A COMPENDIUM OF TRENDS ON GENERAL
SOCIAL SURVEY QUESTIONS
Tom W. Smith
with assistance from
Guy J. Rich
NORC Report No. 129 (Formerly GSS Technical Report No. 15)
COFeRfClI01S) DfCE"M ,Qg4; WI,H Ci=ILMED
National Opinion Research Center Chicago , Illinois
1980 ABOUT NORC
The National Opinion Research Center is a nonprofit social research institute , founded in 1941 and affiliated with the University of Chicago.
NORC Study Directors , many of whom hold joint appointments with the University of Chicago , conduct disciplinary research in economics , psy- chology, political science , education , sociology, statistics , and survey methodology. They also conduct public policy and evaluation research on a wide range of national and local policy issues.
In addition, through its Survey Operations Group, NORC provides a full line of survey research services-- study design and analysis , sampling, questionnaire design , data collection , and data processing--for a wide range of clients in the scientific research community.
This work was carried out for the General Social Survey Project , which is directed by James A. Davis and funded by the National Science Founda- tion , SOC-7703279.
National Opinion Research Center 6030 South Ellis Avenue Chicago , Illinois 60637
ISSN 0147-0124 ISBN 0-932132-24-3 ......
CONTENTS
INTRODUCTION
COMPILATION OF TRENDS
Notes for Compilation 241
APPENDIX: STANDARD DEVIATIONS 8. . . 249
SUBJECT INDEX 255
iii INTRODUCTION
Selection and Coverage
This compendium contains a sumary of trends from selected General
Social Survey items. The criteria for inclusion differ for nondemographic and demographic items.
For nondemographics the trend series contains all data points available to the GSS staff for which there was an exact or equivalent us age. It excludes variant wordings and data from local or restricted
populations (e.g. , the Detroit Area Study, done by the University of
Michigan, and a national sample of Catholics studied by NORC). A selec-
tive list that also cites variant wordings and data points covering
restricted populations can be found in Appendix M: Previous Usage,
in James A. Davis, Tom W. Smith, and C. Bruce Stephenson, General Social
Surveys, 1972-1978: Cumulative Codebook (Chicago: NORC, 1978).
addition , there are more general guides to previous usages and other
time series , including Jessie C. Southwick , ed. Survey Data for Trend
Analysis: An Index to Repeated Ques tions in U. S. National Surveys Held
by the Roper Public Opinion Research Center (Williamstown , Mass. Roper
An exact usage is a verbatim duplicate. An equivalent usage has minor differences in wording, such as the alteration of an article or pronoun , or some other trivial change. Some close variations are also included in the series. These variations are noted when they were judged suitable for inclusion. In general , the practice was to exclude all but the most insignificant of variations. Public Opinion Research Center , 1975); A Continuity Guide to the American
National Election Surveys of the Center for Political Studies, 1952-
1974" (Ann Arbor: Institute for Social Research, University of Michigan,
1976) ; George H. Gallup, The Gallu Poll: Public Opinion 1935-l971
(New York: Random House, 1972); and George H. Gallup, The Gallup Poll:
Public Opinion , 1972-1977 (Wilmington , Delaware: Scholarly Resources 1978).
For most standard demographics only data from the GSSs are
presented. Previous usages were too numerous and minor variations too
common to warrant the inclusion of these trends in the compendium.
Trends for many of the demographics are available from such sources as
Historical Statistics of the United States, Statistical Abstracts,
and Social Indicators, 1976
This compendium is also selective in 'that it does not cover all
items contained in the GSSs. The count of the number of variables on
a survey is largely arbitrary, depending on how filters are handled, whether sumary scales are constructed from several questions or one
question divided into several variables, and other considerations.
The 1972-l978 General Social Survey c\ltll,gtiy cf,gt,gfilec()tIes tlpwith
446 variables. To this total the compendium adds one item , COHORT or years of birth. It eliminates IS2 variables: 82 items that were asked only a single time (38 one-time experiments , 31 recent additions , II
items dropped after their initial appearance , and 2 others), 39 items
that were subparts of questions (e.g. , specific Protestant denomination
and number of children expected in next five years), 18 Dictionary of
Occupational Titles variables derived from occupation , 7 items subsumed under other variables (e.g., various income codes covered by generalized codes), 4 file documentation items (form, identification number, year and sample code), and 2 miscellaneous items. This leaves 295 items covered by the compendium. To this total 68 alternative codes for selected items (e.g., party identification or work status) are added.
This brings the number of variables covered up to 363. These additions create some redundancy (as even the supposedly 295 distinct items do by measuring such related matters as years of schooling and highest degree obtained and occupation and occupational prestige), but they permit more detailed inspection of certain multicategory items.
Finally, since this compendium is a wholesale sumary of many complex items and trends , it cannot cover details , nuances , and other particularities of items , surveys , or trends. Those interes ted in more comprehensive and intensive examination of particular trends should
either conduct their own secondary analyses of the relevant data or,
in instances where more complete analysis has already been conducted
consult the existing literature. (See Tom W. Smith, Annotated Bibli-
ography of Papers Using the General Social Surveys Chicago: NORC,
1979, for a compilation of this body of material.
Organization
The compendium consists of four sections: this introduction
(including a list of abbreviations used for sources of data , p. xxi
a compilation of trends , an appendix with standard deviations , and a
subject index. The introduction gives the scope , organization , and
summary of the selected trends. The main section lists trends in the
Certain qualifications and elaborations are noted with the summary of trends. See also Appendix L, Changes in Question Wording,
Response Categories, and Format, in the GSS Cumulative Codebook vii distributions of the selected items. The standard deviation for each series is given in the Appendix. The subject index provides a topical guide to the items , which should be particularly helpful to those unini- tiated into the specialized language of GSS mnemonics.
In the main section , the items are arranged alphabetical y by their GSS mnemonics with six exceptions: the variables evaluating various foreign countries (BRAZILl, BRAZIL2, CANADA1, CANADA2, CHINA1
CHINA2, EGYPTl, EGYPT2, ENGLANDl, ENGLAND2, ISRAELl , ISRAEL2, RUSSIA1, and RUSSIA2) are grouped together under " IMAGES OF COUNTRIES" the variables ranking values for children (AMICABLE, CLEAN, CONSIDER, CONTROL,
HONEST, INTEREST, JUDGMENT, MANNERS, OBEYS, RESPSONSI, ROLE, STUIOUS, and SUCCESS) are grouped under IIQUALITIES OF CHILDREN" ; the variables ranking desirable occupational traits (JOBHOUR, JOBINC , JOBMEANS, JOBPROMO,
AND JOBSEC) are grouped under 11 JOB CHARACTERISTICS" the variables evaluating the effects of pornographic materials (PORNINF , PORNMORL,
PORNOUT, and PORNRE) are grouped under IIPORNOGRAHIC EFFECTS" the variables that measure the commitment of whites to school integration
(RACFEW, RACFEWI, RACHAF, RACHAFI, RACMOST, and RACMOSTI) are grouped under "RACIAL INTEGRATION OF SCHOOLS" and the variables that measure satisfaction with various life domains (SATCITY, SATFAM, SATFRND, SATHEALT, and SATHOBBY) are grouped under " SATISFACTION WITH LIFE DOMAINS.
Each entry has three parts: (1) question wording, (2) the selected trend proportions, and (3) the statistical analysis of the trend data.
The question wording section gives the text of the item and defines how the response categories were grouped in order to calculate the propor- tion listed below. For example, for ABAN the proportion is the number of "yes " responses (or cases) divided by the total number of responses
viii yes " responses plus " " and " don I t know The selected trend sec- tion gives the years that data were collected , the proportions as defined above , the total number of cases (" ) for each use of the item , and the study or survey names.
The statistical analysis section applies a series of trend models to the proportions. It first tests the constant model that all data points are simply random variations around a stable proportion. The constant subsection gives an estimate of pooled (or average) proportion for the data points two standard deviations. It then tes ts whether the observed data points vary significantly from it. The chi square
(CHI SQ) and alpha probability level (PROB) for this goodness-of-fit tes tare given next.
Next the analysis tries the linear model that all data points are random variations around a linear trend. The linear trend subsection has four parts: (1) weighted regression , (2) R squared , (3) improvement and (4) fit. The weighted regression line gives the standard y = a + bx equation where a is the intercept and b is the slope or change per annum . 4 for the variable under ana YS1S. The R squared term measures the share of the variance in the trend variable that is explained by time. Improvement measures the difference in fit of the constant and linear models. Fit measures the goodness of fit between the b.est linear model and the observed data. The outcome of this test appears under the chi square
and probability headings.
