General Social Survey 1993 [United States]

Table of Contents

Please note: this codebook has been prepared in accordance with the Data Documentation Initiative's XML DTD. For more information, please consult the DDI documentation at http://www.icpsr.umich.edu/DDI/.

Document Description-- Marked-up Document

The document description contains information about the CPANDA codebook, not about the study itself. All CPANDA codebook citations contain bibliographic information for the codebook and archival details related to its creation.

The citation in the document description should be used by individuals who cite information from the codebook. It is not intended as a citation for the data set.

Title: General Social Survey 1993 [United States]

CPANDA Identification Number: a00006

Author: Cultural Policy and the Arts National Data Archive

Produced By: Cultural Policy and the Arts National Data Archive, May 9, 2002, Princeton, NJ: Cultural Policy and the Arts National Data Archive

Funding Agency/Sponsor: Pew Charitable Trusts

Grant Number: 2000-001763

Distributed By: Cultural Policy and the Arts National Data Archive, Social Science Reference Center, Princeton University Library, October 3, 2002

Contact Person: CPANDA, Princeton University (cpanda@princeton.edu)

Depositor: Cultural Policy and the Arts National Data Archive, Social Science Reference Center, Princeton University Library, February 19, 2002

Series
National Data Program for the Social Sciences Series ; no. 17
The National Data Program for the Social Sciences (General Social Survey) is both a data diffusion project and a program of social indicator research. Its data collection instrument, the General Social Survey (GSS), was fielded for the 23rd time in 2000. Previously an annual survey, the GSS became biennial in 1994.

Version Statement: First CPANDA Edition, CPANDA, Princeton University

APA Citation: Davis, James Allan, Tom W. Smith, and Peter V. Marsden. 2002. GENERAL SOCIAL SURVEY 1993 [codebook file]. CPANDA ed. Princeton, NJ: Cultural Policy and the Arts National Data Archive [producer and distributor].

Holdings Information: Marked-up codebook for General Social Survey 1993 [United States] http://www.cpanda.org

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Document Description-- Source Document

Title: General Social Surveys, 1972-2000: Cumulative Codebook

CPANDA Identification Number: a00006

Author:

  • Davis, James A.  (National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago)
  • Smith, Tom W.  (National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago)
  • Marsden, Peter V.  (National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago)

Produced By: The National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago, May 1, 2001, Chicago, Illinois

Funding Agency/Sponsor: National Science Foundation

Grant Number: SBR-6917727

Distributed By: The Roper Center for Public Opinion Research, University of Connecticut, Storrs, May 1, 2001

Depositor: The Roper Center for Public Opinion Research, University of Connecticut, Storrs , November 12, 2001

Series
National Data Program for the Social Sciences Series ; no. 17
The National Data Program for the Social Sciences (General Social Survey) is both a data diffusion project and a program of social indicator research. Its data collection instrument, the General Social Survey (GSS), was fielded for the 23rd time in 2000. Previously an annual survey, the GSS became biennial in 1994.

APA Citation: Davis, James Allan, Tom W. Smith, and Peter V. Marsden. 2000. General Social Surveys, 1972-2000: Cumulative Codebook. Chicago, Illinois: National Opinion Research Center.

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Study Description-- Citation - Data Collection

The study description contains information concerning the research process that created the data set.

The citation in the study description should be used by individuals who are citing the use of the data set.

Title: General Social Survey 1993 [United States]

Alternative Title: GSS 1993

CPANDA Identification Number: a00006

Author:

  • Davis, James A.  (National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago)
  • Smith, Tom W.  (National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago)
  • Marsden, Peter V.  (National Data Program for the Social Sciences, National Opinion Research Center, University of Chicago)

Produced By: The National Data Program for Social Sciences, National Opinion Research Center, University of Chicago, Chicago, Illinois

Funding Agency/Sponsor: National Science Foundation

Grant Number: SBR-6917727

Distributed By: The Roper Center for Public Opinion Research, University of Connecticut, October 3, 2002

Depositor: The Roper Center for Public Opinion Research, University of Connecticut, November 12, 2001

Series
National Data Program for the Social Sciences Series ; no. 17
The National Data Program for the Social Sciences (General Social Survey) is both a data diffusion project and a program of social indicator research. Its data collection instrument, the General Social Survey (GSS), was fielded for the 23rd time in 2000. Previously an annual survey, the GSS became biennial in 1994.

APA Citation: Davis, James Allan, Tom W. Smith, and Peter V. Marsden. 2000. GENERAL SOCIAL SURVEY 1993 [UNITED STATES] [computer file]. Chicago, IL: National Opinion Research Center [producer]; Storrs, CT: The Roper Center for Public Opinion Research, University of Connecticut [distributer].

Notes:
Aug. 27, 2001 - An errata file has been added to this collection

Keywords

CPANDA

  • Performing arts (general)
  • Visual arts
  • Arts education for the public
  • Arts in higher education
  • Media coverage of arts and culture
  • Television coverage
  • Participation in arts and leisure activities
  • Audiences and attendance
  • Leisure and recreational activities (non-arts-related)
  • Reading
  • Sporting events
  • Public attitudes and arts advocacy
  • Public attitudes and opinions
  • Public attitudes on government support for the arts
  • Public attitudes on arts, artists, and culture
  • Arts education and training
  • Art forms (types of art)

ICPSR

  • Arts participation
  • Social attitudes
  • Cultural attitudes

Library of Congress Subject Headings

  • Social indicators. United States
  • Public opinion. United States
  • Arts surveys. United States
  • Art and society. United States

LSCH

  • Social surveys. United States

Abstract (CPANDA): The General Social Survey (GSS), conducted annually between 1972 and 1994 (except for 1979, 1981, and 1992) and biennially thereafter by the National Opinion Research Center at the University of Chicago, collects information from the general public on a wide variety of subjects, including attitudes toward social issues, religion, education, jobs and the economy, government and other institutions, politics, and policy issues. Many questions are asked either in every survey or at various intervals across time, allowing trends to be analyzed. The 1993 GSS is of particular interest to cultural policy researchers because it includes a battery of questions focused on culture and the arts. Among other things, this "Culture Module" includes questions on musical preferences, leisure and recreational activities, and attitudes toward art and literature.

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Study Description-- Study Scope

Time Period Covered: January 1, 1993 - December 31, 1993

Date of Collection: February 1, 1993 - April 30, 1993

Country: United States

Geographic Coverage: United States

Geographic Unit: country

Unit of Analysis: individuals

Universe: noninstitutionalized adult Americans

Kind of Data: survey data

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Study Description -- Methodology

Data Collector: National Opinion Research Center, University of Chicago

Sampling Procedure:full probability

Mode of Data Collection: personal interviews

Type of Research Instrument: structured

Characteristics of Data Collection Situation: The average length of the interview was about 90 minutes. In 1993, there was a split-frame experiment in which half the cases were drawn from NORC's 1980 sampling frame and half from the new 1990 sampling frame.

Cleaning Operations: The data from the interviews were processed according to NORC procedures. Cleaning procedures--utilizing a combination of the coding specifications and the interviewer instructions--were used to check for inconsistent or illegitimate codes.

Response Rate: The overall response rate was 82%.

Methodology (CPANDA) : In-person interviews were conducted with a national, full probability sample of 1,606 English-speaking persons 18 years of age or over, living in non-institutional arrangements within the United States. Interviews were conducted during February, March, and April of 1993. The response rate was 82 percent.

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Study Description -- Data Access

Location: Cultural Policy and the Arts National Data Archive

Extent of Collection: 1 datafile and related materials

Citation Requirement: Users of CPANDA data collections are requested to acknowledge these sources by means of bibliographic citations in the footnotes, endnotes or reference apparatus of publications.

Deposit Requirement: Users of CPANDA data collections are requested to forward citations or copies of publications resulting from analysis of CPANDA data collections to the archive.

Access Conditions (CPANDA): For detailed information about conditions for use of CPANDA data collections, please see the End User Agreement posted on the CPANDA web site.

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Related Materials

Related Data Sets

  • Davis, James Allan, Tom W. Smith, and Peter V. Marsden. 2003. GENERAL SOCIAL SURVEY [1993 - 2002, UNITED STATES] [computer file]. Chicago, IL: National Opinion Research Center [producer]; Storrs, CT: The Roper Center for Public Opinion Research, University of Connecticut [distributer].View...

Research Guides

  • Audiences: Overview of Available Data View...

Related Publications

  • Marsden, Peter V. and Joseph F. Swingle, 1994. "Conceptualizing and measuring culture in surveys: Values, strategies, and symbols." Poetics, 22: 269-289.
  • DiMaggio, Paul. 1996. "Are Art-Museum Visitors Different from Other People? The Relationship between Attendance and Social and Political Attitudes in the United States." Poetics 24: 161-80
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Data Files Description

File Name: a00006

Contents of Files:

Overall Case Count: 1606

Overall Variable Count: 652

Logical Record Length: 845

Records per Case: 1

Type of File: ASCII data file

Data Format: logical record length format

Place of File Production: Princeton, NJ: Cultural Policy and the Arts National Data Archive

Extent of Processing Checks

  • The Archive produced a codebook for this collection.
  • Consistency checks were performed by the archive.
  • Frequencies were provided by the archive.
  • The Archive performed recodes.
  • Data were reformatted by the archive.
  • Checks for undocumented codes were performed by the archive.

Version Statement: First CPANDA Edition, Cultural Policy and the Arts National Data Archive

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Variables

Variables can also be viewed by group:

  • CASEID
  • Sequential Record ID

Column:  1     Width:  5     Type:  numeric

  • YEAR
  • GSS YEA FOR THIS RESPONDENT

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  9999

Column:  6     Width:  4     Type:  numeric

  • ID
  • RESPONDNT ID NUMBER

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  9999

Column:  10     Width:  4     Type:  numeric

  • WRKSTAT
  • LABOR FRCE STATUS

Survey Question:  Last week were you working full time, part time, going to school, keeping house, or what?

Response Categories
Category Label Frequency
   0 NAP 0
   1 WORKING FULLTIME 809
   2 WORKING PARTTIME 167
   3 TEMP NOT WORKING 33
   4 UNEMPL, LAID OFF 52
   5 RETIRED 243
   6 SCHOOL 47
   7 KEEPING HOUSE 216
   8 OTHER 39
   9 NA 0

Column:  14     Width:  1     Type:  numeric

  • HRS1
  • NUMBER OF HOURS WORKED LAST WEEK

Survey Question:  If working full or part time: How many hours did you work last week at all jobs?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   98 DK 2
   99 NA 6
   -1 NAP 630

Column:  15     Width:  2     Type:  numeric

  • HRS2
  • NUMBER OF HOURS USUALLY WORK A WEEK

Survey Question:  If with a job, but not at work: How many hours a week do you usually work at all jobs?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   98 DK 0
   99 NA 2
   -1 NAP 1573

Column:  17     Width:  2     Type:  numeric

  • EVWORK
  • EVER WORK AS LONG AS ONE YEAR

Survey Question:  If retired, in school, keeping house, or others: Did you ever work for as long as one year?

