senate race </txt> </catgry> <catgry> <catValu> 83 </catValu> <txt level="category"> Democratic Senate incumbent </txt> </catgry> <catgry> <catValu> 84 </catValu> <txt level="category"> Republican Senate incumbent </txt> </catgry> <catgry> <catValu> 85 </catValu> <txt level="category"> Democratic Senate challenger </txt> </catgry> <catgry> <catValu> 86 </catValu> <txt level="category"> Republican Senate challenger </txt> </catgry> <catgry> <catValu> 91 </catValu> <txt level="category"> Democrat - no name given </txt> </catgry> <catgry> <catValu> 92 </catValu> <txt level="category"> Republican - no name given </txt> </catgry> <catgry> <catValu> 93 </catValu> <txt level="category"> Democratic candidate in special senate election </txt> </catgry> <catgry> <catValu> 94 </catValu> <txt level="category"> Republican candidate in special senate election </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name given not on Candidate List for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK; refused </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961097" ID="v961097" format="char" dcml="0"> <location cardNo="1" StartPos="1583" width="1"/> <labl level="variable"> Post. #2 - Kansas Senate race - party </labl> <qstn> <qstnLit> D12k(2b)/D12xk(2b IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS SECOND MENTION - PARTY CODE ----------------------------------------------------------------------------- Built from D12k(2a)/D12xk(2a). Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted in only 1 KS Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (93,11,81,83,85,91) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (94, 12,82,84,86,92) </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Third party/ independent candidate (80) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on Candidate List for this race (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; refused (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961098" ID="v961098" format="char" dcml="0"> <location cardNo="1" StartPos="1584" width="1"/> <labl level="variable"> Post. (If R did not vote) Did R prefer a cand for president </labl> <qstn> <qstnLit> D14 IF R DID NOT VOTE: How about the election for President? Did you prefer one of the candidates for President? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R voted or post IW DK/refused/NA if voted(1,6,8,9 in D1); no </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961099" ID="v961099" format="char" dcml="0"> <location cardNo="1" StartPos="1585" width="1"/> <labl level="variable"> Post. (If R did not vote) Which candidate did R prefer </labl> <qstn> <qstnLit> D14a IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR PRESIDENT: Who did you prefer? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no preference (5,8,9 in D14); R voted or if voted (1,6,8,9 inD1); no post IW DK/refused/NA </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Clinton </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Dole </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Perot </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Other (specify) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961100" ID="v961100" format="char" dcml="0"> <location cardNo="1" StartPos="1586" width="1"/> <labl level="variable"> Post. (If R did not vote) Was R's preference strong/not </labl> <qstn> <qstnLit> D14b IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR PRESIDENT: IF R IDENTIFIED PRESIDENTIAL CANDIDATE OF PREFERENCE: Would you say that your preference for this candidate was strong or not strong? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in D14a; no preference (5,8,9 in D14); R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Strong </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not strong </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961101" ID="v961101" format="char" dcml="0"> <location cardNo="1" StartPos="1587" width="1"/> <labl level="variable"> Post. (If R did not vote) Did R prefer candidate for House </labl> <qstn> <qstnLit> D15/D15x IF R DID NOT VOTE: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington? Did you prefer one of the candidates for the U.S. House of Representatives? / How about the election for the House of Representatives. Did you prefer one of the candidates for the U.S. House of Representatives? ----------------------------------------------------------------------------- Unlike previous years, and through an error in the questionnaire, nonvoters not registered in the county of interview were not asked the same version of this question as nonvoters who were registered in the county of interview. Thus, all 'out of county' nonvoters (17 cases) were not shown a ballot card (second version of question). Specifically regarding 'out of county' nonvoters who may have been registered in a CD different from the CD of interview: in past studies, all nonvoters were asked for preference among candidates within the CD of interview, regardless of where they were registered, and the ballot card for CD of interview was presented to R. In 1996 no ballot card was shown and no other identification of CD for candidate preference was offered to nonvoters registered in a different CD. Among the 17 'out of county' nonvoters, no clear indication was found within respondents' answers of preference for candidates from CDs other than CD of interview, however it is unclear how the 'out of county' nonvoter responses would have differed if the ballot card had been shown. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, R voted or post IW DK/refused/NA if voted (1,6,8,9 in D1); no </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961102" ID="v961102" format="char" dcml="0"> <location cardNo="1" StartPos="1588" width="2"/> <labl level="variable"> Post. (If R did not vote) Which House cand did R prefer - code </labl> <qstn> <qstnLit> D15a/D15xa IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR HOUSE: Which candidate was that?/ Which candidate did you prefer? CANDIDATE CODE OF HOUSE PREFERENCE </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, no preference (5,8,9 in D15); R voted or if voted (1,6,8,9 in D1); no post IW DK/refused/NA </txt> </catgry> <catgry> <catValu> 31 </catValu> <txt level="category"> Democratic House candidate in open race </txt> </catgry> <catgry> <catValu> 32 </catValu> <txt level="category"> Republican House candidate in open race </txt> </catgry> <catgry> <catValu> 33 </catValu> <txt level="category"> Democratic House incumbent </txt> </catgry> <catgry> <catValu> 34 </catValu> <txt level="category"> Republican House incumbent </txt> </catgry> <catgry> <catValu> 35 </catValu> <txt level="category"> Democratic challenger </txt> </catgry> <catgry> <catValu> 36 </catValu> <txt level="category"> Republican challenger </txt> </catgry> <catgry> <catValu> 97 </catValu> <txt level="category"> Name not on candidate list for this race </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961103" ID="v961103" format="char" dcml="0"> <location cardNo="1" StartPos="1590" width="1"/> <labl level="variable"> Post. (If R did not vote) Which House cand R prefer - party </labl> <qstn> <qstnLit> D15a(1) IF R DID NOT VOTE: IF R PREFERRED ONE CANDIDATE FOR HOUSE RACE: Which candidate was that?/Which candidate did you prefer? PARTY CODE OF HOUSE PREFERENCE ----------------------------------------------------------------------------- Build from D15/D15x and D15a/D15xa. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no preference (5,8,9 in D15); R voted or if voted (1,6,8,9 in D1); no post IW DK/refused/NA </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Democratic candidate (31,33,35) </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Republican candidate (32,34,36) </txt> </catgry> <catgry> <catValu> 7 </catValu> <txt level="category"> Name given not on Candidate List for that race (97) </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK (98) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA (99) </txt> </catgry> </catgryGrp> </var> <var name="v961104" ID="v961104" format="char" dcml="0"> <location cardNo="1" StartPos="1591" width="1"/> <labl level="variable"> Post. Assignment to half sample </labl> <qstn> <qstnLit> D30/S30 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------------------------- Half of the respondents were randomly selected for administration of question D30a-D30g; the other half sample were administered S30a-S30g. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> R selected for administration of S30a-S30g </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> R selected for administration of D30a-D30g </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961105" ID="v961105" format="char" dcml="0"> <location cardNo="1" StartPos="1592" width="1"/> <labl level="variable"> Post. Level of govt effort to protect the environment </labl> <qstn> <qstnLit> D30/S30 Now I am going to ask you what you think of the government's current activities in various areas of environmental policy. In each case, just tell me whether you think the government should put less, the same amount, or more effort into that area than it does now. D30a/S30a Do you think the government should put less, the same amount, or more effort into improving and protecting the environment? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961106" ID="v961106" format="char" dcml="0"> <location cardNo="1" StartPos="1593" width="1"/> <labl level="variable"> Post. Level of govt effort to reduce air pollution </labl> <qstn> <qstnLit> D30b/S30b (Do you think the government should put less, the same amount, or more effort into) Reducing air pollution? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961107" ID="v961107" format="char" dcml="0"> <location cardNo="1" StartPos="1594" width="1"/> <labl level="variable"> Post. Level of govt effort to manage natural resources </labl> <qstn> <qstnLit> D30c/S30c (Do you think the government should put less, the same amount, or more effort into) Managing natural resources that are important to our economy, such as timber and fisheries? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961108" ID="v961108" format="char" dcml="0"> <location cardNo="1" StartPos="1595" width="1"/> <labl level="variable"> Post. Level of govt effort to clean up lakes and parks </labl> <qstn> <qstnLit> D30d/S30d (Do you think the government should put less, the same amount, or more effort into) Cleaning up lakes and parks for recreation such as hiking and boating? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961109" ID="v961109" format="char" dcml="0"> <location cardNo="1" StartPos="1596" width="1"/> <labl level="variable"> Post. Level of govt effort to clean up toxic waste </labl> <qstn> <qstnLit> D30e/S30e (Do you think the government should put less, the same amount, or more effort into) Cleaning up hazardous or toxic waste? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961110" ID="v961110" format="char" dcml="0"> <location cardNo="1" StartPos="1597" width="1"/> <labl level="variable"> Post. Level of govt effort to clean up solid waste </labl> <qstn> <qstnLit> D30f/S30f (Do you think the government should put less, the same amount, or more effort into) Reducing solid waste and garbage? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961111" ID="v961111" format="char" dcml="0"> <location cardNo="1" StartPos="1598" width="1"/> <labl level="variable"> Post. Level of govt effort to address global warming </labl> <qstn> <qstnLit> D30g/S30g (Do you think the government should put less, the same amount, or more effort into) Addressing global warming? ----------------------------------------------------------------------------- See D30/S30 for full text. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> The same amount </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961112" ID="v961112" format="char" dcml="0"> <location cardNo="1" StartPos="1599" width="1"/> <labl level="variable"> Post. Trait: Clinton - moral </labl> <qstn> <qstnLit> E1 (I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate name.) E1a Think about Bill Clinton. In your opinion, does the phrase "(he [is])....." describe Bill Clinton extremely well, quite well, not too well, or not well at all? MORAL ----------------------------------------------------------------------------- See E1 for full text. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961113" ID="v961113" format="char" dcml="0"> <location cardNo="1" StartPos="1600" width="1"/> <labl level="variable"> Post. Certainty of Clinton - moral </labl> <qstn> <qstnLit> E1b IF R GIVES OPINION ABOUT CLINTON AS 'MORAL:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E1a; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961114" ID="v961114" format="char" dcml="0"> <location cardNo="1" StartPos="1601" width="1"/> <labl level="variable"> Post. Trait: Clinton - gets things done </labl> <qstn> <qstnLit> E2a GETS THINGS DONE? (Does the phrase "gets things done" describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------------------------- See E1 for full text. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961115" ID="v961115" format="char" dcml="0"> <location cardNo="1" StartPos="1602" width="1"/> <labl level="variable"> Post. Certainty of Clinton - gets things done </labl> <qstn> <qstnLit> E2b IF R GIVES OPINION WHETHER CLINTON 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E1c; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961116" ID="v961116" format="char" dcml="0"> <location cardNo="1" StartPos="1603" width="1"/> <labl level="variable"> Post. Trait: Dole - moral </labl> <qstn> <qstnLit> E1c Think about Bob Dole. In your opinion, does the phrase "(he [is])....." describe Bob Dole extremely well, quite well, not too well, or not well at all? MORAL ----------------------------------------------------------------------------- See E1 for full text. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961117" ID="v961117" format="char" dcml="0"> <location cardNo="1" StartPos="1604" width="1"/> <labl level="variable"> Post. Certainty of Dole - moral </labl> <qstn> <qstnLit> E1d IF R GIVES OPINION ABOUT DOLE AS 'MORAL:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E2a; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961118" ID="v961118" format="char" dcml="0"> <location cardNo="1" StartPos="1605" width="1"/> <labl level="variable"> Post. Trait: Dole - gets things done </labl> <qstn> <qstnLit> E2c GETS THINGS DONE? (Does the phrase "gets things done" describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------------------------- See E1 for full text. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Extremely well </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Quite well </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Not too well </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Not well at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961119" ID="v961119" format="char" dcml="0"> <location cardNo="1" StartPos="1606" width="1"/> <labl level="variable"> Post. Certainty of Dole - gets things done </labl> <qstn> <qstnLit> E2d IF R GIVES OPINION WHETHER DOLE 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E2c; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961120" ID="v961120" format="char" dcml="0"> <location cardNo="1" StartPos="1607" width="1"/> <labl level="variable"> Post. Trait: Perot - gets things done </labl> <qstn> <qstnLit> E3a </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> </var> <var name="v961121" ID="v961121" format="char" dcml="0"> <location cardNo="1" StartPos="1608" width="1"/> <labl level="variable"> Post. Certainty of Perot - gets things done </labl> <qstn> <qstnLit> GETS THINGS DONE? (Does the phrase "gets things done" describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------------------------- See E1 for full text. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. 