In this and all other instances "no answer/not ascertained" and "not applicable/inappropriate II responses have been excluded from the analysis unless noted otherwise.
The intercepts are for the base year " As a result, they are arbitrary and interpretively meaningless constants. Finally, the statistical analysis section presents the best model description of the trend data based on the preceding fitting of
constant and linear tests. There are five possible outcomes from these
tests: (1) constant , (2) significant linear component , (3) significant
linear trend, (4) not constant, not linear , and (5) not constant; can decide. The constant model is accepted when there is no significant variation from the constant or pooled proportion (i. e., the probability
is . 05 or greater). The significant linear component model is accepted when (a) the constant model is rejected , and (b) the linear model is also rejected , but (c) the linear model is a significant improvement
over the constant model (i. , the difference between the linear and
constant models is significant at the . 05 level). The significant linear trend model is accepted when (a) the constant model is rejected and (b) there is no significant variation from the linear fit (i. e., the probability is . 05 or greater). The not cons tant , not 1 inear mode is accepted when (a) the constant model is rejected, (b) the linear model is rejected, and (c) the improvement is not significant between the linear and constant models. The not constant; can t decide model outcome occurs when (a) the constant model is rejected, (b) the linear model is accepted , but (c) the improvement is not s1gn1 1cant. The exact meaning of these models varies according to the configuration of the data and the interpretation of them but can be described in general as follows:
Constant: No significant change is occuring; measurable trend appears
1S 1S a borderline . occurrence that appears infrequently. Significant Significant change is occurring and there linear component: is a net direction to the trend; a trend appears but varies from a simple linear projection
Significant Change is occurring at a constant or fixed linear trend: rate per annum; the trend is moving along a straight line
Not constant Significant change is occurring, but it not linear: shows a complex pattern; the trend does not follow a linear function and has no simple direction
Figure I further illustrates this format. In part A the mnemonic (lt ANOMIA51t ), question wording, and categorization of the . propoprtion
appea In part B the four data points are presented. The time series
covers the years 1973, 1974, 1976 , and 1977. The proportion disagreeing with the item has ranged from a low of . 376 in 1974 to a high of . 433
in 1973. The case base ranges around 1 500, and all data come from the
General Social Surveys (GSS). In part C the trend is statistically analyzed. In the constant subsection the pooled estimate over the four data points is . 401 0126. The chi square and probability tests of
significance show that the observed points differ significantly from
the pooled estimate; the constant model is therefore rejected. The linea subsection reveals that the best linear estimate is that the item has been changing at a rate of . 002 per annum from an intercept of 4. 45. The test for improvement finds that the best linear model is not significantly better than the constant model (i. , the probability equals . 618). The linear test shows that there is a significant amount of variation left after the best linear fit is tried (i. e., probability equals . 001), so the linear model is also rejected. Since both the constant and the linear models were rejected , the model subsection reports that the trend in ANOMIAS over the four data points from 1973 to 1977 ------
ANOMIA 5
In spite of what some people say, the lot (situation/condition) of the average man is getting worse , not better.
Proportion equals Disagree versus Agree and DK.
Year Proportion StlJd 1973 0 . 4330 1502 GSS 1974 3760 1481 GSS 1976 3810 1497 GSS 1977 4197 1525 GSS
TEST ESTIMATE CHI F'ROB
Constant 402 p Ius or minus 0. 0126 14. o . 002 Linear Trend Wei hted Re ression Y = 4. 45 - 0. 0020(X) R SGuay' 0196 Improvement 618 Fit 14. 001 Model: Not constant, not linear
Fig. 1. Example of Format
xii is not constant , not linear. , to put it another way, the proportion disagreeing with the statement that the lot of the common man is getting worse varied significantly over this period , but the trend showed no net direction.
Summary of Trends
The general trends and observations about the nature, extent
and direction of social change that can be distilled out of these data
depend in the first place on the amount and distribution of the trend
data i tsel f. It is extensive , but suffers from many limitations and inadequacies.
For the 295 nonduplicates there are approximately 2 , IOO data
points. On the GSSs there was an average of 4. 7 observations for each
tem. Among the nondemographics (for which pre-GSS points were inclu ded),
there was an average of 7. 2 observations per item (4. 4 GSS points and
9 non-GSS points). There is, of course, a wide range n the number
of pre-GSS points available for nondemographics, from sixty-three items
with no previous exact national usage to five items with twenty or more
previous usages (CHLDIDEL-23, CLASS-21 CONBUS-20, HAPPY , and USWAR-3l).
We will not try to substantively interpret trends in this section. Trends on many particular GSS items are studied in papers cited in the Annotated Bibliography Some attempts to synthesize general trends in GSS items include James A. Davis, "Trends in NORC General Social Survey Items, 1972-1977, " GSS Technical Report No. 9 (Chicago: NORC 1978); James A. Davis, II Conservative Weather in a Liberalizing Climate: Change in Selected NORC General Social Survey Items , 1972-l978, " GSS Technical Report No. l3 (Chicago: NORC , 1979); and Tom W. Smith General Liberalism and Social Change in Post World War II America: A Summary of Trends " GSS Technical Report No. 16 (Chicago: NORC, 1979).
As noted , all items with only a single data point were excluded from the compendium.
xiii Some of these prior series stretch back as far as the mid-thirties
but , as the following figures show, most come from only the last decade
or so:
Time Series Starting During Period 1930s 025 1940s 025 1950s 151 1960s 361 1970s 437 N = 238 (57 demographics excluded)
The average starting time for the series was mid-1965, a fairly meaningless
expression of central tendency. What the figures on both previous usages
and time period covered point out is the large but very uneven amount
of trend data that is contained in these series. One can look at all
of the trends some of the time (the seventies) and some of the trends all of the time (or at least back to the beginning of national surveys), but not all of the trends all of the time. This imbalance in source
data naturally hinders the analysis that one can carry out. We will deal with the problem of variable coverage initially by ignoring the problem and finally by " solving" it , through the restriction of the comparisons to the data-intensive GSS surveys.
Looking at the final models for all nonduplicating series with three or more data p01nts, we find that 26. 0 percent were cons tant
39. 4 percent had linear components, 22. 4 percent were linear trends and 12. 2 percent were nonconstant, nonlinear. Adjusting for multistage
1nce a two-point trend series Can only tes t out as cons tant or significant linear trend , these seventeen cases were deleted from the subsequent analysis.
0ne can ' t-decide-model case was dropped from the analysis.
xiv sampling significantly changed the distribution of trend 1ts, owever.
With the adjustment, 44. 0 percent were constant, 29. 6 percent had linear
components, 19. 9 percent were 1 inear trends, and 6. 5 percent were noncons tant nonl inear. If we accept more of the variation as sampling noise, we
can use the adjusted models, which greatly simplifies the types of models
that can be fitted to the data. The proportion of change models (i. e.,
linear component; linear trend; and nonconstant, nonlinear) drops
from 74 percent unadjusted to 56 percent when adjusted. Still , even
when the conservative cluster adjustment is made , it appears that some
change is occurring in a majori ty of the items. Most of this change
has some net direction , but it is usually more complex than simple linear change.
Of course this summary of trend models has been based on a hodge-
podge of time series covering from three to thirty-two data points and
from three to forty-two years and restricting most demographics to
GSS survey points. This can have great impact on the distribution of
trend models since the fit of trend models vari s greatly by the length
an ens1ty of the series and the type of question. The impact of greater length and density can be seen by comparing the trend models
for nondemographics on GSS surveys and on all surveys. For the GSS
To allow for clustering, the standard deviations were mul ti- plied by 1. 4l4. We have used the number of cases as counted in the raw data sets. Since some of the studies are weighted files , the number of cases does not always represent the number of individuals.
We have not tried to separate out the effects of series length and density but suspect that both factors independently lead to more complex models. The longer a series is, the more likely one is to detect as significant a small but steady trend. The more points in a series the more likely one is to detect (1) an episodic effect, and (2) a cyclical or nonlinear trend. alone, the unadjusted models were 4J. percent constant, 20. 7 percent linear component, 16. 3 percent linear trend, and 20. 7 percent nonconstant, nonl inear. For the GSS plus the pre-GSS points, the models were 19. percent constant, 48. 6 percent linear component, 18. 3 percent linear trend , and 13. 9 percent nonconstant, non 1near. This seems to indicate that if we had yearly readings for over thirty years for all of the items we would find even more change than now appears and that , conversely, wi th fewer points and shorter spans we would come up wi th appreciably less change than indicated above.