Response Categories
Category Label Frequency
   0 NAP 1061
   1 YES 464
   2 NO 78
   8 DK 0
   9 NA 3

Column:  19     Width:  1     Type:  numeric

  • WRKSLF
  • R SELF-EMP OR WORKS FOR SOMEBODY

Survey Question:  (Are/Were) you self employed or (do/did) you work for someone else?

Response Categories
Category Label Frequency
   0 NAP 79
   1 SELF-EMPLOYED 187
   2 SOMEONE ELSE 1331
   8 DK 0
   9 NA 9

Column:  20     Width:  1     Type:  numeric

  • OCC80
  • RS CENSUS OCCUPATION CODE (1980)

Survey Question:  What kind of work do you (did you normally) do? That is, what (is/as) your job called?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  999

Response Categories
Category Label Frequency
   0 NAP 78
   990 NA 0
   998 DK 0
   999 NA 2

Column:  21     Width:  3     Type:  numeric
Text: Remarks: Coded using the U.S. Bureau of the Census 3 digit occupation and industries codes for 1980 and 2 digit 1989 GSS/NORC prestige score. See Q.2 (in the GSS Cumulative Codebook) for question text and Appendices F-H(in the GSS Cumulative Codebook) for full details and distributions. The distributions above are for the first digit of each three codes, except that missing value codes are collapsed with blanks. Commute is a two-digit variable.

  • PRESTG80
  • RS OCCUPATIONAL PRESTIGE SCORE (1980)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   0 DK,NA,NAP 80

Column:  24     Width:  2     Type:  numeric
Text: Remarks: Coded using the U.S. Bureau of the Census 3 digit occupation and industries codes for 1980 and 2 digit 1989 GSS/NORC prestige score. See Q.2 (in the GSS Cumulative Codebook) for question text and Appendices F-H(in the GSS Cumulative Codebook) for full details and distributions. The distributions above are for the first digit of each three codes, except that missing value codes are collapsed with blanks. Commute is a two-digit variable.

  • INDUS80
  • RS INDUSTRY CODE (1980)

Survey Question:  What (do/did) you actually do in that job? Tell me, what (are/were) some of your main duties? What kind of place (do/did) you work for?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  999

Response Categories
Category Label Frequency
   0 NAP 78
   990 NA 0
   998 DK 0
   999 NA 9

Column:  26     Width:  3     Type:  numeric
Text: Remarks: Coded using the U.S. Bureau of the Census 3 digit occupation and industries codes for 1980 and 2 digit 1989 GSS/NORC prestige score. See Q.2 (in the GSS Cumulative Codebook) for question text and Appendices F-H(in the GSS Cumulative Codebook) for full details and distributions. The distributions above are for the first digit of each three codes, except that missing value codes are collapsed with blanks. Commute is a two-digit variable.

  • MARITAL
  • MARITAL STATUS

Survey Question:  Are you currently--married, widowed, divorced, separated, or have you never been married?

Response Categories
Category Label Frequency
   1 MARRIED 859
   2 WIDOWED 172
   3 DIVORCED 230
   4 SEPARATED 44
   5 NEVER MARRIED 300
   9 NA 1

Column:  29     Width:  1     Type:  numeric

  • AGEWED
  • AGE WHEN FIRST MARRIED

Survey Question:  If ever married: How old were you when you first married?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   0 NAP 300
   98 DK 0
   99 NA 12

Column:  30     Width:  2     Type:  numeric
Text: Enter exact age.

  • DIVORCE
  • EVER BEEN DIVORCED OR SEPARATED

Survey Question:  If currently married or widowed: Have you ever been divorced or legally separated?

Response Categories
Category Label Frequency
   0 NAP 574
   1 YES 213
   2 NO 812
   8 DK 0
   9 NA 7

Column:  32     Width:  1     Type:  numeric

  • WIDOWED
  • EVER BEEN WIDOWED

Survey Question:  If currently married, separated, or divorced: Have you ever been widowed?

Response Categories
Category Label Frequency
   0 NAP 472
   1 YES 40
   2 NO 1075
   8 DK 0
   9 NA 19

Column:  33     Width:  1     Type:  numeric

  • SPWRKSTA
  • SPOUSE LABOR FORCE STATUS

Survey Question:  Last week was your (wife/husband) working full time, part time, going to school, keeping home, or what?

Response Categories
Category Label Frequency
   0 NAP 747
   1 WORKING FULLTIME 484
   2 WORKING PARTTIME 83
   3 TEMP NOT WORKING 18
   4 UNEMPL, LAID OFF 21
   5 RETIRED 112
   6 SCHOOL 6
   7 KEEPING HOUSE 120
   8 OTHER 12
   9 NA 3

Column:  34     Width:  1     Type:  numeric
Text: If R is currently married ask Q5 in GSS cumulative codebook. Others skip to instructions before Q8 (in GSS cumulative codebook). Remarks: See Appendix L (in the GSS Cumulative Codebook): Hours worked, for detailed distribution. The distribution for the first digit Col. 28, is given below. See Appendix N for changes across surveys. The distribution for the first digit, Col. 30, is given below. Contents of Col. 27, punch 8 (Other, Specify), available from NORC. Card B contained responses for punches 1 through 8. See Appendix N for changes across surveys.

  • SPHRS1
  • NUMBER OF HRS SPOUSE WORKED LAST WEEK

Survey Question:  If working full or part time: How many hours did (he/she)work last week, at all jobs?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   98 DK 0
   99 NA 6
   -1 NAP 1036

Column:  35     Width:  2     Type:  numeric
Text: Remarks: See Appendix L (in the GSS Cumulative Codebook): Hours worked, for detailed distribution. The distribution for the first digit Col. 28, is given below. See Appendix N for changes across surveys. The distribution for the first digit, Col. 30, is given below. Contents of Col. 27, punch 8 (Other, Specify), available from NORC. Card B contained responses for punches 1 through 8. See Appendix N for changes across surveys.

  • SPHRS2
  • NO. OF HRS SPOUSE USUALLY WORKS A WEEK

Survey Question:  If with a job but not at work: How many hours a week does (he/she) usually work, at all jobs?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   98 DK 0
   99 NA 3
   -1 NAP 1585

Column:  37     Width:  2     Type:  numeric
Text: Remarks: See Appendix L (in the GSS Cumulative Codebook): Hours worked, for detailed distribution. The distribution for the first digit Col. 28, is given below. See Appendix N for changes across surveys. The distribution for the first digit, Col. 30, is given below. Contents of Col. 27, punch 8 (Other, Specify), available from NORC. Card B contained responses for punches 1 through 8. See Appendix N for changes across surveys.

  • SPEVWORK
  • SPOUSE EVER WORK AS LONG AS A YEAR

Survey Question:  If retired, in school, keeping house, or others: Did (he/she) ever work for as long as one year?

Response Categories
Category Label Frequency
   0 NAP 1353
   1 YES 214
   2 NO 34
   8 DK 0
   9 NA 5

Column:  39     Width:  1     Type:  numeric
Text: Remarks: See Appendix L (in the GSS Cumulative Codebook): Hours worked, for detailed distribution. The distribution for the first digit Col. 28, is given below. See Appendix N for changes across surveys. The distribution for the first digit, Col. 30, is given below. Contents of Col. 27, punch 8 (Other, Specify), available from NORC. Card B contained responses for punches 1 through 8. See Appendix N for changes across surveys.

  • SPWRKSLF
  • SPOUSE SELF-EMP. OR WORKS FOR SOMEBODY

Survey Question:  (Is/Was)(he/she) self-employed or (does/did)(he/she) work for someone else?

Response Categories
Category Label Frequency
   0 NAP 781
   1 SELF-EMPLOYED 122
   2 SOMEONE ELSE 693
   8 DK 1
   9 NA 9

Column:  40     Width:  1     Type:  numeric

  • SPOCC80
  • SPOUSE CENSUS OCCUPATION CODE (1980)

Survey Question:  What kind of work (does/did) your [spouse] normally do? That is, what (is/was) (his/her) job called?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  999

Response Categories
Category Label Frequency
   0 DK,NA,NAP 781

Column:  41     Width:  3     Type:  numeric
Text: Remarks: The above questions are not coded but are used to code occupation, prestige, and industry. This survey uses the U.S. Bureau of the Census 3 digit occupation classification for 1970 and or 1980 occupations, the 2 digit Hodge, Siegel, Rossi prestige score, and the U.S. Bureau of the Census 3 digit industrial classifications for 1972-1990 and the 1980 Census occupational and industrial classifications and the NORC/GSS prestige score for 1988 to the present. Detailed occupational classifications, prestige scores and industrial classifications can be found in Appendices F, G and H (in the GSS Cumulative Codebook). See also Appendix J (in the GSS Cumulative Codebook) for socio-economic index scores. The distributions given below are for the first digit of each of the three codes. See Appendix T, GSS Methodological Report No. 59.

  • SPPRES80
  • SPOUSES OCCUPATIONAL PRESTIGE SCORE (1980)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   0 DK,NA,NAP 787

Column:  44     Width:  2     Type:  numeric
Text: Remarks: The above questions are not coded but are used to code occupation, prestige, and industry. This survey uses the U.S. Bureau of the Census 3 digit occupation classification for 1970 and or 1980 occupations, the 2 digit Hodge, Siegel, Rossi prestige score, and the U.S. Bureau of the Census 3 digit industrial classifications for 1972-1990 and the 1980 Census occupational and industrial classifications and the NORC/GSS prestige score for 1988 to the present. Detailed occupational classifications, prestige scores and industrial classifications can be found in Appendices F, G and H (in the GSS Cumulative Codebook). See also Appendix J (in the GSS Cumulative Codebook) for socio-economic index scores. The distributions given below are for the first digit of each of the three codes. See Appendix T, GSS Methodological Report No. 59.

  • SPIND80
  • SPOUSES INDUSTRY CODE (1980)

Survey Question:  What (does/did) [spouse] actually do in that job? Tell me, what (are/were) some of (his/her) main duties? What kind of place (does/did) [spouse] work for?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  999

Response Categories
Category Label Frequency
   0 DK,NA,NAP 781

Column:  46     Width:  3     Type:  numeric
Text: Remarks: The above questions are not coded but are used to code occupation, prestige, and industry. This survey uses the U.S. Bureau of the Census 3 digit occupation classification for 1970 and or 1980 occupations, the 2 digit Hodge, Siegel, Rossi prestige score, and the U.S. Bureau of the Census 3 digit industrial classifications for 1972-1990 and the 1980 Census occupational and industrial classifications and the NORC/GSS prestige score for 1988 to the present. Detailed occupational classifications, prestige scores and industrial classifications can be found in Appendices F, G and H (in the GSS Cumulative Codebook). See also Appendix J (in the GSS Cumulative Codebook) for socio-economic index scores. The distributions given below are for the first digit of each of the three codes. See Appendix T, GSS Methodological Report No. 59.

