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Civil Liberties
Differences & Discrimination
- Opinion of affirmative action
- How close does respondent feel to blacks (scale 1-9)
- How close does respondent feel to whites (scale 1-9)
- Does respondent attend church with opposite race
- Any opposite race living close by* (non-black respondents all years)
- Any opposite race living close by* (all races since 1978)
- Are racial differences due to discrimination* (non-black respondents all years)
- Are racial differences due to discrimination* (all races since 1978)
- Are racial differences due to inborn disability* (non-black respondents all years)
- Are racial differences due to inborn disability* (all races since 1978)
- Are racial differences due to lack of education* (non-black respondents all years)
- Are racial differences due to lack of education* (all races since 1978)
- Are racial differences due to lack of will* (non-black respondents all years)
- Are racial differences due to lack of will* (all races since 1978)
- Would respondent object to opposite race at dinner* (non-black respondents all years)
- Would respondent object to opposite race at dinner * (all races since 1978)
- How far are closest families of opposite race* (non-black respondents all years)
- How far are closest families of opposite race* (all races since 1978)
- Would respondent object if a few children at school were opposite race* (non-black respondents all years)
- Would respondent object if a few children at school were opposite race * (all races since 1978)
- Has family brought opposite race friend to dinner* (non-black respondents all years)
- Has family brought opposite race friend to dinner* (all races since 1978)
- Any opposite race in neighborhood* (non-black respondents all years)
- Any opposite race in neighborhood* (all races since 1978)
- Would respondent object if most children at school were opposite race* (non-black respondents all years)
- Would respondent object if most children at school were opposite race* (all races since 1978)
- Vote on open housing law* (non-black respondents all years)
- Vote on open housing law* (all races since 1978)
- Blacks should overcome prejudice without favors (agree/disagree)
Free Speech
- Should anti-religionist be allowed to teach
- Should communist teacher be fired
- Should homosexual be allowed to teach
- Should militarist be allowed to teach
- Should anti-American Muslim clergymen be allowed to teach
- Should racist be allowed to teach
- Should anti-religionist book be removed from public library
- Should communist book be removed from public library
- Should homosexual book be removed from public library
- Should militarist book be removed from public library
- Should anti-American Muslim clergymen book be removed from public library
- Should racist book be removed from public library
- Should anti-religionist be allowed to make speech
- Should communist be allowed to make speech
- Should homosexual be allowed to make speech
- Should militarist be allowed to make speech
- Should anti-American Muslim clergymen be allowed to make speech
- Should racist be allowed to make speech
Crime
- Favor or oppose death penalty for murder*
- Are local courts too harsh
- Afraid to walk at night in neighborhood
- Should marijuana be made legal
- Favor or oppose gun permits
- Does respondent have gun in home
- Approve of policeman striking male citizen who said vulgar things
- Approve of policeman striking male citizen
- Should people be allowed to protest
- Approve or disapprove of wiretapping
About this trend
GSS VARIABLES
|
Variable
|
Question Text |
| Any opp. race living close to r |
Are there any (“whites” for black respondents, “blacks” for non-black respondents) living in this neighborhood now? A. Are there any (Negro/Black/African-American) families living close to you? |
| Gss year for this respondent |
N/A |
| Age of respondent |
RESPONDENT'S AGE |
| Subjective class identification |
A. If you were asked to use one of four names for your social class, which would you say you belong in: the lower class, the working class, the middle class, or the upper class? |
| Rs highest degree |
RESPONDENT'S DEGREE |
| Condition of health |
Would you say your own health, in general, is excellent, good, fair, or poor? |
| Marital status |
Are you currently--married, widowed, divorced, separated, or have you never been married? |
| Political party affiliation |
Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what? |
| Race of respondent |
CODE WITHOUT ASKING ONLY IF THERE IS NO DOUBT IN YOUR MIND. What race do you consider yourself? RECORD VERBATIM AND CODE. |
| Region of interview |
A. REGION OF INTERVIEW |
| Respondents sex |
CODE RESPONDENT'S SEX |
| Labor force status |
Last week were you working full time, part time, going to school, keeping house, or what? |
NOTES
1 Prior to 1978, this item was asked of non-blacks only. To produce a consistent time series, the GSS variable RACCLOS was recoded in two ways. This visualization has had responses from black respondents screened out for all years. The second visualization has all respondent data for all available data years since 1978. Except in 1987 those answering No or Don't Know to the question RACLIVE were filtered out of the RACCLOS item. To construct a consistent time series the 1987 questions were screened as in other years. (*)
2 The default weight WTSSALL was applied for all years. Oversampled black respondents (SAMPLE=4,5,7) were excluded to adjust for the oversampling procedures in 1982 and 1987. If performing in-depth or focused analyses, other weights may apply.
NOTES for Age°
1 The GSS variable AGE was recoded to produce this visualization. Age was recoded into four age categories: 18-34, 35-49, 50-64, and 65+.
NOTES for Subjective class identification
1 The response "No class (vol.)" was excluded from this breakdown.
NOTES for Highest degree°
1 The GSS variable DEGREE was recoded to produce this visualization. Response categories (2) Associate/Junior college, (3) Bachelor’s, and (4) Graduate have been collapsed into "College +."
NOTES for Political affiliation°
1 The GSS variable PARTYID was recoded to produce this visualization. PARTYID was recoded into four categories: (0)-(1) Democrat; (2)-(4),(7) Independent, Other; and (5)-(6) Republican. See GSS Methodological Report No. 56 for more information.
NOTES for Race
1 If planning to perform trend analysis with the variable RACE, see GSS Methodological Report No. 56.
2 Interviewers were instructed to code RACE without asking only if there was no doubt. From 2002 onwards, this item is imputed based on RACECEN1,23; ETHNIC, ETH1,2,3; and HISPANIC. See the GSS Cumulative Codebook for more information.
NOTES for Region of interview°
1 The GSS variable REGION was recoded to produce this visualization. REGION was recoded into four categories: (1)-(2) Northeast; (3)-(4) Midwest; (5)-(7) South; (8)-(9) West. These are in alignment with the Census regional groupings.
NOTES for Sex
1 If planning to perform trend analysis with the variable SEX, see GSS Methodological Report No. 56.
NOTES for Labor force status°
1 The GSS variable WRKSTAT was recoded to produce this visualization. WRKSTAT was recoded into three categories: (1)-(3) Employed, (4) Unemployed, and (5)-(8) Not in labor force/Other. This is in alignment with the Bureau of Labor Statistic's labor force definitions.
2 If planning to perform trend analysis with the variable WRKSTAT, see GSS Methodological Report No. 56.