Similarly, the amount of change that is detected varies by the ques tion type. Four basic question types were distinguished: (l) demo- graphics (the basic background facts about a person s life), (2) atti- tudes (opinions on public issues and social values), (3) personal evalua- tions (self-rankings of psychological states), and (4) behaviors (reports of personal activities, mem ers 1pS, or exper1ences . This breakdown pretty much follows traditional distinctions in the classification of survey items, except that personal evaluations are usually grouped with attitudes.
Attitudes show the most change models (66. 2 percent), followed by demographics (48. 4 percent), behaviors (35. 0 pecent), and personal
Adjusted models show a similar pattern.
0ther hypotheses might explain this shift--for example, change was greater in the period prior to the 1972-1978 span covered by the GSS, or house effects caused the increase in variation between points. While neither is formally ruled out , these are considered to be less likely hypotheses.
e p aC1ng 0 part1cu ar 1tems 1nto one of these categor1es was occasionally difficult. Three items (COOP, COMPREND, and ETHUM) were left in a miscellaneous category, and about a half dozen other items were fairly arbitrarily assigned to categories.
XV1 ......
evaluations (16. 3 percent). (See Table I. Attitude items led in the number of trends that had linear components and noncons tant , nonlinear trends. This indicates that attitude items not only showed more change but also were more likely either to follow more complex trends or to bounce around. Demographics were next mos t likely to show change , but were much more likely to have simple linear trends than attitude items were. Behavioral items showed less change and followed the pattern of the demographics in having mostly linear change models. Personal
evaluations were basically constant and, with a case base of twelve,
there are insufficient data for more detailed analysis.
TABLE I
FINAL MODELS BY QUESTION TYPE (GSS only: unadjusted)
Question Type Trend Model Total a Demo- Personal graphics Attitudes Evaluations Behaviors
Cons tant 51. 33. 83. 65. 45. Linear component 25. 17. Linear trend 31.3 14. 25. 20. Noncons t an nonlinear 25. 16. (64) (137) (12) (40) (2S6)
lncludes three miscellaneous items not categorized in table.
Includes one can ' t-decide-model case that is excluded from the percentaging.
The four categories of items also varied in the amount of linear
change. Among items testing out as linear components or linear trends
on the GSS, attitude items had an average slope of 1. 4 percent per annum,
xv 1. demographics averaged 1. 15 percent , behaviors averaged l. 29 percent and the only personal evaluation wi th a linear component had a slope of 0. percent. It appears not only that attitudes were more likely to show change, but also that, among those with linear change attitudes had the largest annual rate of change.
Clearly the amount and type of change measured would vary widely according to what mixture of question types is placed in the trend salad.
Because of this it is impossible to come up wi th any meaningful simple summary of the amount and type of change that has been occurring. Still, some generalizations are possible. First , even allowing for much artifact it is evident that much change has occurred. Even for the clustering adjusted figures for all points , the items showed nonconstant trends for 56 percent of the time series. Second , the change that does occur usually has some net direction, but it is often more complex than a simple linear trend. Third, linear change usually occurs at something less than a banner headline pace. Atti tudes , demographics , and behaviors showing linear change averaged only 1. 3 percent on the GSSs and l. percent for all data po nts. The greatest rate of change on the GSS surveys was only 3. 2 percent per annum (an inflation triggered increase in respondent I s income), and on all surveys only 6 percent of linear
more ata nts over a longer average time span it was possible for more small trends to show up as significant when all points were used rather than just GSS points. Calculating in all the constant trends would, of course, reduce these average annual rates of change by a notable margin. Using the adjusted models would , in contrast, increase the rate of change since many of the weaker linear trends would be reclassified as constant.
xviii change was above 2. 5 percent per annum. Fourth, change varies by the type of question. If we are willing to accept the GSS items as
typical representatives for each of the four types of questions distinguished above , it appears that attitudes show the most change and the most complex change models. Demographics are more stable than attitudes and are more likely to show simple linear trends than linear components or non-
linear trends. Behaviors and personal evaluations are even more cons tant
than either attitudes or emograp cs. Among the features of this
pattern perhaps two are most surprising: demographics are not quite
as rock solid as sometimes pictured , and perhaps the most subjective
of all question types, personal evalutions , are the most stable.
In sum , the trend data contained in this compendium show a satis-
factorily complicated pattern of stability, linear and more complex
changes, and bounce. Many items show major changes , many others show
great cons is tency. Although far from being comprehensive and necessarily
sacrificing depth for breadth, the compendium provides a useful summary
of many recent trends and should serve as a helpful reference source
for studying social change.
Some nonlinear trends were, of course, larger. The largest annual shift on the GSSs was a drop of 19. 9 percent in confidence in organized religion between 1974 and 1975, and the largest standard devia- tion from a constant value was . 0729 for confidence in the executive branch of the federal government.
17 A listing of the twenty most changeable items (largest standard deviations from their pooled average) on the GSSs confirmed this picture. Seventeen were attitudes , two were demographics, one was a behavior and none were personal evaluations. The expected distribution would have been 10. 8 attitudes, 5. 1 demographics, 3.2 behaviors, and 0. 9 personal evaluation.
xix ABBREVIATIONS
AIPO = American Institute of Public Opinion, Gallup
ELEC = American National Election Study, Center for Political Studies University of Michigan
GSS = General Social Survey, National Opinion Research Center University of Chicago
HARRIS = Louis Harris and Associates
HAISV = Violence Survey, Louis Harris and Associates
ICPR = Inter-University Consortium for Political (and Social) Research, University of Michigan
NORC = National Opinion Research Center , University of Chicago
POS = Public Opinion Survey, Gallup
RAC = Response Analysis Corporation
RFOR = Roper-Fortune, Roper Organization , Inc.
ROPER = Roper Organization , Inc.
SRC = Survey Research Center, University of Michigan
SRCM = Mental Health Survey, Survey Research Center University of Michigan
SRCOMNI, SRCOMNIBUS = Omnibus Survey, Survey Research Center University of Michigan
SRCQEMP, SRCQOFWR = Quality of Employment Survey, Survey Research Center University of Michigan
SRS = Survey Research Service , National Opinion Research Center University of Chicago
xxi ------======------. ------.------.------.---..- - ..------.------
COMPILATION OF TRENDS
ABANY
Please tell me whether or not you think it should be possible for a pregnant woman to obtain a leRal abortion if . READ EACH STATEMENT AN CIRCLE ONE CODE FOR EACH. The woman wants it for any reason?
roportion equals Yes versus No and DK.
Year Proportion Stud!: ""_""_0- 1977 o . 3664 1523 GSS 1978 o . 3235 1527 GSS
TEST ESTIMATE CH I S( F'ROB Constant 344 plus ar minus 0. 0172 012 Linear Trend Wei.hted Re.ression Y = 85. 12 - 0. 0429 ( X) R Saua red 1 . 0000 I RIP ravement 012 Fit 000 Model: Sisni ficant Linear Trend Fits
ABDEFECT
ther e is a strong chance of serious defect in the baby?
Proportion equals Yes versus No and DK.
Year' Proportion Stud!: 1962 O. 5506 1493 AIF'0662 1965 5649 1565 AIF'0721 1965 5466 1482 SRS870 1969 6295 1560 AIP0788 1972 7460 1607 GSS 1972 7782 1461 NORC5046 1973 0 . 8250 1500 GSS 1974 0 . 8260 1484 GSS 1975 0 . 8040 1487 GSS 1976 8180 1495 GSS 1977 0 . 8340 1524 GSS 1978 0 . 8030 1528 GSS ====------. ------_. ------.-- '"' ------'...--- -- . .---- " ------,------.------(.(.:::---- - ... ------
continued from ARANY
TEST ESTIMATE CHI SO PROB Constant 750 plus or minus 0. 0062 1106. 001 Linear Trend Weighted Regression y =-40. 91 + 0. 0211(X) t( Saua red 8881 ImPT' ovement 954. 001 Fit 151. 7 001 Model: Si9ni ficant Linear Component
ABHLTH
If the woman s health is seriously endangered by the pregnancy?
Proportion equals Yes versus No and DK.