  • PAWRKSLF
  • FATHER SELF-EMP. OR WORKED FOR SOMEBODY

Survey Question:  Was he self employed or did he work for someone else?

Response Categories
Category Label Frequency
   0 NAP 207
   1 SELF-EMPLOYED 412
   2 SOMEONE ELSE 945
   8 DK 5
   9 NA 37

Column:  49     Width:  1     Type:  numeric

  • PAOCC80
  • FATHERS CENSUS OCCUPATION CODE (1980)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  999

Response Categories
Category Label Frequency
   0 NAP 197
   990 NA 0
   998 DK 0
   999 NA 42

Column:  50     Width:  3     Type:  numeric
Text: Remarks: The above questions are not coded but are used to code occupation, prestige, and industry. This survey uses the U.S. Bureau of the Census 3 digit occupation classification for 1970 and or 1980 occupations, the 2 digit Hodge, Siegel, Rossi prestige score, and the U.S. Bureau of the Census 3 digit industrial classifications for 1972-1990 and the 1980 Census occupational and industrial classifications and the NORC/GSS prestige score for 1988 to the present. Detailed occupational classifications, prestige scores and industrial classifications can be found in Appendices F, G and H (in the GSS Cumulative Codebook). See also Appendix J (in the GSS Cumulative Codebook) for socio-economic index scores. The distributions given below are for the first digit of each of the three codes. See Appendix T, GSS Methodological Report No. 59.

  • PAPRES80
  • FATHERS OCCUPATIONAL PRESTIGE SCORE (1980)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   0 DK,NA,NAP 239

Column:  53     Width:  2     Type:  numeric
Text: Remarks: The above questions are not coded but are used to code occupation, prestige, and industry. This survey uses the U.S. Bureau of the Census 3 digit occupation classification for 1970 and or 1980 occupations, the 2 digit Hodge, Siegel, Rossi prestige score, and the U.S. Bureau of the Census 3 digit industrial classifications for 1972-1990 and the 1980 Census occupational and industrial classifications and the NORC/GSS prestige score for 1988 to the present. Detailed occupational classifications, prestige scores and industrial classifications can be found in Appendices F, G and H (in the GSS Cumulative Codebook). See also Appendix J (in the GSS Cumulative Codebook) for socio-economic index scores. The distributions given below are for the first digit of each of the three codes. See Appendix T, GSS Methodological Report No. 59.

  • PAIND80
  • FATHERS INDUSTRY CODE (1980)

Survey Question:  What did he actually do in that job? Tell me, what were some of his main duties? What kind of place did he work for?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  999

Response Categories
Category Label Frequency
   0 NAP 197
   990 NA 3
   998 DK 0
   999 NA 38

Column:  55     Width:  3     Type:  numeric
Text: Remarks: The above questions are not coded but are used to code occupation, prestige, and industry. This survey uses the U.S. Bureau of the Census 3 digit occupation classification for 1970 and or 1980 occupations, the 2 digit Hodge, Siegel, Rossi prestige score, and the U.S. Bureau of the Census 3 digit industrial classifications for 1972-1990 and the 1980 Census occupational and industrial classifications and the NORC/GSS prestige score for 1988 to the present. Detailed occupational classifications, prestige scores and industrial classifications can be found in Appendices F, G and H (in the GSS Cumulative Codebook). See also Appendix J (in the GSS Cumulative Codebook) for socio-economic index scores. The distributions given below are for the first digit of each of the three codes. See Appendix T, GSS Methodological Report No. 59.

  • SIBS
  • NUMBER OF BROTHERS AND SISTERS

Survey Question:  How many brothers and sisters did you have? Please count those born alive but no longer living. as well as those alive now. Also include stepbrothers and stepsisters, and children adopted by your parents.

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  99

Response Categories
Category Label Frequency
   98 DK 3
   99 NA 3

Column:  58     Width:  2     Type:  numeric

  • CHILDS
  • NUMBER OF CHILDREN

Survey Question:  How many children have you ever had? Please count all that were born alive at any time (including any you had from a previous marriage).

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 EIGHT OR MORE 21
   9 NA 5

Column:  60     Width:  1     Type:  numeric

  • AGE
  • AGE OF RESPONDENT

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  97

Response Categories
Category Label Frequency
   98 DK 0
   99 NA 5

Column:  61     Width:  2     Type:  numeric
Text: Remarks: Data of birth has been recoded into actual age in Cols. 56 and 57. See Appendix D: Recodes (in GSS Cumulative Codebook). See Appendix E: Age Distributions (in GSS Cumulative Codebook), for detailed responses. See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • EDUC
  • HIGHEST YEAR OF SCHOOL COMPLETED

Survey Question:  What is the highest grade in elementary or high school that you finished and got credit for? If finished 9th-12th grade or DK: Did you ever get a high school diploma or a GED certificate? Did you complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did you complete? Do you have any college degree? (IF Yes: What degree or degrees?)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  96

Response Categories
Category Label Frequency
   97 NAP 0
   98 DK 4
   99 NA 0

Column:  63     Width:  2     Type:  numeric
Text: Code exact grade or highest degree earned. See Appendix D Recodes (in GSS Cumulative Codebook), for a discussion of original format of Qs 15-18 (in GSS Cumulative Codebook). See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • PAEDUC
  • HIGHEST YEAR SCHOOL COMPLETED, FATHER

Survey Question:  What is the highest grade in elementary or high school that your father (father substitute) finished and got credit for? If finished 9th-12th grade or DK: Did he ever get a high school diploma or a GED certificate? Did he complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did he complete? Does he have any college degree? (IF Yes: What degree or degrees?)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  96

Response Categories
Category Label Frequency
   97 NAP 197
   98 DK 185
   99 NA 29

Column:  65     Width:  2     Type:  numeric
Text: Code exact grade or highest degree earned.

  • MAEDUC
  • HIGHEST YEAR SCHOOL COMPLETED, MOTHER

Survey Question:  What is the highest grade in elementary or high school that your mother (mother substitute) finished and got credit for? If finished 9th-12th grade or DK: Did she ever get a high school diploma or a GED certificate? Did she complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did she complete? Does she have any college degree? (IF Yes: What degree or degrees?)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  96

Response Categories
Category Label Frequency
   97 NAP 41
   98 DK 159
   99 NA 27

Column:  67     Width:  2     Type:  numeric
Text: Code exact grade or highest degree earned.

  • SPEDUC
  • HIGHEST YEAR SCHOOL COMPLETED, SPOUSE

Survey Question:  What is the highest grade in elementary or high school that your spouse finished and got credit for? If finished 9th-12th grade or DK: Did (he/she) ever get a high school diploma or a GED certificate? Did (he/she) complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did (he/she) complete? Does (he/she) have any college degree? (IF Yes: What degree or degrees?)

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  96

Response Categories
Category Label Frequency
   97 NAP 747
   98 DK 6
   99 NA 5

Column:  69     Width:  2     Type:  numeric
Text: Code exact grade or highest degree earned.

  • DEGREE
  • RS HIGHEST DEGREE

Survey Question:  What is the highest grade in elementary or high school that you finished and got credit for? If Finished 9th-12th grade or DK: Did you ever get a high school diploma or a GED certificate? Did you complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did you complete? Do you have any college degree? (IF Yes: What degree or degrees?)

Response Categories
Category Label Frequency
   0 LT HIGH SCHOOL 294
   1 HIGH SCHOOL 840
   2 JUNIOR COLLEGE 97
   3 BACHELOR 253
   4 GRADUATE 118
   7 NAP 0
   8 DK 2
   9 NA 2

Column:  71     Width:  1     Type:  numeric
Text: Code exact grade or highest degree earned. See Appendix D Recodes (in GSS Cumulative Codebook), for a discussion of original format of Qs 15-18 (in GSS Cumulative Codebook). See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • PADEG
  • FATHERS HIGHEST DEGREE

Survey Question:  What is the highest grade in elementary or high school that your father (father substitute) finished and got credit for? If finished 9th-12th grade or DK: Did he ever get a high school diploma or a GED certificate? Did he complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did he complete? Does he have any college degree? (IF Yes: What degree or degrees?)

Response Categories
Category Label Frequency
   0 LT HIGH SCHOOL 597
   1 HIGH SCHOOL 457
   2 JUNIOR COLLEGE 26
   3 BACHELOR 131
   4 GRADUATE 76
   7 NAP 197
   8 DK 98
   9 NA 24

Column:  72     Width:  1     Type:  numeric
Text: Code exact grade or highest degree earned. See Appendix D Recodes (in GSS Cumulative Codebook), for a discussion of original format of Qs 15-18 (in GSS Cumulative Codebook). See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • MADEG
  • MOTHERS HIGHEST DEGREE

Survey Question:  What is the highest grade in elementary or high school that your mother (mother substitute) finished and got credit for? If finished 9th-12th grade or DK: Did she ever get a high school diploma or a GED certificate? Did she complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did she complete? Does she have any college degree? (IF Yes: What degree or degrees?)

Response Categories
Category Label Frequency
   0 LT HIGH SCHOOL 571
   1 HIGH SCHOOL 697
   2 JUNIOR COLLEGE 43
   3 BACHELOR 103
   4 GRADUATE 30
   7 NAP 41
   8 DK 100
   9 NA 21

Column:  73     Width:  1     Type:  numeric
Text: Code exact grade or highest degree earned. See Appendix D Recodes (in GSS Cumulative Codebook), for a discussion of original format of Qs 15-18 (in GSS Cumulative Codebook). See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • SPDEG
  • SPOUSES HIGHEST DEGREE

Survey Question:  What is the highest grade in elementary or high school that your spouse finished and got credit for? If finished 9th-12th grade or DK: Did (he/she) ever get a high school diploma or a GED certificate? Did (he/she) complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? If Yes: How many years did (he/she) complete? Does (he/she) have any college degree? (IF Yes: What degree or degrees?)

Response Categories
Category Label Frequency
   0 LT HIGH SCHOOL 133
   1 HIGH SCHOOL 454
   2 JUNIOR COLLEGE 44
   3 BACHELOR 148
   4 GRADUATE 72
   7 NAP 747
   8 DK 5
   9 NA 3

Column:  74     Width:  1     Type:  numeric
Text: Code exact grade or highest degree earned. See Appendix D Recodes (in GSS Cumulative Codebook), for a discussion of original format of Qs 15-18 (in GSS Cumulative Codebook). See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • SEX
  • RESPONDENTS SEX

Response Categories
Category Label Frequency
   1 MALE 685
   2 FEMALE 921

Column:  75     Width:  1     Type:  numeric
Text: Interviewer coded. See Appendix T, GSS methodological Report No. 9. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56.

  • RACE
  • RACE OF RESPONDENT

Survey Question:  What race do you consider yourself?