207 1. Extremely well 569 2. Quite well 407 3. Not too well 208 4. Not well at all 130 8 . DK 13 9. NA; RF 180 0. Inap, no Post IW E3b IF R GIVES OPINION WHETHER PEROT 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------------------------- See note E3a. </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 8,9 in E3a; no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very certain </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Pretty certain </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Not very certain </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961122" ID="v961122" format="char" dcml="0"> <location cardNo="1" StartPos="1609" width="1"/> <labl level="variable"> Post. Checkpoint: Running incumbent in R's district </labl> <qstn> <qstnLit> E3x CHECKPOINT - RUNNING INCUMBENT IN R'S DISTRICT? ----------------------------------------------------------------------------- </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> No running incumbent in R's district (type race 55,65) </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Running incumbent in R's district (type race 12,14,21,24) </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> Inap, Washington DC; no Post IW </txt> </catgry> </catgryGrp> </var> <var name="v961123" ID="v961123" format="char" dcml="0"> <location cardNo="1" StartPos="1610" width="1"/> <labl level="variable"> Post. Does R approve/disapprove of running House incumbent </labl> <qstn> <qstnLit> E4 IF RUNNING INCUMBENT IN R'S DISTRICT: In general, do you approve or disapprove of the way Representative [NAME #33 OR NAME #34] has been handling his/her job? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no running incumbent (0 in E3x); Washington DC; no post iW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961124" ID="v961124" format="char" dcml="0"> <location cardNo="1" StartPos="1611" width="1"/> <labl level="variable"> Post. Strength of R's approval/disapproval of House incumbent </labl> <qstn> <qstnLit> E4a/E4b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R APPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT / IF R DISAPPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT: E4a. Do you approve strongly or not strongly? E4b. Do you disapprove strongly or not strongly? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; 8,9 in E4; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Approve strongly </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Approve not strongly </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Disapprove not strongly </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> Disapprove strongly </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961125" ID="v961125" format="char" dcml="0"> <location cardNo="1" StartPos="1612" width="1"/> <labl level="variable"> Post. Does R know the number yrs that incum has been in House </labl> <qstn> <qstnLit> E5 IF RUNNING INCUMBENT IN R'S DISTRICT: Do you happen to know about how many years [NAME #33 OR NAME #34] has been in the House of Representatives? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes, R knows </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961126" ID="v961126" format="char" dcml="0"> <location cardNo="1" StartPos="1613" width="2"/> <labl level="variable"> Post. (If yes) How many years has incumbent been in House </labl> <qstn> <qstnLit> E5a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS R KNOWS ABOUT HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: About how many? ----------------------------------------------------------------------------- Code actual number and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="97"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 00 </catValu> <txt level="category"> Inap, 0 in E3x; 5,8,9 in E5; Washington DC; no post IW </txt> </catgry> <catgry missing="Y"> <catValu> 98 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 99 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961127" ID="v961127" format="char" dcml="0"> <location cardNo="1" StartPos="1615" width="1"/> <labl level="variable"> Post. (If DK) Has incum been in House less/about/more 12 yrs </labl> <qstn> <qstnLit> E5b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R DOESN'T KNOW HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: Would you say less than 12 years, about 12 years, or more than 12 years? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; 1,8,9 in E5; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Less than 12 years </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> About 12 years </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> More than 12 years </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961128" ID="v961128" format="char" dcml="0"> <location cardNo="1" StartPos="1616" width="1"/> <labl level="variable"> Post. How well has incumbent kept in touch with district </labl> <qstn> <qstnLit> E6 IF RUNNING INCUMBENT IN R'S DISTRICT: How good a job would you say U.S. Representative [NAME #33 OR NAME #34] does of keeping in touch with the people in your district -- does he/she do a very good job, fairly good, fairly poor, or a poor job of keeping in touch with the people in this district? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Very good </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Fairly good </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Fairly poor </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Very poor </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961129" ID="v961129" format="char" dcml="0"> <location cardNo="1" StartPos="1617" width="1"/> <labl level="variable"> Post. Does R know House incumbent's vote on welfare reform </labl> <qstn> <qstnLit> E7 IF RUNNING INCUMBENT IN R'S DISTRICT: One of the main issues considered by Congress this year was welfare reform. Did Representative [NAME #33 OR NAME #34] vote for or against the welfare reform bill? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> For </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Against </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961130" ID="v961130" format="char" dcml="0"> <location cardNo="1" StartPos="1618" width="1"/> <labl level="variable"> Post. (If DK) R's guess -House incumb vote on welfare reform </labl> <qstn> <qstnLit> E7a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R DOESN'T KNOW HOW REPRESENTATIVE VOTED ON WELFARE REFORM BILL: What would be your best guess? (Did [NAME #33 OR NAME #34] vote for or against the welfare reform bill?) </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; 1,3,9 in E7; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> For </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Against </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961131" ID="v961131" format="char" dcml="0"> <location cardNo="1" StartPos="1619" width="1"/> <labl level="variable"> Post. How often does R thinkHouse incumbent supports Clinton </labl> <qstn> <qstnLit> E8 IF RUNNING INCUMBENT IN R'S DISTRICT: How often has Representative[NAME #33 OR NAME #34] supported President Clinton's legislative proposals? More than half the time, half, less than half the time, or are you not sure? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> More than half </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Half </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Less than half </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK; not sure </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961132" ID="v961132" format="char" dcml="0"> <location cardNo="1" StartPos="1620" width="1"/> <labl level="variable"> Post. (If more than half) Almost always </labl> <qstn> <qstnLit> E8a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON MORE THAN HALF THE TIME: Would you say it was almost always? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; 2-9 in E8; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961133" ID="v961133" format="char" dcml="0"> <location cardNo="1" StartPos="1621" width="1"/> <labl level="variable"> Post. (If less than half) Almost never </labl> <qstn> <qstnLit> E8b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON LESS THAN HALF THE TIME: Would you say it was almost never? ----------------------------------------------------------------------------- </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, 0 in E3x; 1,2,8,9 in E8; Washington DC; no post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Yes </txt> </catgry> <catgry> <catValu> 5 </catValu> <txt level="category"> No </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961134" ID="v961134" format="char" dcml="0"> <location cardNo="1" StartPos="1622" width="1"/> <labl level="variable"> Post. How much does R follow government and public affairs </labl> <qstn> <qstnLit> E9 Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs most of the time, some of the time, only now and then, or hardly at all? </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="7"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 0 </catValu> <txt level="category"> Inap, no Post IW </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> Most of the time </txt> </catgry> <catgry> <catValu> 2 </catValu> <txt level="category"> Some of the time </txt> </catgry> <catgry> <catValu> 3 </catValu> <txt level="category"> Only now and then </txt> </catgry> <catgry> <catValu> 4 </catValu> <txt level="category"> Hardly at all </txt> </catgry> <catgry missing="Y"> <catValu> 8 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> NA; RF </txt> </catgry> </catgryGrp> </var> <var name="v961135" ID="v961135" format="char" dcml="0"> <location cardNo="1" StartPos="1623" width="1"/> <labl level="variable"> Post. Checkpoint: Half-sample </labl> <qstn> <qstnLit> E10 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------------------------- Half the respondents were randomly selected for administration of questions F1-F4. </qstnLit> </qstn> <invalrng relation="EQ"> <item UNITS="INT" VALUE="9"/> </invalrng> <catgryGrp> <catgry> <catValu> 0 </catValu> <txt level="category"> R not randomly selected for administration of F1-F4 </txt> </catgry> <catgry> <catValu> 1 </catValu> <txt level="category"> R randomly selected for administration of F1-F4 </txt> </catgry> <catgry missing="Y"> <catValu> 9 </catValu> <txt level="category"> Inap, no post IW </txt> </catgry> </catgryGrp> </var> <var name="v961136" ID="v961136" format="char" dcml="0"> <location cardNo="1" StartPos="1624" width="3"/> <labl level="variable"> Post. What does R think is most imp prob facing country - #1 </labl> <qstn> <qstnLit> F1(1) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 1 ----------------------------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: </qstnLit> </qstn> <valrng relation="LTE"> <item UNITS="INT" VALUE="997"/> </valrng> <invalrng relation="EQ"> <item UNITS="INT" VALUE="0"/> </invalrng> <catgryGrp> <catgry missing="Y"> <catValu> 000 </catValu> <txt level="category"> Inap, 0 in E10; no Post IW </txt> </catgry> <catgry missing="Y"> <catValu> 998 </catValu> <txt level="category"> DK </txt> </catgry> <catgry missing="Y"> <catValu> 999 </catValu> <txt level="category"> NA </txt> </catgry> </catgryGrp> </var> <var name="v961137" ID="v961137" format="char" dcml="0"> <location cardNo="1" StartPos="1627" width="3"/> <labl level="variable"> Post. What does R think is most i