Year Propod,ion StlJd 1962 O. 7594 1496 AIP0662 1965 7847 1565 AIP0721 1965 7047 1940 SRS870 1969 8000 1560 IP0788 1972 8340 1605 GSS 1973 9070 1502 GSS 1974 9040 1484 GSS 1975 8840 1487 GSS 1976 8810 1492 GSS 1977 0 . 8850 1522 GSS 1978 8848 1528 GSS
TEST ESTIMATE CHI PROB Constant 854 plus or minus 0. 0053 503. 001 Linear Trend Wei9hted Re9ression Y =-20. 93 + 0. 0110(X) R SalJa red 7787 Improvement 371. 001 Fit 132. 001 Model: Si9ni ficant Linear Component
ABNOMORE
If she is married and does not want any more children?
Proportion equals Yes versus No and DK. ------..------.------.------.------....------.------.---.:::-: - -. - -
continued from ABANY
Year Proportion Stud!: 1965 1547 1480 SRS870 1972 0 . 3770 1608 GSS 1972 4152 1457 NORC5046 1973 4610 1502 GSS 1974 0 . 4460 1484 GSS 1975 0 . 4380 1488 GSS 1976 4470 1493 GSS 1977 0 . 4465 1523 GSS 1978 3911 1529 GSS
TEST ESTIMATE CHI PROB Constant 376 plus or minus 0. 0081 722. 1 001 Linear Trend Wei hted Re ression Y =-44. 74 + 0. 0229CX) R SalJB red 6642 Improvement 553. 6 001 Fit 168. 001 M" - OM' Model: Si nificBnt Linear Component
ABPOOR
If the family has a very low income and cannot afford any more children?
Proportion equals Yes versus No and DK.
Year Proportion StlJd': 1962 1580 1494 AIF'0662 1965 0.1821 1565 AIP0721 1965 2122 1480 SRS870 1969 2340 1560 AIP0788 1972 4580 1605 GSS 1973 5180 1502 GSS 1974 5240 1482 GSB 1975 5070 1485 GSS 1976 5100 1491 GSS 1977 5184 1522 GSS 1978 4555 1528 GSB ------.------.------_..------_. ------.------.--: .::-:::.::.::: ---- -. . -.+. ------
continued from ABANY
TEST ESTIMATE CHI SQ PROB
Cons tant 352 plus or minus 0. 0070 1961. 001. Linear Trend Wei hted Re ression Y =-52. 04 + 0. 0266(X) R Saua red 8447 Improvement 1704. 001 Fit 257. 001 Model: Significant Linear Component
ABRAPE
If she became pregnant as a result of rape?
Proportion equals Yes versus No and DK.
Year Proportion Stud 1965 5592 1479 SRS870 1972 7460 1604 GSS 1973 8070 1501 GSS 1974 8290 1482 GSS 1975 O. 8000 1487 GSS 1976 7980 1491 GSS 1977 8093 1521 GSS 1978 8073 1526 GSS
TEST ESTIMATE CHI SQ PROB
Constant 781 plus or minus 0. 0074 357 + 001 Linear Trend Weighted Resression Y =-34. 91 + 0. 0181(X) R SalJa red 8120 Improvement 263. 001 Fit 94. 001 PH.- -.- Model: Significant Linear Component
ABSINGLE
If she is not married and does not want to marry the man?
Proportion equals Yes versus No and DK. ----...------.------..------.--.-....------.------.. -- - .-....---- - .....-.....- - ....-'-'-. ---.. .--...-.-.-. .-. -- -.... --.... .-.-..... -.... -...... -.....--. '...---- ,.....- --.-...".-..- .....---..- -- -. -----.-....----..-.-....------.-.-.-.-.------....- ..-.-.-"- .-.-...... - ..------.-..-...--- ' .....-.-..- -::-:::--:- _.....- .---..----. ..--.---.-...... - -..
Year Proportion Stud!: 1965 1743 1480 SRS870 1972 4070 1605 GSS 1973 4750 1499 8SS 1974 4790 1484 GSS 1975 4590 1485 8SS 1976 4840 1494 8SS 1977 4767 1523 8SS 1978 3966 1528 8SS
TEST ESTIMATE CHI PI:;DD M__.M. - -. M- _. ..- M...... ,., .... "'...... - -...... "N ...... -. n" .0.. -- n. .... _.oN - MO' Constant 399 plus Dr minus 0. 0087 fj93. 001 Linear TT' end Wei hted Re ression Y =-44. 96 + 0. 0230 (X) R SGuaT'ed 6656 IITPJ' ovement :3 t ? 00:1. Fit 170. 001 -- - - __-'M -- ..n .... 'n- .... Model: SiSnificant Linear Component
:ADULTS
Number of members in household over 17 years old.
Proportion equals 3 or more adults versus less than 3 adults.
Year Proportion Stud!:
1972 2550 1613 GSS 1973 2250 1504 GSS 1974 2050 1482 8SS 1975 2280 1490 GSS 1976 1860 1497 8SS 1977 1893 1527 8SS 1978 O. 1684 1532 GSS
TEST ESTIMATE CHI PROD __'0- - -. - - M.. Cons tant 206 plus or minus 0. 0078 4(1. OOl Linear TT' end Weishted Resression Y = 24. 91 - 0. 0125(X) R SGuared 8252 Improvement 4 :I 6 001 Fit :1.43 Model: Sisnificant Linear Trend Fits ------======------.------.------.------.....--.------
AGEl
Respondent' s age.
Proportion equa Is age 50 or grea ter versus less than 50.
Year Proportion StlJd
1972 3930 1608 GSS 1973 O. 3830 1499 GSS 1974 3910 1478 GSS 1975 O. 3820 1485 GSS 1976 4060 1493 GSS 1977 3920 1523 GSS 1978 3718 1525 GSS
TEST ESTIMATE CHI PRO!! Constant 388 plus or minus 0. 0095 621 Linear Trend Weishted Resression Y = 2. 67 - 0. 0012(X) R SalJared 0481 Improvement o . 628 Fit o . 525 Model: Constant
AGE2
Respondent' s age.
Proportion equals under age 30 versus age 30 and over.
Yea l' Proportion StlJd
1972 2490 1608 GSS 1973 2560 1499 GSS 1974 2570 1478 GSS 1975 2730 1485 GSS 1976 O. 2600 1493 GSS 1977 2416 1523 GSS 1978 2669 1525 GSS ------======------.------'------'-----'------.-- --.--.- - "---.------.-.------..------.------.::: ------.------.-
TEST ESTIHATE CH I PROB Constant 257 plus or minus 0. 0085 512 Linear Trend Weighted Regression Y = -1. 67 + 0. 0010(X) R SQuared 0421 I IT," rove..nt 653 Fit 410 Hodel: Constant
AGED
As you know , many older people share a home. with their grown children. Do you think this is generally a good idea or a bad idea?
Proportion equals Bad Idea versus Good Idea , Depends, and DK.
Year Proportion Stud!: ----_oe- 1957 6354 2567 NORC383-A 1973 5760 1503 8SS 1975 5340 1489 8SS 1976 4850 1498 8SB 1978 O. 4837 1532 8SB
TEST ESTIMATE CHI PROD _..M Cons tant 556 plus or minus 0. 0106 :137. 001 Linear Trend Weighted Regression Y = 13. 61 - 0. 0066(X) R SQuared 8140 I AiP rovelT,ent 118. 001 Fit 19. 001 Hodel: SiSni ficant Linear Component
AGEWED
How old were you when you first married? ked only of respondents who have ever been married)
Proportion equa Is under 20 versus 20 and over. ------.------.------.--- - -..- --""--.------.-----.------
Year Proportion Stl.ld!:
1972 0 . 3080 1395 GSS 1973 3210 1310 GSS 1974 3150 1298 GSS 1975 0 . 3270 1270 GSS 1976 3130 1289 GSS 1977 3125 1299 GSS 1978 3470 1288 GSS
TEST ESTIMATE CHI F'ROB MM - -...-.- Cons tant 320 plus or minus 0. 0098 405 Linear Trend Weishted Resression Y = -6. 45 + 0. 0034 (X) R Saua red 3273 I RIP rovement 0.154 Fit 526 -- 'H'- .... --.- M- Model: Constant
AMICABLE
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE , OBEYS , RES PONS I , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically. - =====------.------_.------'------_.---..------.------(-: :: ------.-. ---- -
ANClUAI
Now I' m going to read you several more statements. Some people agree with a statement, others disagree. As I read each one , tell me whether you more or less agree with it, or more or less disagree Next to health, money is the most important thing in life.