Response Categories
Category Label Frequency
   1 WHITE 1347
   2 BLACK 179
   3 OTHER 80

Column:  76     Width:  1     Type:  numeric
Text: Code without asking only if there is no doubt in your mind. Record verbatim and code. Remarks: Interviewer coded except in cases where question suggested was asked. Punch 3 in Col. 71 (Other Specify) included 1 Aleut, 154 American Indian, 1 Arab, 139 Asian, 1 Chamorro, 24 Chinese, 1 Chinese/Japanese, 1 Creole, 2 Cuban, 1 Dominican, 1 Egyptian, 38 Filipino, 1 Guyanese, 6 Hawaiian, 6 Hindu, 267 Hispanic, 1 Hmong, 4 Human, 31 Indian (Asian), 1 Indonesian, 1 Israelite, 3 Iranian, 1 Jamaican, 29 Japanese, 11 Korean, 3 Loas, 4 Latin, 3 Latino, 2 Lebanese, 1 Malaysian, 2 Mestizo, 59 Mexican, 3 Mulatto, 18 Native American, 49 Oriental, 5 Pacific Island, 3 Polynesian, 22 Puerto Rican, 30 Spanish, 2 Thai, 3 Vietnamese, 1 West Indies, 8 "Mixed", 1 "mixed bag", 1 "person of color", "1/2 American Indian, 1/2 Hispanic", 1 "halfbreed", 5 "Brown" and 3 "Yellow", 2 Amerasian", 2 "Biracial", 1 "Black and Asian", and 1 "Black and White", 1 "Black, American Indian/White", 1 "Euro-Asian", 1 "don't have one, just me", 1 "White+Mexican", 2 "1/2 Caucasian, 1/2 Philipins", 1 "African Cherokee", 1 "Mexican and Indian", 1 "American/Bangdi" and 1 "wheat color." If planning to perform trend analysis wit this variable, please consult GSS Methodological Report No. 56. See also GSS Methodological Reports 85 and 89.

  • RES16
  • TYPE OF PLACE LIVED IN WHEN 16 YRS OLD

Survey Question:  Which if the categories on this card comes closest to the type of place you were living in when you were 16 years old?

Response Categories
Category Label Frequency
   1 COUNTRY,NONFARM 187
   2 FARM 288
   3 TOWN LT 50000 466
   4 50000 TO 250000 220
   5 BIG-CITY SUBURB 205
   6 CITY GT 250000 236
   8 DK 2
   9 NA 2

Column:  77     Width:  1     Type:  numeric
Text: Card C contained responses for Punches 1 to 6.

  • REG16
  • REGION OF RESIDENCE, AGE 16

Survey Question:  In what state or foreign country were you living when you were 16 years old?

Response Categories
Category Label Frequency
   0 FOREIGN 84
   1 NEW ENGLAND 57
   2 MIDDLE ATLANTIC 244
   3 E. NOR. CENTRAL 332
   4 W. NOR. CENTRAL 136
   5 SOUTH ATLANTIC 223
   6 E. SOU. CENTRAL 137
   7 W. SOU. CENTRAL 155
   8 MOUNTAIN 66
   9 PACIFIC 172

Column:  78     Width:  1     Type:  numeric
Text: New England = Main, Vermont, New Hampshire, Massachusetts, Connecticut, Rhode Island. Middle Atlantic = New York, New Jersey, Pennsylvania. East North Central = Wisconsin, Illinois, Indiana, Michigan, Ohio. West North Central = Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska, Kansas. South Atlantic = Delaware, Maryland, West Virginia, Virginia, North Carolina, South Carolina, Georgia, Florida, District of Columbia. East South Central = Kentucky, Tennessee, Alabama, Mississippi. West South Central = Arkansas, Oklahoma, Louisiana, Texas. Mountain = Montana, Idaho, Wyoming, Nevada, Utah, Colorado, Arizona, New Mexico. Pacific = Washington, Oregon, California, Alaska, Hawaii.

  • MOBILE16
  • GEOGRAPHIC MOBILITY SINCE AGE 16

Survey Question:  When you were 16 years old, were you living in this same (city/town/county)?

Response Categories
Category Label Frequency
   1 SAME CITY 662
   2 SAME ST,DIF CITY 426
   3 DIFFERENT STATE 515
   8 DK 0
   9 NA 3

Column:  79     Width:  1     Type:  numeric
Text: Refer to region codes below and enter code number in box. Remarks: See Appendix D: Recodes (in GSS Cumulative Codebook), for discussion of the recoding of the original question.

  • FAMILY16
  • LIVING WITH PARENTS WHEN 16 YRS OLD

Survey Question:  Were you living with both your own mother and father around the time you were 16? (If no: With whom were you living around that time?)(If R. married or left home by age 16, probe: "Before that.")

Response Categories
Category Label Frequency
   0 OTHER 33
   1 MOTHER & FATHER 1192
   2 FATHER & STPMOTHER 33
   3 MOTHER & STPFATHER 72
   4 FATHER 34
   5 MOTHER 166
   6 MALE RELATIVE 7
   7 FEMALE RELATIVE 31
   8 AND F RELATIVES 38
   9 NA 0

Column:  80     Width:  1     Type:  numeric

  • FAMDIF16
  • REASON NOT LIVING WITH PARENTS

Survey Question:  If not living with both own mother and father: What happened?

Response Categories
Category Label Frequency
   0 NAP 1192
   1 PARENT DIED 143
   2 DIVORCE,SEPARATED 192
   3 ARMED FORCES 0
   4 INSTITUTION 0
   5 OTHER 72
   8 DK 7
   9 NA 0

Column:  81     Width:  1     Type:  numeric
Text: Contents of Punches 6, 7, 0 in Col. 75 (Other specify) are available from NORC. See Appendix N (in GSS Cumulative Codebook) for changes across surveys. If planning to perform trend analysis with FAMILY16, please consult GSS Methodological Report No. 56.

  • MAWORK
  • MOTHERS EMPLOYMENT SINCE MARRIAGE

Survey Question:  Did your mother ever work for pay as long as a year after she was marries?

Response Categories
Category Label Frequency
   0 NAP 166
   1 YES 940
   2 NO 449
   8 DK 37
   9 NA 14

Column:  82     Width:  1     Type:  numeric
Text: Ask only for respondents who lived with own mother (see Q27 in GSS cumulative codebook): (Others skip to Q29 in GSS cumulative codebook.)

  • MAWKBORN
  • MOTHERS EMPLOYMENT AFTER R WAS BORN

Survey Question:  Did she [your mother] work for as long as a year before you started first grade?

Response Categories
Category Label Frequency
   0 NAP 652
   1 YES 418
   2 NO 486
   8 DK 32
   9 NA 18

Column:  83     Width:  1     Type:  numeric

  • INCOM16
  • RS FAMILY INCOME WHEN 16 YRS OLD

Survey Question:  Thinking about the time when you were 16 years old, compared with American families in general then, would you say your family income was--far below average, below average, average, above average, or far above average? (Probe: Just your best guess.)

Response Categories
Category Label Frequency
   1 FAR BELOW AVERAGE 116
   2 BELOW AVERAGE 393
   3 AVERAGE 795
   4 ABOVE AVERAGE 252
   5 FAR ABOVE AVERAGE 34
   7 LIVED IN INSTITUTION 0
   8 DK 12
   9 NA 4
   D NAP 0

Column:  84     Width:  1     Type:  numeric

  • BORN
  • WAS R BORN IN THIS COUNTRY

Survey Question:  Were you born in this country?

Response Categories
Category Label Frequency
   0 NAP 0
   1 YES 1481
   2 NO 117
   8 DK 0
   9 NA 8

Column:  85     Width:  1     Type:  numeric

  • PARBORN
  • WERE RS PARENTS BORN IN THIS COUNTRY

Survey Question:  Were both your parents born in this country?

Response Categories
Category Label Frequency
   0 BOTH IN U.S 1351
   1 MOTHER ONLY 36
   2 FATHER ONLY 33
   3 MOTHER; FA. DK 3
   4 NOT MOTHER;FA.DK 1
   5 FATHER; MO.DK 0
   6 NOT FATHER;MO.DK 0
   7 DK FOR BOTH 5
   8 NEITHER IN U.S 167
   9 NA 10
   D NAP 0

Column:  86     Width:  1     Type:  numeric
Text: If respondent is uncertain of parent use same persons as in Qs 8, 16, 17, 20 and 21 in GSS cumulative codebook.

  • GRANBORN
  • HOW MANY GRANDPARENTS BORN OUTSIDE U.S.

Survey Question:  Were all of your four grandparents born in this country? If no ask: How many were born outside the United States?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   0 ALL IN U.S 925
   8 DK 14
   9 NA 11
   D NAP 83

Column:  87     Width:  1     Type:  numeric

  • HOMPOP
  • NUMBER OF PERSONS IN HOUSEHOLD

Survey Question:  Household size and Composition: Number of household members.

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  97

Response Categories
Category Label Frequency
   98 DK 0
   99 NA 0

Column:  88     Width:  2     Type:  numeric

  • BABIES
  • HOUSEHOLD MEMBERS LESS THAN 6 YRS OLD

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 8 OR MORE 0
   9 NA 3

Column:  90     Width:  1     Type:  numeric
Text: Household size and Composition: Number of household members.

  • PRETEEN
  • HOUSEHOLD MEMBERS 6 THRU 12 YRS OLD

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 8 OR MORE 0
   9 NA 4

Column:  91     Width:  1     Type:  numeric
Text: Household size and Composition: Number of members 6 to 12 years.

  • TEENS
  • HOUSEHOLD MEMBERS 13 THRU 17 YRS OLD

Survey Question:  Household size and Composition: Number of members 13 to 17 years old.

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 8 OR MORE 0
   9 NA 0

Column:  92     Width:  1     Type:  numeric

  • ADULTS
  • HOUSEHOLD MEMBERS 18 YRS AND OLDER

Survey Question:  Household size and Composition: Number of members over 17 years old.

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 8 OR MORE 0
   9 NA 0

Column:  93     Width:  1     Type:  numeric
Text: See Appendices D and N (in GSS Cumulative Codebook) for recodes and wording changes. See Appendix T, GSS Methodological Report No. 3. See Appendix A (in GSS Cumulative Codebook) for use of 34D as weight. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56.

  • UNRELAT
  • NUMBER IN HOUSEHOLD NOT RELATED

Survey Question:  Is everyone in the household related to you in some way? If no: How many persons in the household are not related to you in any way?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 8 OR MORE 0
   9 NA 6
   D NAP 436

Column:  94     Width:  1     Type:  numeric
Text: See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • EARNRS
  • HOW MANY IN FAMILY EARNED MONEY

Survey Question:  Just thinking about your family now--those people in the household who are related to you...How many persons in the family, including yourself, earned any money last year--1992--from any job or employment?

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  7

Response Categories
Category Label Frequency
   8 EIGHT OR MORE 0
   9 NA 20

Column:  95     Width:  1     Type:  numeric

  • INCOME
  • TOTAL FAMILY INCOME

Survey Question:  In which of these groups did your total family income, from all sources, fall last year before taxes, that is? Just tell me the letter.