Proportion equals Disagree versus Agree and DK.
Year Proportion StlJd\: 1964 5041 1968 SRS760 1973 0 . 6640 1504 GSS 1974 0 . 7080 1482 GSS 1976 6620 1499 GSS
TEST ESTIMATE CHI F'ROB Constant 630 plus or minus 0. 0119 183. 001 Linear Trend WeiShted ReSression Y =-30. 68 + 0. 0159(X) SGIJa red 8681 Improvement 161. 001 Fit 22. 001 Hodel: Sisni ficant Linear Component
ANOMIA2
You sometimes can t help wondering whether anything is worthwhile any more.
Proportion equals Disagree versus Agree and DK. ------__ ------.------:.::: ------..
10- continued from ANOMIA
Year Proportion Stud 1963 6896 1379 SRS350 1964 5861 1969 SRS760 1973 5900 1501 GSS 1974 5600 1479 GSS 1976 5900 1494 GSS
TEST ESTIMATE CH I f'ROB "R'- Constant 603 plus or minus 0. 0110 63. 001 Linear Trend Weishted Resression Y = 10. 31 - 0. 0049(X) R SalJared 4327 IRiProvement 23. 001 Fit 40. 001 Hodel: Sisni ficant Linear Component
ANOMIA3
To make money, there are no right and wrong ways any more , only easy ways and hard ways.
Proportion equals Disagree versus Agree and DK.
Year Proportion Stl.Jd 1973 7290 1500 GSS 1974 7670 1477 GSS 1976 7130 1496 GSS
TEST ESTIMATE CHI PROB
Cons tant 738 plus or minus 0. 0131 12. o . 003 Linear Trend Weishted Resression Y = 17. 48 - 0. 0085 (X) R SalJared 2155 I RIP rovement 112 Fit 002 Model: Not constant, not inear
ANOMIA4
Now r' d like your opin;ons on a number of different things.
Nowadays. a person has to live pretty much for today and let tomorrow take care of itself. Do you more or less agree with that, or more or less disagree? ...==------======------_. -. ------_.------....------
11- coatinued from ANOMIA4
roportion equals Disagree versus Agree and DK.
Year P'ro,.ortioA Stud 1963 5124 1370 SRS350 1964 5314 1972 SRS760 1973 0.-5.20 1504 GSS 1974 o. 1-482 GSS 1976 O. 2.0 1498 GGS
TEST ESTIHATE CHI sa F'ROIc Constant 538 plus or minus 0. 0113 10. o . 039 Linear Trend Weighted Regression Y = -3. 11 + 0. 0019(X) R Sauared 3297 Imp rovement 072 Fit 074 OM' HodelS Not constant; can t decide model
ANOMIA 5
In spite of what some people say, the lot (situation/condition) of the average man is getting worse , not better.
Proportion equals Disagree versus Agree and DK.
Year Proportion Stud a=== 1973 o. 4330 1502 GSS 1974 3760 1481 GSS 1976 0 . 3810 1497 GGS 1977 0 . -4197 1525 GGS
TEST ESTIHATE CHI PFWB -- UN Constant 402 plus or minus 0. 0126 14. 002 Linear Trend Weighted Regression Y = 4. 45 - 0. 0020 ( X ) R Sauared 0196 I ITIP rovement 618 Fit 14. 001
Hade 1: Not cons tant , not 1 i nea r ------======------(p'------_.------.------..------.------.--. ------.------( ----(-- -.--. ------_.---
-12- continued from ANOMIA4
ANOMIA6
It I S hardly fair to bring a child into the world with the way things look for the future.
Proportion equals Disagree versus Agree and DK.
Year Proport.ion St.ud!:
1973 0 . 6150 1503 GSS 1974 0 . 6160 1482 GSS 1976 5490 1495 GSS 1977 5934 1525 GSS
TEST ESTIMATE CHI PROB Const.ant. 594 plus or minus 0. 0127 18. 001 Linear Trend Wei hted Re ression Y :: 22. 02 0109(X) R SOIJared 4112 ImproVeRtent. 007 Fit 10. o . 005 Model: Si ni ficant. Linear Component
ANOMIA 7
Now I' m going to read you several more s ta temen ts . Most puhl1cofficials eop1e inpubiic office) are not rea in the problems of the average man. interested
Proportion equals Disagree versus Agree and DK.
Year Proport.ion Stud!: 1973 3960 1501 GSS 1974 3350 1481 GSS 1976 3260 1494 GSS 1977 3395 1523 GSS
TEST ESTIMATE CHI PROB Constant. 348 plus or minus 0. 0123 19. 001 Linear Trend Weighted Re ression Y = 23. 88 - 0. 0119(X) R SOIJared 4927 Imp roVeRtent o . 003 Fi t. 10. 007 --'- - 0'"'__- - Model: Si nificant. Linear Component =-===------,.------_._------....---- ..-....------. - - -....- ..'.'....-- '.---.- -., - -.- _.. ------..- --. -..-.------.-- ....- -.--' "..-- -..'...--...-:j ---._------.-.------(-.:::-: - - .-.- -.. ...------.--
-13- continued from ANOMIA
ANOMIA8
These days a person doesn t really know whom he can count on.
roportion equals Disagree versus Agree and DK.
Year Proportion StlJd
1973 0 . 3480 1502 GSS 1974 2410 1482 GSS 1976 0 . 2390 1497 GSS
TEST ESTIMATE CHI F'HOB .,...... - .... 'N'- 'M' "M _..M ..M _. ""M"- Constant 271 plus or minus 0. 0132 t 0 001 Linear Trend Weighted Regression Y = 58. 54 - 0. 0295(X) R SQua red o . 5873 Improvement 30. 001 Fit 24. 001 - --- -. 'M"- _...n - '_N"'- - -- _n Modell Sisnificant Linear Component
ANOMIA 9
Most people don t really care what happens to the next fellow.
Proportion equals Disagree versus Agree and DK.
Year roportion StlJd 1973 0 . 5090 1502 GSS 1974 0 . 4020 1481 GSS 1976 4030 1496 GSS
TEST ESTIMATE CHI - -- - 'M' _'0 Cons tant 437 plus or minus 0. 0147 45. 001 Linear Trend Weighted Resression Y = 59. 56 - 0. 0299 (X) SQIJa red 5634 Improvement 25. 001 Fit 20. 001 - ..n - - _. - - -..- "N Modell Significant Linear Component ------=::=------=;:------_.------.-- ....--.,------.-..------.... ------"-.-"------.---.-- - -;:;;;;------.----.------. ------.------:.:;: ---- -.-----. - ---._--
-14-
ARREST
Were you ever picked up, or charged , by the police , for any other reason whether or not you were guilty?
Proportion equals Yes versus No.
Year Proportion Stud 1*;' 1973 0 . 1080 1444 8SS 1974 1000 1476 8SS 1976 0870 1465 8SS 1977 1042 1497 8SS
TEST ESTIMATE CHI F'ROB "M -- Constant 099 pl'JS ' or' minus 0. 0078 228 Linear Trend Weighted Regression Y = 4. 37 - 0. 0022 (X) R SGIJared 1691 Improvement 599 Fit 163 MO' ...-n 'OM- .'MM', Model: Constant
ATTEND 1
How often do you attend religious services?
Proportion equals once a year or less versus more than once a year.
Year Proportion Stud 1964 O. 1680 1970 SRS760 1972 2910 1600 8SS 1973 3440 1495 8SS 1974 0 . 3440 1481 8SS 1975 0 . 3420 1487 8SS 1976 3570 1492 8SS 1977 0 . 3570 1521 8SS 1978 3766 1527 8SS
TEST ESTIMATE CHI PROB -- - - _'__M _M"__' -- -- Constant 303 plus or minus 0. 0081 363. 001 Linear Trend Weighted Regression Y =-30. 9 + 0. 0154(X) R SGua red 9443 Imp rovement 351. 001 Fit 12.1 o . 058 Model: Significant Linear Trend Fits ------======------.- - -- -.-.... ------... ---. ------_. ------.------...--.------.------.--. --- .: - .-.--.------
15-
ATTEND 2
How often do you attend religious services?
Proportion equals once a week or more versus less than once a week.
Year Proportion StlJd!: 1964 5203 1970 SRS760 1972 4120 1600 GSS 1973 3590 1495 GSS 1974 3620 1481 GSS 1975 3600 1487 GSS 1976 3490 1492 GSS 1977 3537 1521 GSS 1978 3464 1527 GSS
TEST ESTIMATE CHI PROB - ___0------. ..- MO' Cons tant 386 plus or minus 0. 0086 186. 001 Linear Trend Weishted Resression Y = 26. 21 - 0. 0131(X) R SalJared 9120 Improvement 171. 7 001 Fit 14. o . 025 Model: Sisnificant Linear Component
BABIES
Number of members in household under
Proportion equals one or more versus none.
Year Proportion Stud!:
1972 2650 1613 GSS 1973 2350 1504 GSS 1974 2410 1484 GSS 1975 2170 1490 GSS 1976 O. 2250 1497 GSS 1977 O. 1795 1521 GSS 1978 1945 1532 GSS ------. --..------...-.-- -.------.. ------... -..------...------.------.------(.:; ------.------.-
16-
TEST ESTIMATE CH I PROB - ____M Constant 220 plus or minus 0. 0080 45. 001 Linear Trend Weighted Regression Y = 24. 34 - 0. 0122(X) R Saua T' 8225 I mprovelT,ent 37. 001 Fit 144 _oo ..M -. ..- OOM"N -- - - - 'N' Model: Significant Linear Trend Fits
BORN
Were you born in this country?
Proportion equals Yes versus No.
Year Proportion Stud': 1964 9233 1968 SRS760 1965 9401 1520 SRS868 1966 9395 1521 SRS889A 1977 9313 1528 GSS 1978 9399 1530 GSS
TEST ESTIMATE CH I PROB
Constant 935 plus or minus- 0. 0055 o . 195 Linear Trend Weighted Regression Y = 0. 46 + 0. 0002(X) R Sauared 0372 IlT,proven,ent 596 Fit 123 Model: Constant
BRAZILl , BRAZIL2
These mnemonics along with all those that deal with views on countries (RUSSIA1 , RUSSIA2 , JAPAN I , JAPAN2 , ENGLAND I , ENGLAND2 , CANADA 1 , CANADA2 BRAZILl , BRAZIL2 , CHINA I , CHINA2 , ISRAELI, ISRAEL2 , EGYPT I , EGYPT2) are collected under IMAGES OF COUNTRIES which appears alphabetically. ------..------.- - - --. - -. --... - -...... -- - ."'- -- --_.-.-. -----...-...... --.--.. - -..- .--.------.- -- .... -- ---. -.----.-- ---
17-
BURGLR
During the last year--that is , between March and now--did anyone break into or somehow illegally get into your (apartment/home)?
Proportion equals Yes versus No.
Year ProF-ortion ShJd 1973 0750 1504 GSS 1974 0760 1481 GSS 1976 0710 1496 GSS 1977 o . 0661 1527 GSS
TEST ESTIMATE CH I Sli PROB -... -.--.... - _"R'-- - _._M" Constant 072 plus or minus 0. 0067 710 Linear Trend Wei hted Re ression Y = 4. 61 - O. 0023(X) R Saua red 8556 IIJ.F-rovelTent 1.2 271 Fit 907 ..M Model: Constant
BUSING
In general , do you favor or oppose the busing of (Negro/Black) and white school children from one district to another?
Proportion equals Favor versus Oppose and DR.
Year Proportion Stl.d 1970 1353 1434 AIP0801 1971 O. 1834 1516 AIF'0836 1971 O. 1727 1436 AIF'0838 1972 O. 1950 1606 GSS 1974 2010 1481 GSS 1975 O. 1720 1486 GSS 1976 1575 1498 GSS 1977 1629 1522 GSS 1978 0 . 2018 1516 GSS ------.------.-... ------.- ..--..------.-...... -- ,.-- -..------_.- - --.-- -- -._------.... ------:.:::-- .--. ------
18-
TEST ESTIMATE CH I PH DB Constant 174 plus or minus 0. 0065 42. 001 Linear Trend Weishted Resression Y = -4. 00 + 0. 0021 (X) Sa'.Ja red 0695 I rrlP rovelTent 083 Fit 39. 001 Model: Not constant, not linear
CANADA 1 , CANADA2
These mnemonics along with all those that deal with views on countries (RUSSIAl, RUSSIA2 , JAPAN I , JAPAN2 , ENGLAND 1, ENGLAND2 , CANADA 1, CANADA2 BRAZILl , BRAZIL2 , CHINA 1 , CHINA2 , ISRAELI, ISRAEL2 , EGYPTl, EGYPT2) are collected under GES OF COUNTRIES which appears alphabetically.
CAPPUN
Do you favor or oppose the death penalty for persons convicted of murder?
Froportion equals Favor versus Oppose and DK.
CAPPUN Yea Proportion St1.d 1953 0 . 6384 T49\ AIPD522 0 . 5340 1985 AIP0562 1957 4745 1509 AIP0588 1960 0 . 5267 2973 AIP0625 19..:'5 0 . 4535 1689 AIP0704 1966 0.4235 3518 AIP0729 1967 5573 1518 AIF'0746 1969 5130 1503 f'HP0774 7171 4820 1558 AIP0839 19'72 0 . 5089 1509 AIP0846 1972 5951 1462 AIP0860 19'72 0 . 5290 1609 GSS 1973 6Q20 1492 GSS 1974 6300 1480 1975 6010 1483 GSS :L976 0 . 6656 1540 AIP0949 lS?6 0 . 6650 1496 GSS 1977 0 . 6724 1520 GSS 1978 0 . 6632 1532 GSS ------_------. - -.- -.------.,------.------..--.--. -.------.-.- -- _.------. -..------.:::':: - -... "------+ - --() ------
-19-
TEST ESTIMATE CHI sa F'FWB
Constarlt 556 ?lus or minus 0. 0054 890 + 9 0 1 Linear T'rer,d Weishted Resression Y = -9. 80 + 0. 0053 (X) R Saua red 2200 Im!"T'ovement 195. 001 Fit 695 .::: + 001 1rJdel: Sisnificant Linear Component
CHILDS I
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).
Proportion equals none versus any children.
Year Proportion Stud 1972 2320 1605 GSS 1973 2520 1500 GSS 1974 2250 1477 GSS 1975 2600 1485 GSS 1976 2620 1497 GSS 1977 2526 1516 GSS 1978 2733 1526 GSS
TEST ESTIMATE CHI F'ROB Constant 250 plus or minus 0. 0084 14. o . 026 Linear Trend Weishted Resression Y =-11. 26 + 0. 0058(X) R Saua red 5396 Improvement 005 Fit 255 Hodel: SiSni ficant Linear Trend Fi
CHILDS2
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).
Proportion equals one to three versus none and four or more. .--.------"' - - -=---- "'.----- ~~~- - - - ~~~ ------'=' ------.. -- --=-:------.---. --- ""- ..- ""..'=-"'-- -.-.. -- .-. . -- '--=-'--.-.,- -- ..-----_. ------.-.-..------. ------.-.-.--.------.-.- ---""' - ''-' ------''-''--- .:;------. - --
20-
Year Proportion Stud!: 1972 0 . 5330 1605 GSS 1973 5270 1500 GSS 1974 5350 1477 GSS 1975 5430 1485 GSS 1976 5340 1497 GSS 1977 5625 1495 GSS 1978 5426 1526 GSS
TEST ESTIMATE CHI PROB - _._n__' n"'_.n' M- -,.-. .n. Constant 540 plus or minus 0. 0097 o . 562 Lirlear Trend Wei hted Re ression := -6. 36 + 0. 0035 (X) R Sauared o . 4355 Improvement 2 + 1 141 Fit 741 OM..- Model: Constant
CHILDS3
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).
Proportion equals four or more versus less than four. Yesr Proportion Stud!: 1972 2340 1605 GSS 1973 2210 1500 GSS 1974 2400 1477 GSS 1975 O. 1970 1485 GSS 1976 2040 1497 GSS 1977 1926 1516 GSS 1978 1841 1526 GSS
TEST ESTIMATE CHI F'ROB -M-- Cons tant 209 plus or minus 0. 0079 25.1 001 Linear Trend Wei hted Re ression := 17. 20 - 0. 0086(X) R SalJsred 7567 Improvement 19. 001 Fit o . 333 --_w_------Model: Si ni ficant Linear Trend Fits ------.----" .------.-.------....------.------:- -. ------
21-
CHINA I, CHINA2
These mnemonics along with all those that deal with views on countries (RUSS IA 1 , RUSS TA2, JAPAN I , JAPAN2 , ENGLAND I, ENGLAND 2 , CANADA I, CANADA2 BRAZILl , BRAZIL2 , CHINA I , CHINA 2 , ISRAEL I, ISRAEL2 , EGYPT I , EGYPT2) are collected under IMAGES OF COUNTRIES which appears alphabetically.