Response Categories
Category Label Frequency
   0 NAP 0
   1 LT $1000 17
   2 $1000 TO 2999 20
   3 $3000 TO 3999 25
   4 $4000 TO 4999 34
   5 $5000 TO 5999 34
   6 $6000 TO 6999 24
   7 $7000 TO 7999 29
   8 $8000 TO 9999 39
   9 $10000 - 14999 146
   10 $15000 - 19999 122
   11 $20000 - 24999 139
   12 $25000 OR MORE 838
   13 REFUSED 71
   98 DK 57
   99 NA 11

Column:  96     Width:  2     Type:  numeric
Text: Card D contained responses for Punches 01-12 only. See Qs. 38, 39, 40, 42, 44 and 46 (in GSS Cumulative Codebook) comparable questions in 1972, 1977, 1980 and 1982-1990. For 1972, 1977, 1978, 1980, and 1982-2000 income has been recoded from these questions to match the categories in Q. 37 (in GSS Cumulative Codebook). If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56.

  • RINCOME
  • RESPONDENTS INCOME

Survey Question:  Did you earn any income from (occupation described on Q2) in 1992? If Yes: In which of these groups did your earnings from (occupation in Q2) for last year --1992-- fall? That is, before taxes or other deductions. Just tell me the letter.

Response Categories
Category Label Frequency
   0 NAP 523
   1 LT $1000 26
   2 $1000 TO 2999 38
   3 $3000 TO 3999 33
   4 $4000 TO 4999 28
   5 $5000 TO 5999 24
   6 $6000 TO 6999 25
   7 $7000 TO 7999 16
   8 $8000 TO 9999 34
   9 $10000 - 14999 120
   10 $15000 - 19999 132
   11 $20000 - 24999 123
   12 $25000 OR MORE 421
   13 REFUSED 48
   98 DK 11
   99 NA 4

Column:  98     Width:  2     Type:  numeric
Text: Card E contained responses for Punches 01-12 only. Q38 (in GSS Cumulative Codebook) responses are not in these data, but are contained in Q 38A (in GSS Cumulative Codebook). See Qs. 41, 43, 45 and 47 (in GSS Cumulative Codebook) for comparable questions in 1977, 1978-1980, 1982-2000 surveys.

  • REGION
  • REGION OF INTERVIEW

Response Categories
Category Label Frequency
   0 NOT ASSIGNED 0
   1 NEW ENGLAND 60
   2 MIDDLE ATLANTIC 230
   3 E. NOR. CENTRAL 299
   4 W. NOR. CENTRAL 118
   5 SOUTH ATLANTIC 278
   6 E. SOU. CENTRAL 129
   7 W. SOU. CENTRAL 152
   8 MOUNTAIN 86
   9 PACIFIC 254

Column:  100     Width:  1     Type:  numeric
Text: Region of interview. See Q. 26 (in GSS Cumulative Codebook) for a listing of states within regions, or refer to "Statistical Abstract" (any edition), published by U.S. Bureau of the Census, for this information.

  • XNORCSIZ
  • EXPANDED N.O.R.C. SIZE CODE

Response Categories
Category Label Frequency
   0 NOT ASSIGNED 0
   1 CITY GT 250000 265
   2 CITY,50-250000 190
   3 SUBURB, LRG CITY 366
   4 SUBURB, MED CITY 194
   5 UNINC,LRG CITY 72
   6 UNINC,MED CITY 106
   7 CITY,10-49999 131
   8 TOWN GT 2500 101
   9 SMALLER AREAS 117
   10 OPEN COUNTRY 64

Column:  101     Width:  2     Type:  numeric
Text: a. A suburb is defined as any incorporated area or unincorporated area of 1,000+ (or listed as such in the U.S. Census PC (1)-A books) within the boundaries of an SMSA but not within the limits of a central city of the SMSA. Some SMSAs have more than one central city, e.g. Minneapolis-St-Paul In these cases, both cities are coded as central cities. b. If such an instance were to arise, a city of 50,000 or over which is not part of an SMSA would be coded '7'. c. Unincorporated areas of over 2,499 are treated as incorporated areas of the same size. Unincorporated areas under 1,000 are not listed by the Census and are treated here as part of the next larger civil division, usually the township. The source of the data is the 1970 U.S. Census population figures published in the PC (1)-A series. Tables 6 and 10. Practically, the codes '6' and '10' are localities not listed in Table 6 (Population of Incorporated Places and Unincorporated Places over 1,000). For the 1980 frame cases analogous tables from the 1980 Census were used. Remarks: See Appendix T, GSS Methodological Report No. 4.

  • SRCBELT
  • SRC BELTCODE

Response Categories
Category Label Frequency
   0 NOT ASSIGNED 0
   1 12 LRGST SMSA'S 110
   2 SMSA'S 13-100 237
   3 SUBURB, 12 LRGST 220
   4 SUBURB, 13-100 247
   5 OTHER URBAN 609
   6 OTHER RURAL 183

Column:  103     Width:  1     Type:  numeric
Text: The SRC belt code is described in Appendix D: Recodes (in GSS Cumulative Codebook). See Appendix N (in GSS Cumulative Codebook) for changes across surveys. See Appendix T, GSS Methodological Report No. 4.

  • SIZE
  • SIZE OF PLACE IN 1000S

Range of Valid Numeric Responses
  Minimum value= 0      Maximum value=  9999

Response Categories
Category Label Frequency
   -1 NOT ASSIGNED 0

Column:  104     Width:  4     Type:  numeric
Text: Size of place in thousands -- A 4-digit number which provides actual size of place of interview. Remember when using this code to add 3 zeros. Remarks: This code is the population to the nearest 1,000 of the smallest civil division listed by the U.S. Census (city, town, other incorporated area over 1,000 in population, township, division, etc.) which encompasses the segment. If a segment falls into more than one locality, the following rules apply in determining the locality for which the rounded population figure is coded. If the predominance of the listings for any segment are in one of the localities, the rounded population of that locality is coded. If the listings are distributed equally over localities in the segment, and the localities are all cities, towns, or villages, the rounded population of the larger city or town is coded. The same is true if the localities are all rural townships or divisions. If the listings are distributed equally over localities in the segment and the localities include a town or a village and a rural township or division, the rounded population of the town or village is coded. The source of the data is the 1970 U.S. Census population figures published in the PC(1)-A series, Tables 6 and 10. For cases from the 1980 and 1990 frames analogous tables from the 1980 and 1990 Censuses were used. See Appendix N (in GSS Cumulative Codebook) for changes across surveys.

  • PARTYID
  • POLITICAL PARTY AFFILIATION

Survey Question:  Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?

Response Categories
Category Label Frequency
   0 STRONG DEMOCRAT 227
   1 NOT STR DEMOCRAT 321
   2 IND,NEAR DEM 190
   3 INDEPENDENT 205
   4 IND,NEAR REP 158
   5 NOT STR REPUBLICAN 299
   6 STRONG REPUBLICAN 180
   7 OTHER PARTY 17
   8 DK 0
   9 NA 9

Column:  108     Width:  1     Type:  numeric
Text: See Appendix D: Recodes (in GSS Cumulative Codebook) for original question format and method of recoding. See Appendix N (in GSS Cumulative Codebook) for changes across surveys. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56.

  • VOTE88
  • DID R VOTE IN 1988 ELECTION

Survey Question:  In 1988, you remember that Dukakis ran for President on the Democratic ticket against Bush for the Republicans. Do you remember for sure whether or not you voted in that election?

Response Categories
Category Label Frequency
   0 NAP 0
   1 VOTED 1007
   2 DID NOT VOTE 441
   3 NOT ELIGIBLE 117
   4 REFUSED 5
   6 WLDNT VT-RELIG 0
   8 DK 30
   9 NA 6

Column:  109     Width:  1     Type:  numeric

  • PRES88
  • VOTE FOR DUKAKIS OR BUSH

Survey Question:  If voted: Did you vote for Dukakis or Bush?

Response Categories
Category Label Frequency
   0 NAP 593
   1 DUKAKIS 282
   2 BUSH 686
   3 OTHER 10
   4 REFUSED 0
   5 NO PRES. VOTE 4
   8 DK 15
   9 NA 16

Column:  110     Width:  1     Type:  numeric

  • IF88WHO
  • WHO WOULD R HAVE VOTED FOR-1988 ELECTION

Survey Question:  If did not vote or ineligible: Who would you have voted for, for President, if you had voted?

Response Categories
Category Label Frequency
   0 NAP 1045
   1 DUKAKIS 93
   2 BUSH 282
   3 OTHER 34
   4 WOULDNT VOTE 0
   5 REFUSED 0
   8 DK 112
   9 NA 40

Column:  111     Width:  1     Type:  numeric

  • VOTE92
  • DID R VOTE IN 1992 ELECTION

Survey Question:  In 1992, you remember that Clinton ran for President on the Democratic ticket against Bush for the Republicans and Perot as an Independent. Do you remember for sure whether or not you voted in that election?

Response Categories
Category Label Frequency
   0 NAP 0
   1 VOTED 1109
   2 DID NOT VOTE 446
   3 NOT ELIGIBLE 36
   4 REFUSED 6
   8 DK 5
   9 NA 4

Column:  112     Width:  1     Type:  numeric

  • PRES92
  • VOTE FOR CLINTON, BUSH, PEROT

Survey Question:  If voted: Did you vote for Clinton, Bush, or Perot?

Response Categories
Category Label Frequency
   0 NAP 493
   1 CLINTON 464
   2 BUSH 416
   3 PEROT 200
   4 OTHER 4
   6 NO PRES. VOTE 2
   8 DK 8
   9 NA 19

Column:  113     Width:  1     Type:  numeric

  • IF92WHO
  • WHO WOULD R HAVE VOTED FOR-1992 ELECTION 7

Survey Question:  If did not vote or ineligible: Who would you have voted for, for President, if you had voted?

Response Categories
Category Label Frequency
   0 NAP 1118
   1 CLINTON 191
   2 BUSH 115
   3 PEROT 96
   4 OTHER 13
   5 WOULDNT VOTE 0
   8 DK 58
   9 NA 15

Column:  114     Width:  1     Type:  numeric

  • POLVIEWS
  • THINK OF SELF AS LIBERAL OR CONSERVATIVE

Survey Question:  We hear a lot of talk these days about liberals and conservatives. I'm going to show you a seven point scale on which the political views that people might hold are arranged from extremely liberal--point 1--to extremely conservative--point 7. Where would you place yourself on this scale?

Response Categories
Category Label Frequency
   0 NAP 0
   1 EXTREMELY LIBERAL 30
   2 LIBERAL 180
   3 SLIGHTLY LIBERAL 203
   4 MODERATE 575
   5 SLGHTLY CONSERVATIVE 264
   6 CONSERVATIVE 254
   7 EXTRMLY CONSERVATIVE 42
   8 DK 49
   9 NA 9

Column:  115     Width:  1     Type:  numeric
Text: Hand card Q.

  • NATSPAC
  • SPACE EXPLORATION PROGRAM

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. First: Space exploration program, are we spending too much, too little or about the right amount on the space exploration program?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 67
   2 ABOUT RIGHT 295
   3 TOO MUCH 380
   8 DK 54
   9 NA 3

Column:  116     Width:  1     Type:  numeric

  • NATENVIR
  • IMPROVING & PROTECTING ENVIRONMENT

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. Improving and protecting the environment, are we spending too much, too little or about the right amount on improving and protecting the environment?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 445
   2 ABOUT RIGHT 239
   3 TOO MUCH 74
   8 DK 36
   9 NA 5

Column:  117     Width:  1     Type:  numeric

  • NATHEAL
  • IMPROVING & PROTECTING NATIONS HEALTH

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. Improving and protecting the nation's health, are we spending too much, too little or about the right amount on improving and protecting the nations health?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 571
   2 ABOUT RIGHT 137
   3 TOO MUCH 60
   8 DK 26
   9 NA 5

Column:  118     Width:  1     Type:  numeric

  • NATCITY
  • SOLVING PROBLEMS OF BIG CITIES

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. Solving the problems of the big cities, are we spending too much, too little or about the right amount on solving the problems of the big cities?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 429
   2 ABOUT RIGHT 175
   3 TOO MUCH 92
   8 DK 96
   9 NA 7

Column:  119     Width:  1     Type:  numeric

  • NATCRIME
  • HALTING RISING CRIME RATE

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. Halting the rising crime rate, are we spending too much, too little or about the right amount halting the rising crime rate?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 563
   2 ABOUT RIGHT 163
   3 TOO MUCH 39
   8 DK 29
   9 NA 5

Column:  120     Width:  1     Type:  numeric

  • NATDRUG
  • DEALING WITH DRUG ADDICTION

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. Dealing with drug addiction, are we spending too much, too little or about the right amount on

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 476
   2 ABOUT RIGHT 217
   3 TOO MUCH 63
   8 DK 36
   9 NA 7

Column:  121     Width:  1     Type:  numeric

  • NATEDUC
  • IMPROVING NATIONS EDUCATION SYSTEM

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Improving the nation's education system, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 532
   2 ABOUT RIGHT 196
   3 TOO MUCH 46
   8 DK 20
   9 NA 5

Column:  122     Width:  1     Type:  numeric

  • NATRACE
  • IMPROVING THE CONDITIONS OF BLACKS

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Improving the conditions of Blacks, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 284
   2 ABOUT RIGHT 315
   3 TOO MUCH 121
   8 DK 73
   9 NA 6

Column:  123     Width:  1     Type:  numeric

  • NATARMS
  • MILITARY, ARMAMENTS, AND DEFENSE

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. The military, armaments and defense, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 82
   2 ABOUT RIGHT 353
   3 TOO MUCH 330
   8 DK 30
   9 NA 4

Column:  124     Width:  1     Type:  numeric

  • NATAID
  • FOREIGN AID

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Foreign aid, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 39
   2 ABOUT RIGHT 165
   3 TOO MUCH 555
   8 DK 36
   9 NA 4

Column:  125     Width:  1     Type:  numeric

  • NATFARE
  • WELFARE

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Welfare, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 807
   1 TOO LITTLE 130
   2 ABOUT RIGHT 198
   3 TOO MUCH 428
   8 DK 40
   9 NA 3

Column:  126     Width:  1     Type:  numeric

  • NATROAD
  • HIGHWAYS AND BRIDGES

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Highways and bridges, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 0
   1 TOO LITTLE 603
   2 ABOUT RIGHT 764
   3 TOO MUCH 144
   8 DK 80
   9 NA 15

Column:  127     Width:  1     Type:  numeric

  • NATSOC
  • SOCIAL SECURITY

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Social security, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 0
   1 TOO LITTLE 693
   2 ABOUT RIGHT 686
   3 TOO MUCH 113
   8 DK 99
   9 NA 15

Column:  128     Width:  1     Type:  numeric

  • NATMASS
  • MASS TRANSPORTATION

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Mass transportation, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 0
   1 TOO LITTLE 554
   2 ABOUT RIGHT 702
   3 TOO MUCH 153
   8 DK 181
   9 NA 16

Column:  129     Width:  1     Type:  numeric

  • NATPARK
  • PARKS AND RECREATION

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Parks and recreation, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 0
   1 TOO LITTLE 480
   2 ABOUT RIGHT 920
   3 TOO MUCH 101
   8 DK 90
   9 NA 15

Column:  130     Width:  1     Type:  numeric

  • NATENVIY
  • THE ENVIRONMENT -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. The environment, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 470
   2 ABOUT RIGHT 225
   3 TOO MUCH 64
   8 DK 37
   9 NA 11

Column:  131     Width:  1     Type:  numeric

  • NATHEALY
  • HEALTH -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Health, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 555
   2 ABOUT RIGHT 99
   3 TOO MUCH 106
   8 DK 32
   9 NA 15

Column:  132     Width:  1     Type:  numeric

  • NATCITYY
  • ASSISTANCE TO BIG CITIES -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Assistance to big cities, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 187
   2 ABOUT RIGHT 242
   3 TOO MUCH 246
   8 DK 120
   9 NA 12

Column:  133     Width:  1     Type:  numeric

  • NATCRIMY
  • LAW ENFORCEMENT -- VERISON Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Law enforcement, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 466
   2 ABOUT RIGHT 251
   3 TOO MUCH 45
   8 DK 33
   9 NA 12

Column:  134     Width:  1     Type:  numeric

  • NATDRUGY
  • DRUG REHABILITATION -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Drug rehabilitation, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 435
   2 ABOUT RIGHT 234
   3 TOO MUCH 79
   8 DK 45
   9 NA 14

Column:  135     Width:  1     Type:  numeric

  • NATEDUCY
  • EDUCATION -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Education, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 562
   2 ABOUT RIGHT 178
   3 TOO MUCH 39
   8 DK 15
   9 NA 13

Column:  136     Width:  1     Type:  numeric

  • NATRACEY
  • ASSISTANCE TO BLACKS -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Assistance to blacks, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 188
   2 ABOUT RIGHT 306
   3 TOO MUCH 191
   8 DK 108
   9 NA 14

Column:  137     Width:  1     Type:  numeric

  • NATARMSY
  • NATIONAL DEFENSE -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. National defense, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 94
   2 ABOUT RIGHT 315
   3 TOO MUCH 355
   8 DK 31
   9 NA 12

Column:  138     Width:  1     Type:  numeric

  • NATAIDY
  • ASSISTANCE TO OTHER COUNTRIES -- VER Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Assistance to other countries, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 26
   2 ABOUT RIGHT 156
   3 TOO MUCH 593
   8 DK 19
   9 NA 13

Column:  139     Width:  1     Type:  numeric

  • NATFAREY
  • ASSISTANCE TO THE POOR -- VERSION Y

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Assistance to the poor, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 799
   1 TOO LITTLE 497
   2 ABOUT RIGHT 177
   3 TOO MUCH 95
   8 DK 25
   9 NA 13

Column:  140     Width:  1     Type:  numeric

  • NATSPACZ
  • SPACE EXPLORATION -- VERSION Z

Survey Question:  We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we are spending too much money on it, too little money, or about the right amount. Advancing space exploration, are we spending too much, too little, or about the right amount on it?

Response Categories
Category Label Frequency
   0 NAP 1606
   1 TOO LITTLE 0
   2 ABOUT RIGHT 0
   3 TOO MUCH 0
   8 DK 0
   9 NA 0

Column:  141     Width:  1     Type:  numeric

  • EQUAL3
  • GOVT SHLD INSURE JOBS AND STABLE PRICES

Survey Question:  On these cards are some opinions about the government and the economy. For each one I'd like you to tell me whether you strongly agree, somewhat agree, somewhat disagree or strongly disagree. The government must see to it that everyone has a job and that prices are stable, even if the rights of businessmen have to be restricted.

Response Categories
Category Label Frequency
   0 NAP 1606
   1 STRONGLY AGREE 0
   2 SOMEWHAT AGREE 0
   3 SOMEWHT DISAGREE 0
   4 STRNGLY DISAGREE 0
   8 NO OPINION 0
   9 NA 0

Column:  142     Width:  1     Type:  numeric

  • EQUAL4
  • RESPONSIBILITY OF GOVT TO MEET NEEDS

Survey Question:  On these cards are some opinions about the government and the economy. For each one I'd like you to tell me whether you strongly agree, somewhat agree, somewhat disagree or strongly disagree. It is the responsibility of government to meet everyone's needs, even in case of sickness, poverty, unemployment, and old age.

Response Categories
Category Label Frequency
   0 NAP 1606
   1 STRONGLY AGREE 0
   2 SOMEWHAT AGREE 0
   3 SOMEWHT DISAGREE 0
   4 STRNGLY DISAGREE 0
   8 NO OPINION 0
   9 NA 0

Column:  143     Width:  1     Type:  numeric

  • EQUAL5
  • SOCIAL WELFARE BENEFITS ARE DISINCENTIVE

Survey Question:  On these cards are some opinions about the government and the economy. For each one I'd like you to tell me whether you strongly agree, somewhat agree, somewhat disagree or strongly disagree. If social welfare benefits such as disability, unemployment compensation, and early retirement pensions are as high as they are now, it only makes people not want to work anymore.

Response Categories
Category Label Frequency
   0 NAP 1606
   1 STRONGLY AGREE 0
   2 SOMEWHAT AGREE 0
   3 SOMEWHT DISAGREE 0
   4 STRNGLY DISAGREE 0
   8 NO OPINION 0
   9 NA 0

Column:  144     Width:  1     Type:  numeric

  • EQUAL6
  • ONE IS ABLE TO LIVE WELL IN AMERICA

Survey Question:  On these cards are some opinions about the government and the economy. For each one I'd like you to tell me whether you strongly agree, somewhat agree, somewhat disagree or strongly disagree. All in all, one can live well in America.

Response Categories
Category Label Frequency
   0 NAP 1606
   1 STRONGLY AGREE 0
   2 SOMEWHAT AGREE 0
   3 SOMEWHT DISAGREE 0
   4 STRNGLY DISAGREE 0
   8 NO OPINION 0
   9 NA 0

Column:  145     Width:  1     Type:  numeric

  • EQUAL7
  • BUSINESS PROFITS ARE DISTRIBUTED FAIRLY

Survey Question:  On these cards are some opinions about the government and the economy. For each one I'd like you to tell me whether you strongly agree, somewhat agree, somewhat disagree or strongly disagree. Generally speaking, business profits are distributed fairly in the United States.