CHLDIDEL 5
What do you think is the ideal number of children for a family to have?
Proportion equals three or more versus less than three.
Year Proportion StlJd!: 1936 O. 5831 2720 AIP057 1941 6627 2822 AIP0233 1945 7580 2860 AIP0353 1947 6968 2803 AIP0389 1952 7032 1944 AIP0488 1953 0 . 6864 1534 AIP0515 1957 7187 1500 AIP0578 1959 7799 1422 AIP0621 1962 7005 1529 AIF'0655 1963 6679 1632 AIP0671 1965 6649 1531 AIP0709 1966 6183 1446 A I P0723 1967 7460 1433 AIP0755 1970 5757 11:'")1: A I P0808 1971 5007 1494 AIP0821 1972 5300 1455 GBB 1973 0 . 4700 1417 AIP0862 1974 4476 1423 AIP0890/891 1974 4744 1328 GBB 1975 4420 1355 GSB 1976 0 . 3906 1367 GSB 1977 4464 1409 GBB 1978 0 . 4325 1399 GBB
TEST ESTIMATE CHI PROB Constant 622 plus or minus 0. 0047 2395. 001 Linear Trend Weighted Regression Y = 12. 06 - O. 0058 ( X ) R SQIJared 4814 I If.p rovement 990. 001 Fit 1405. 001 Model: Significant Linear Component ------_._------"--.-.--.------
22-
CHLDMORE
Do you expect to have any (more) children?
Proportion equals Yes versus No and Uncertain.
Year Proportion StlJd!: 1957 o. 1977 2195 SRC422 1972 O. 2250 1252 8SS 1974 2350 1192 8SS 1975 2470 1180 8SS 1976 2327 1212 8SS 1977 2200 1359 8SS 1978 2303 1524 8SS
TEST ESTIMATE CH I PROB MO.'- -- -.. Constant 223 plus or minus 0. 0084 14. o . 023 Linear Trend Weishted ReSression = -3. 17 + O. 0017(X) R S uared o . 6216 Improvement 10. 001 Fit 576 Model: Sisnificant Linear Trend Fits
CIGWEEK
Have you , yourself , smoked any cigarettes in the past week?
Proportion equals Yes versus No.
Proportion Stud!: 1969 4092 1486 AIP0785 1971 4195 1485 AIP0830 1977 3784 1509 GSS
TEST ESTIMATE CHI PROB Constant 402 plus or minus 0. 0146 o . 054 Linear Trend Weishted Resression Y = 9. 38 - 0. 0046(X) R S uared o . 7805 IIIProvement 031 Fit 266 Model: Constant =::==------.------(--" ------.-----
23-
CLASS 6
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?
Proportion equals Middle and Upper classes versus Lower and Working classes.
Year Proportion Stud!:
1945 4827 1127 OF'OR52 1946 4156 2820 AIP0365 1947 o . 5099 2930 AIF'0393 1948 o . 4352 1583 AIF'0412K 1949 o . 3400 1283 NORC166DU-1 1949 3500 1232 NORC168DU-1 1950 3800 1270 NORC276-270 1952 o . 3815 3051 AIF'0502 1952 o . 3723 1762 ELEC52 1963 4738 1526 SRS330 1963 o . 4862 1345 SRS350 1966 o . 4805 1436 Sf(S876 1969 4395 1545 AIF'0783 1972 4610 1604 GSS 1973 o . 4850 748 GSS 1974 4890 1475 GSS 1975 4700 1482 GSS 1976 o . 4920 1491 GSS 1977 4661 1517 GSS 1978 o . 4774 1527 GSS 1978 5280 1466 NORC4269
TEST ESTIMATE CHI sa F'ROB ---- _M-- Cons tant 445 plus or minus 0. 0053 399. 1 001 Linear Trend Wei hted Re ression Y = -4. 10 + 0. 0023 (X) SOIJa red 3579 IIIProvement 115. . 001 Fit 283. 001 Model: Si nificant Linear Component ------.------:.;:: ..
24-
CLASSY 7
If you were asked to use one of five names for your social class , which would you say you belong in: the lower class , the working class, the middle class , the upper middle class , or the upper class?
Proportion equals Middle , Upper middle , and Upper classes versus Lower and Working classes.
Year roport. icm Stl
1964 6316 912 NORC466 1964 5875 1966 SRS7 60 1965 6419 497 l\fORC466 1965 0.. 6236 1440 SRS857 1965 5311 1433 SRS870 1973 0 . 5436 745 GSS
TEST ESTIMATE CHI F'ROB Constant o . 589 plus or mious 0. 0117 46. 001 ihear Tremd Weishted ReSression Y = 11. 72 - 0. 0057 (X) SQIJa rec:j 2763 Ilfl?rOVelTent 012 Fit 39. 001 Model: Sisnificant Linear Component
CLEAN
This mnemonic along with all those that deal with desirable children qua I i ties (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE , OBEYS , RESPONSI , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
COHORT
Respo dents grouped by date of birth.
Proportion equals born in 1939 or before versus born after 1939. ------=...=-*===------.------...., ---.------.------.- - - -.--. ------.-- .-.--;,. ------.-_. -.--- ..-- -..------.:;-.--:---.::: - -. -.-. ------
25-
Year Proportion Stud ==a. 1972 6891 1608 GSS 1973 O. 6773 1500 GSS 1974 6421 1478 GSS 1975 6121 1485 GSS 1976 5928 1493 GSS 1977 5923 1523 GSS 1978 5325 1525 GSS
TEST ESTIMATE CHI PROB Constant 623 plus or minus 0. 0094 117. 001 Linear Trend Weishted Resression Y = 49. 08 - 0. 0245(X) R SetUa red 9543 Improvement 112. 001 Fit o . 398
Model SiSnificant Linear Trend Fits
COLATH
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?
Proportion equals Yes, allowed versus Not allowed and DK.
Year Proportion Stud 1954 1190 4933 ICF'R7202 1972 0 . 4000 1610 GSS 1973 0 . 4060 1499 GSS 1974 4180 1482 GSS 1976 4130 1499 GSS 1977 3877 1527 GSS
TEST ESTIMATE CHI F'ROB - - M- ..- Constant 234 plus or minus 0. 0071 1547. 001 Linear Trend Weishted Resression Y =-27. 03 + 0. 0139(X) R Saua red 9346 IlJlProvement 1517. 001 Fit 29. 001 Model: Sisni ficant Linear Component ------.-.------.------"------.------(.:;- : - .-.------
26-
COLCOM
Now , I should like to ask you some questions about a man who admits he is a Conuunist. Suppose he is teaching in a college. Should he be fired , or not?
Proportion equals Not fired versus Yes fired and DK.
Year Proportion Stl.d 1954 0 . 0606 4933 ICPR7202 1972 3220 1607 GSS 1973 3910 1496 GSS 1974 4170 1479 GSS 1976 4140 1496 GSS 1977 3881 1523 GSS
TEST ESTIMATE CHI PROB Constant 148 pll.s or minl.s 0. 0058 2501 . 001 Linear Trend Wei hted Re ression Y =-31. 10 + 0. 0159CX) R SOl.a red 9539 Improvement 2473. 001 Fit 28.1 001 Hodel: Si nificant Linear Component
C OLHOMO
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?
Proportion equals Yes , allowed versus Not allowed and DK.
Year Proportion Stl.d
1973 4730 1502 GSS 1974 5020 1481 GSS 1976 5210 1496 GSS 1977 4928 1526 GSS ------.------'------.--- -. ---- -..------_.------.------_...-..-_.------.------
27-
TEST ESTIMATE CHI sa PROB Constant 497 plus or minus 0. 0129 065 Linear Trend Weighted Regression Y =-11. 01 + 0. 0058(X) R Soua red 2873 Improvement 2.1 148 Fit 5.1 075 Model: Constant
, COLMIL
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?
Proportion equals Yes , allowed versus Not allowed and DK.
Year Proportion Stud
1976 0 . 3700 1494 GSS 1977 0 . 3401 1526 GSS
TEST ESTIMATE CHI PROB _H -. _M ____R- Cons tant 355 plus or minus 0. 0174 o . 082 Linear Trend Weighted Regression Y = 59. 44 - O. 0299(X) R Souared 1 . 0000 Improvement 082 Fit 1 . 000 ___..aM.' W___N _.M__M _-n Model: Constant
COLRAC
, 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?