Response Categories
Category Label Frequency
   0 NAP 1606
   1 STRONGLY AGREE 0
   2 SOMEWHAT AGREE 0
   3 SOMEWHT DISAGREE 0
   4 STRNGLY DISAGREE 0
   8 NO OPINION 0
   9 NA 0

Column:  146     Width:  1     Type:  numeric

  • EQWLTH
  • SHOULD GOVT REDUCE INCOME DIFFERENCES

Survey Question:  Some people think that the government in Washington ought to reduce the income differences between the rich and the poor, perhaps by raising the taxes of wealthy families or by giving income assistance to the poor. Others think that the government should not concern itself with reducing this income difference between the rich and the poor. Here is a card with a scale from 1 to 7. Think of a score of 1 as meaning that the government ought to reduce the income differences between rich and poor, and a score of 7 meaning that the government should not concern itself with reducing income differences. What score between 1 and 7 comes closest to the way you feel? (Circle one):

Response Categories
Category Label Frequency
   0 NAP 549
   1 GOVT SHOULD DO SOMETHING TO REDUCE DIFFERENCES BETWEEN RICH AND POOR 184
   2 2 122
   3 3 201
   4 4 187
   5 5 130
   6 6 81
   7 GOVT SHOULD NOT CONCERN ITSELF WITH INCOME DIFFERENCES 130
   8 DK 18
   9 NA 4

Column:  147     Width:  1     Type:  numeric
Text: Card V contained responses for punches 1-7.

  • TAX
  • RS FEDERAL INCOME TAX

Survey Question:  Do you consider the amount of federal income tax which you have to pay as too high, about right, or too low?

Response Categories
Category Label Frequency
   0 NAP 531
   1 TOO HIGH 582
   2 ABOUT RIGHT 436
   3 TOO LOW 13
   4 R PAYS NONE<VOL.> 0
   8 DK 29
   9 NA 15

Column:  148     Width:  1     Type:  numeric
Text: In 1976, this question was asked immediately before Q. 66 in GSS cumulative codebook (spending priorities) for half of the sample with Form 1. For the half with Form 2, this question immediately followed Q. 66 in GSS cumulative codebook. See Q. 248 in GSS cumulative codebook for the split-ballot forms. See Appendix N for across survey changes. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56.

  • SPKATH
  • ALLOW ANTI-RELIGIONIST TO SPEAK

Survey Question:  There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against all churches and religion ... If such a person wanted to make a speech in your (city/town/community) against churches and religion, should he be allowed to speak, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 ALLOWED 764
   2 NOT ALLOWED 290
   8 DK 19
   9 NA 2

Column:  149     Width:  1     Type:  numeric
Text: See Appendix N, in GSS Cumulative Codebook, for across survey changes.

  • COLATH
  • ALLOW ANTI-RELIGIONIST TO TEACH

Survey Question:  There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against all churches and religion ... Should such a person be allowed to teach in a college or university, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   4 ALLOWED 556
   5 NOT ALLOWED 470
   8 DK 43
   9 NA 6

Column:  150     Width:  1     Type:  numeric
Text: See Appendix N, in GSS Cumulative Codebook, for across survey changes.

  • LIBATH
  • ALLOW ANTI-RELIGIOUS BOOK IN LIBRARY

Survey Question:  There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against all churches and religion ... If some people in your community suggested that a book he wrote against churches and religion should be taken out of your public library, would you favor removing this book, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 REMOVE 307
   2 NOT REMOVE 721
   8 DK 41
   9 NA 6

Column:  151     Width:  1     Type:  numeric
Text: See Appendix N, in GSS Cumulative Codebook, for across survey changes.

  • SPKRAC
  • ALLOW RACIST TO SPEAK

Survey Question:  Or consider a person who believes that Blacks are genetically inferior. If such a person wanted to make a speech in your community claiming that Blacks are inferior, should he be allowed to speak, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 ALLOWED 649
   2 NOT ALLOWED 397
   8 DK 26
   9 NA 3

Column:  152     Width:  1     Type:  numeric
Text: See Appendix N, in GSS Cumulative Codebook, for across survey changes.

  • COLRAC
  • ALLOW RACIST TO TEACH

Survey Question:  Or consider a person who believes that Blacks are genetically inferior. Should such a person be allowed to teach in a college or university, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   4 ALLOWED 465
   5 NOT ALLOWED 563
   8 DK 41
   9 NA 6

Column:  153     Width:  1     Type:  numeric

  • LIBRAC
  • ALLOW RACISTS BOOK IN LIBRARY

Survey Question:  Or consider a person who believes that Blacks are genetically inferior. If some people in your community suggested that a book he wrote which said Blacks are inferior should be taken out of your public library, would you favor removing this book, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 REMOVE 339
   2 NOT REMOVE 691
   8 DK 42
   9 NA 3

Column:  154     Width:  1     Type:  numeric

  • SPKCOM
  • ALLOW COMMUNIST TO SPEAK

Survey Question:  Now, I should like to ask you some questions about a man who admits he is a Communist. Suppose this admitted Communist wanted to make a speech in your community. Should he be allowed to speak, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 ALLOWED 736
   2 NOT ALLOWED 308
   8 DK 28
   9 NA 3

Column:  155     Width:  1     Type:  numeric

  • COLCOM
  • SHOULD COMMUNIST TEACHER BE FIRED

Survey Question:  Now, I should like to ask you some questions about a man who admits he is a Communist. Suppose he is teaching in a college. Should he be fired, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   4 FIRED 392
   5 NOT FIRED 602
   8 DK 76
   9 NA 5

Column:  156     Width:  1     Type:  numeric

  • LIBCOM
  • ALLOW COMMUNISTS BOOK IN LIBRARY

Survey Question:  Now, I should like to ask you some questions about a man who admits he is a Communist. Suppose he wrote a book which is in your public library. Somebody in your community suggests that the book should be removed from the library. Would you favor removing it, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 REMOVE 310
   2 NOT REMOVE 713
   8 DK 46
   9 NA 6

Column:  157     Width:  1     Type:  numeric

  • SPKMIL
  • ALLOW MILITARIST TO SPEAK

Survey Question:  Consider a person who advocates doing away with elections and letting the military run the country. If such a person wanted to make a speech in your community, should he be allowed to speak, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 ALLOWED 691
   2 NOT ALLOWED 354
   8 DK 27
   9 NA 3

Column:  158     Width:  1     Type:  numeric

  • COLMIL
  • ALLOW MILITARIST TO TEACH

Survey Question:  Consider a person who advocates doing away with elections and letting the military run the country. Should such a person be allowed to teach in a college or university, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   4 ALLOWED 510
   5 NOT ALLOWED 514
   8 DK 47
   9 NA 4

Column:  159     Width:  1     Type:  numeric

  • LIBMIL
  • ALLOW MILITARISTS BOOK IN LIBRARY

Survey Question:  Consider a person who advocates doing away with elections and letting the military run the country. Suppose he wrote a book advocating doing away with elections and letting the military run the country. Somebody in your community suggests that the book be removed from the public library. Would you favor removing it, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 REMOVE 313
   2 NOT REMOVE 721
   8 DK 37
   9 NA 4

Column:  160     Width:  1     Type:  numeric

  • SPKHOMO
  • ALLOW HOMOSEXUAL TO SPEAK

Survey Question:  And what about a man who admits that he is a homosexual? Suppose this admitted homosexual wanted to make a speech in your community. Should he be allowed to speak, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 ALLOWED 839
   2 NOT ALLOWED 199
   8 DK 35
   9 NA 2

Column:  161     Width:  1     Type:  numeric

  • COLHOMO
  • ALLOW HOMOSEXUAL TO TEACH

Survey Question:  And what about a man who admits that he is a homosexual? Should such a person be allowed to teach in a college or university, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   4 ALLOWED 733
   5 NOT ALLOWED 290
   8 DK 47
   9 NA 5

Column:  162     Width:  1     Type:  numeric

  • LIBHOMO
  • ALLOW HOMOSEXUALS BOOK IN LIBRARY

Survey Question:  And what about a man who admits that he is a homosexual? If some people in your community suggested that a book he wrote in favor of homosexuality should be taken out of your public library, would you favor removing this book, or not?

Response Categories
Category Label Frequency
   0 NAP 531
   1 REMOVE 313
   2 NOT REMOVE 713
   8 DK 45
   9 NA 4

Column:  163     Width:  1     Type:  numeric

  • CAPPUN
  • FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

Survey Question:  Do you favor or oppose the death penalty for persons convicted of murder?

Response Categories
Category Label Frequency
   0 NAP 0
   1 FAVOR 1151
   2 OPPOSE 337
   8 DK 112
   9 NA 6

Column:  164     Width:  1     Type:  numeric

  • GUNLAW
  • FAVOR OR OPPOSE GUN PERMITS

Survey Question:  Would you favor or oppose a law which would require a person to obtain a police permit before he or she could buy a gun?

Response Categories
Category Label Frequency
   0 NAP 531
   1 FAVOR 870
   2 OPPOSE 185
   8 DK 19
   9 NA 1

Column:  165     Width:  1     Type:  numeric

  • COURTS
  • COURTS DEALING WITH CRIMINALS

Survey Question:  In general, do you think the courts in this area deal too harshly or not harshly enough with criminals?

Response Categories
Category Label Frequency
   0 NAP 0
   1 TOO HARSH 54
   2 NOT HARSH ENOUGH 1300
   3 ABOUT RIGHT 156
   8 DK 88
   9 NA 8

Column:  166     Width:  1     Type:  numeric

  • WIRTAP
  • WIRETAPPING

Survey Question:  Everything considered, would you say that, in general, you approve or disapprove of wiretapping?

Response Categories
Category Label Frequency
   0 NAP 526
   1 APPROVE 245
   2 DISAPPROVE 768
   8 DK 61
   9 NA 6

Column:  167     Width:  1     Type:  numeric

  • GRASS
  • SHOULD MARIJUANA BE MADE LEGAL

Survey Question:  Do you think the use of marijuana should be made legal or not?

Response Categories
Category Label Frequency
   0 NAP 549
   1 LEGAL 234
   2 NOT LEGAL 770
   8 DK 52
   9 NA 1

Column:  168     Width:  1     Type:  numeric

  • USWARY
  • EXPECT U.S. IN WORLD WAR IN 10 YEARS

Survey Question:  Do you expect the United States to fight in another world war within the next ten years?

Response Categories
Category Label Frequency
   0 NAP 526
   1 YES 505
   2 NO 536
   8 DK 38
   9 NA 1

Column:  169     Width:  1     Type:  numeric

  • USINTL
  • TAKE ACTIVE PART IN WORLD AFFAIRS

Survey Question:  Do you think it will be best for the future of this country if we take an active part in world affairs, or if we stay out of world affairs?

Response Categories
Category Label Frequency
   0 NAP 526
   1 ACTIVE PART 725
   2 STAY OUT 306
   8 DK 49
   9 NA 0

Column:  170     Width:  1     Type:  numeric

  • USUN
  • REMAIN IN U.N. OR PULL OUT

Survey Question:  Do you think our government should continue to belong to the United Nations, or should we pull out of it now?

Response Categories
Category Label Frequency
   0 NAP 526
   1 STAY IN 920
   2 PULL OUT 106
   8 DK 53
   9 NA 1

Column:  171     Width:  1     Type:  numeric

  • COMMUN
  • FEELINGS ABOUT COMMUNISM

Survey Question:  Thinking about all the different kinds of governments in the world today, which of these statements comes closest to how you feel about Communism as a form of government? Code one.

Response Categories
Category Label Frequency
   0 NAP 531
   1 WORST KIND 486
   2 BAD, NOT WORST 378
   3 OK FOR SOME 161
   4 GOOD FORM 13
   8 DK 32
   9 NA 5

Column:  172     Width:  1     Type:  numeric

  • RUSSIA
  • LIKING FOR RUSSIA

Survey Question:  You will notice that the boxes on this card go from the highest position of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scales or how far down the scale would you rate the following countries? Russia?

Response Categories
Category Label Frequency
   0 +5 74
   1 +4 43
   2 +3 159
   3 +2 141
   4 +1 299
   5 -1 86
   6 -2 49
   7 -3 43
   8 -4 25
   9 -5 95
   D DK,NA,NAP 592

Column:  173     Width:  1     Type:  numeric

  • JAPAN
  • LIKING FOR JAPAN

Survey Question:  You will notice that the boxes on this card go from the highest position of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scales or how far down the scale would you rate the following countries? Japan?

Response Categories
Category Label Frequency
   0 +5 76
   1 +4 77
   2 +3 165
   3 +2 137
   4 +1 203
   5 -1 123
   6 -2 58
   7 -3 58
   8 -4 46
   9 -5 92
   D DK,NA,NAP 571

Column:  174     Width:  1     Type:  numeric

  • CANADA
  • LIKING FOR CANADA

Survey Question:  You will notice that the boxes on this card go from the highest position of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scales or how far down the scale would you rate the following countries? Canada?

Response Categories
Category Label Frequency
   0 +5 346
   1 +4 202
   2 +3 230
   3 +2 102
   4 +1 122
   5 -1 7
   6 -2 12
   7 -3 6
   8 -4 4
   9 -5 8
   D DK,NA,NAP 567

Column:  175     Width:  1     Type:  numeric

  • CHINA
  • LIKING FOR CHINA

Survey Question:  You will notice that the boxes on this card go from the highest position of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scales or how far down the scale would you rate the following countries? China?

Response Categories
Category Label Frequency
   0 +5 53
   1 +4 42
   2 +3 101
   3 +2 115
   4 +1 247
   5 -1 138
   6 -2 96
   7 -3 76
   8 -4 45
   9 -5 103
   D DK,NA,NAP 590

Column:  176     Width:  1     Type:  numeric

  • ISRAEL
  • LIKING FOR ISRAEL

Survey Question:  You will notice that the boxes on this card go from the highest position of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scales or how far down the scale would you rate the following countries? Israel?

Response Categories
Category Label Frequency
   0 +5 105
   1 +4 73
   2 +3 133
   3 +2 104
   4 +1 227
   5 -1 123
   6 -2 71
   7 -3 59
   8 -4 41
   9 -5 66
   D DK,NA,NAP 604

Column:  177     Width:  1     Type:  numeric

  • EGYPT
  • LIKING FOR EGYPT

Survey Question:  You will notice that the boxes on this card go from the highest position of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scales or how far down the scale would you rate the following countries? Egypt?

Response Categories
Category Label Frequency
   0 +5 66
   1 +4 61
   2 +3 108
   3 +2 117
   4 +1 283
   5 -1 140
   6 -2 56
   7 -3 60
   8 -4 36
   9 -5 57
   D DK,NA,NAP 622

Column:  178     Width:  1     Type:  numeric

  • RELIG
  • RS RELIGIOUS PREFERENCE

Survey Question:  What is your religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion?

Response Categories
Category Label Frequency
   0 NAP 0
   1 PROTESTANT 1025
   2 CATHOLIC 351
   3 JEWISH 33
   4 NONE 146
   5 OTHER (SPECIFY) 42
   6 BUDDHISM 0
   7 HINDUISM 0
   8 OTHER EASTERN 0
   9 MOSLEM/ISLAM 0
   10 ORTHODOX-CHRISTIAN 0
   11 CHRISTIAN 0
   12 NATIVE AMERICAN 0
   13 INTER-NONDENOMINATIONAL 0
   98 DK 1
   99 NA 8

Column:  179     Width:  2     Type:  numeric

  • DENOM
  • SPECIFIC DENOMINATION

Survey Question:  If Protestant: What specific denomination is that, if any? (Probe for exact denomination)

Response Categories
Category Label Frequency
   0 NAP 572
   10 AM BAPTIST ASSO 21
   11 AM BAPT CH IN USA 7
   12 NAT BAPT CONV OF AM 8
   13 NAT BAPT CONV USA 3
   14 SOUTHERN BAPTIST 157
   15 OTHER BAPTISTS 31
   18 BAPTIST-DK WHICH 85
   20 AFR METH EPISCOPAL 8
   21 AFR METH EP ZION 4
   22 UNITED METHODIST 130
   23 OTHER METHODIST 5
   28 METHODIST-DK WHICH 23
   30 AM LUTHERAN 20
   31 LUTH CH IN AMERICA 14
   32 LUTHERAN-MO SYNOD 43
   33 WI EVAN LUTH SYNOD 7
   34 OTHER LUTHERAN 11
   35 EVANGELICAL LUTH 14
   38 LUTHERAN-DK WHICH 8
   40 PRESBYTERIAN C IN US 15
   41 UNITED PRES CH IN US 23
   42 OTHER PRESBYTERIAN 16
   43 PRESBYTERIAN, MERGED 9
   48 PRESBYTERIAN-DK WH 8
   50 EPISCOPAL 34
   60 OTHER 235
   70 NO DENOMINATION 84
   98 DK 0
   99 NA 11

Column:  181     Width:  2     Type:  numeric

  • OTHER
  • OTHER PROTESTANT DENOMINATIONS

Range of Valid Numeric Responses
  Minimum value= 1      Maximum value=  997

Response Categories
Category Label Frequency
   0 NAP 1379
   998 DK 0
   999 NA 0

Column:  183     Width:  3     Type:  numeric
Text: Q. RELIG, Col. 174-175, punch 5 (Other, SPECIFY), is available from NORC. Q. DENOM, Cols. 176-177, punch 60 (N=4957), recoded into Cols. 178-180 [OTHER]. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56. See Appendix K: Protestant denominations. See Appendix N for changes across surveys.

  • JEW
  • WHAT SORT OF JEW R IS

Survey Question:  If Jewish: Do you consider yourself Orthodox, Conservative, Reform or none of these? (Probe for exact denomination)

Response Categories
Category Label Frequency
   0 NAP 1573
   1 ORTHODOX 0
   2 CONSERVATIVE 10
   3 REFORM 13
   4 NONE OF THESE 10
   8 DK 0
   9 NA 0

Column:  186     Width:  1     Type:  numeric

  • FUND
  • HOW FUNDAMENTALIST IS R CURRENTLY

Survey Question:  Fundamentalism/Liberalism of respondent's religion.

Response Categories
Category Label Frequency
   0 NAP 0
   1 FUNDAMENTALIST 539
   2 MODERATE 575
   3 LIBERAL 430
   8 DK 0
   9 NA-EXCLUDED 62

Column:  187     Width:  1     Type:  numeric
Text: See Appendix T, GSS Methodological Report No. 43. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56.

  • ATTEND
  • HOW OFTEN R ATTENDS RELIGIOUS SERVICES

Survey Question:  How often do you attend religious services? (Use categories as probes, if necessary.)

Response Categories
Category Label Frequency
   0 NEVER 259
   1 LT ONCE A YEAR 136
   2 ONCE A YEAR 193
   3 SEVRL TIMES A YR 176
   4 ONCE A MONTH 112
   5 2-3X A MONTH 137
   6 NRLY EVERY WEEK 99
   7 EVERY WEEK 321
   8 MORE THN ONCE WK 135
   9 DK,NA 38

Column:  188     Width:  1     Type:  numeric
Text: See GSS Methodological Report No. 88

  • RELITEN
  • STRENGTH OF AFFILIATION

Survey Question:  Ask everyone with any religious preference named in Q. 104. Would you call yourself a strong (Preference named in Q. 104 or 104-A) or a not very strong (Preference named in Q. 104 or 104-A).

Response Categories
Category Label Frequency
   0 NAP 0
   1 STRONG 580
   2 NOT VERY STRONG 587
   3 SOMEWHAT STRONG 216
   4 NO RELIGION 146
   8 DK 15
   9 NA 62

Column:  189     Width:  1     Type:  numeric

  • POSTLIFE
  • BELIEF IN LIFE AFTER DEATH

Survey Question:  Do you believe there is life after death?

Response Categories
Category Label Frequency
   0 NAP 526
   1 YES 780
   2 NO 185
   8 DK 111
   9 NA 4

Column:  190     Width:  1     Type:  numeric

  • PALEFULL
  • AFTERLIFE CONTRAST: SHADOWS OR FULL

Survey Question:  If Q. 108 is "Yes" or "Undecided", ask Q. 109A-D. People picture life after death in many different ways. We'd like to know how you think of life after death. Here is a card with sets of contrasting images. On a scale of 1-7 where would you place your image of life after death. Look at the first set of contrasting images. If you think that life after death is "A pale, shadowy form of life, hardly life at all", you would place yourself at 1. If you think it is "A life of complete fulfillment, spiritual and physical", you would place yourself at 7. If you think it is somewhere between these two you would place yourself at 2, 3, 4, 5, or 6. Where would you place your images of life after death for ...?

Response Categories
Category Label Frequency
   0 NAP 1606
   1 PALE, SHADOWY 0
   2 2 0
   3 3 0
   4 4 0
   5 5 0
   6 6 0
   7 COMPLETE FULFILLMENT 0
   8 DK 0
   9 NA 0

Column:  191     Width:  1     Type:  numeric

  • PRAY
  • HOW OFTEN DOES R PRAY

Survey Question:  About how often do you pray? Use categories as probes.

Response Categories
Category Label Frequency
   0 NAP 526
   1 SEVERAL TIMES A DAY 281
   2 ONCE A DAY 311
   3 SEVERAL TIMES A WEEK 143
   4 ONCE A WEEK 81
   5 LT ONCE A WEEK 224
   6 NEVER 16
   8 DK 0
   9 NA 24

Column:  192     Width:  1     Type:  numeric

  • MAPA
  • CONTRAST BETWEEN MOTHER AND FATHER

Survey Question:  There are many different ways of picturing God. We'd like to know the kinds of images you are most likely to associate with God. Here is a card with sets of contrasting images. On a scale of 1-7 where would you place your image of God between the two contrasting images? (Hand care AE). If you imagine God as a Mother you would place yourself at 1. If you imagine God as a Father, you would place yourself at 7. If you imagine God as somewhere between Mother and Father, you would place yourself at 2, 3, 4, 5, or 6.

Response Categories
Category Label Frequency
   0 NAP 526
   1 MOTHER 33
   2