Proportion equals Yes, allowed versus Not allowed and DK.
Year Proportion Stud 1976 0 . 4050 1495 GSS 1977 4083 1526 GSS ------.-- .------.------.------.------... ------.(------. ------
28-
TEST ESTIMATE CHI SQ PROB WM - Constant 407 plus or minus 0. 0179 o . 850 Linear Trend Weishted Resression Y = -6. 03 + 0. 0033(X) R SalJa red 1 . 0000 Improvement o . 850 Fit 1 . 000 -- - - M_- - - Model: Corlstant
COLSOC
Or consider a person who favored goverrmlent ownership of all the railroads and all big industries. Should such a person be allowed to teach in a college or university, or not?
Proportion equals Yes , allowed versus No and DK.
Year Proportion StlJd!: 1954 3296 4933 ICPR7202 1972 5590 1608 GSS 1973 5760 1499 GSS 1974 5720 1480 GSS
TEST ESTIMATE CHI f'ROB Constant 439 plus or minus 0. 0099 583. 001 Linear Trend Weishted Resression Y =-24. 26 + . 0126(X) R Sauared 9966 Improvemerlt 582. 001 Fit o . 643 Hodel: SiSni ficant Linear Trend Fits
COMM
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?
Proportion equals It' s the worst kind of all versus It' s bad, but no worse than some others, It' s all right for some countries, It' s a good form of government , and DK. ------..------.------.-- --.- ---.------.....-...... -..-- -.--..------..-.------.-.-.- -- -. ---_.------.--.------.------...--..------..------.------.------_. -- ---.------..-.------:.::: -.-- -.. --- -.--- .._-.....-
-29-
Veer Proportion StlJd!: 8:=== 1973 4260 1501 GSS 1974 4910 1480 GSS 1976 5080 1497 GSS 1977 5256 1526 GSS
TEST ESTIMATE CHI PROIt ....-. _M Corlstant 487 plus or minus 0. 0129 34. 001 Linear Trerld Weishted Resression Y =-42. 38 + 0. 0217(X) R Souared 8247 I ffP rovelTlent 28. 001 Fit 049 M" Model: Sisnificant Linear Component
COMPREND
Was respondent I S understanning of the questions...
Proportion equals Good versus Fair and Poor.
Yea I' P ropo rt i on Stud!:
1972 7740 1599 GSS 1973 o. 7830 1494 GSS 1974 7860 1479 GSS 1975 8010 1482 GSS 1976 7820 1481 GSS 1977 8016 1522 GSS 1978 7669 1510 GSS
TEST ESTIMATE CHI PROB
Constant 785 plus or minus 0. 0080 O. 172 Linear Trend Weishted Resression Y = -0. 48 + 0. 0006(X) R Soua red 0050 Improvement 0.1 757 Fit 112 Hodel: Constant ------: - . -----
-30-
CONARM 8
I am going to name some institutions in this country. As far as the people running these institutions are concerned , would you say you have a great deal of confidence , only some confidence , or hardly any confidence at all in them? Mi li tary.
Proportion equals A great deal versus only some, Hardly any, and DK. Year Proportion Stud
1973 3170 1498 GSS 1973 0 . 4045 1592 HARRIS2343 1974 3960 1483 GSS 1974 3070 1522 HARRIS2434 1974 0 . 3395 1517 HARRIS7487 1975 0 . 3520 1487 GSS 1975 2670 1868 HARRIS2515 1975 0 . 2450 1575 HARRIS7581 1975 0 . 3030 1480 HARRIS7585 1976 0 . 3920 1491 GSS 1976 0 . 2250 1491 HARRIS2521 1976 0 . 3040 1800 HARRIS2628 1976 3620 1520 HARRIS7681 1977 3630 1526 GSS 1978 2952 1528 GSS
TEST ESTIMATE CHI PROB
Cons tant 319 plus or minus 0. 0061 310. 001 Linear Trend Weighted Regression Y = 18. - 0. 0092(X) R Soua red o. 0502 Improvement 12. 001 Fit 297. 001 Model: Significant Linear Co ponent
CONBUS
Maj or Companies.
Proportion equals A great deal versus Only some , Hardly any, and DK. ====------======------===== ------. ------:.;::- - - .-. -- ---
31- continued from CONARM
Ye.r Proportion Stl.Jd': 1973 2930 1500 8SS 1973 3377 2991 HARRIS2319 1973 2977 1592 HARRI82343 1973 2760 1482 HARR I 82354 1974 3130 1483 8SS 1974 1520 1518 HARRI82430 1974 1590 1522 HAr RI82434 1974 2167 1518 HAr RIS7487 1974 2180 1484 NORC4179 1975 1930 1483 8SS 1975 1810 1836 HARRIS2525 1975 0.1970 1578 HARRIS7581 1975 1970 1491 HARRIS7585 1976 2200 1491 8SS 1976 O. 1630 1495 HARr IS2521 1976 0 . 2050 1801 HARRIS2628 1976 2150 1519 HARRIS7681 1977 0 . 2720 1526 GSS 1977 0 . 2040 1519 HARRIS7690 1978 2165 1529 GSS
TEST ESTIMATE CHI PROB Constant 222 plus or Rlinus 0. 0046 546. 001 Linear Trend Weishted Resression 30. 10 - 0. 0151(X) R SGua red o . 1641 I RIP roveRient 83. 001 Fit 463. 001 Hodel: Sisni ficant Linear Component
CONCLERG Organized religion.
Proportion equals A great deal versus Only some , Hardly any, and DK. ------.....------. ------.- .---- -.------: ---.------
32-
continued from CONARM
Year Proportion StlJd!:
1973 O. 3480 1495 GSS 1973 3562 1592 HARRIS2343 1973 2890 1481 HARR I S2354 1974 4430 1481 GSS 1974 3200 1521 HARr IS2434 1974 3182 1518 HARRIS7487 1974 3210 1485 NORC4179 1975 2440 1485 GSS 1975 3220 1576 HARRIS7581 1975 3550 1489 HARRIS7585 1976 3070 1491 GSS 1976 2370 1494 HARR I S2521 1977 3997 1526 GSS 1977 2930 1519 HARRIS7690 1978 3067 1526 GSS
TEST ESTIMATE CHI F'ROB
Cons tant 320 plus or minus 0. 0062 271. 001 Linear Trend Weishted Resression Y = 13. 36 - 0. 0066(X) R Sauared o . 0337 Improvement o . 003 Fit 262. 001 Model: Sisni ficant Linear Component
CONEUC Education.
Proportion equals A great deal versus Only some, Hardly any, and DK.
Year Proportion StlJd 1973 3700 1495 GSS 1974 4910 1480 GSS 1975 3090 1488 GSS 1976 3750 1489 GSS 1977 0 . 4063 1526 GSS 1978 2847 1528 GSS ------'------._---.------.------.------...------.....--..-_...------....------..------.------.------:::-:------:-(-. --- - . . ------
33- continued from CONARM
TEST ESTIMATE CH I F'ROB Constant 368 plus aT' minus 0. 0101 175. 001 Linear Trend Weishted Resression Y = 35. 74 - 0. 0179(X) R Sauared o . 2004 IIJProvelT,ent 36. 001 Fit 138. 001 M"_'- - - _.- .... 'OM Hodel: Sisni ficant Linear COIJPonent
CONFED
Executive branch of the federal government.
Proportion equals A great deal versus Only some , Hardly any, and DK.
Year F' ropo rt i on Stud
1973 0 . 2930 1498 GSS 1973 1937 1590 HARRIS2343 1973 O. 1340 1478 HARRIS2354 1974 O. 1360 1482 GSS 1974 0 . 2000 611 HARRIS2430 1974 O. 1770 1520 HAt-.rUS2434 1974 o. 1170 1471 HARRIS7482 1974 0 . 2828 1517 HARFUS7487 1974 1420 1483 NORC4179 1975 O. 1330 1488 GSS 1975 1310 1572 HAf,RIS7581 1975 1600 1478 HARF\IS7585 1976 1340 1494 GSS 1976 O. 1080 1488 HARRIS2521 1976 1650 1517 . HARRIS7681 1977 2793 1525 ass 1977 0 . 2330 1515 I-ARRIS7690 1978 1250 1528 ass
TEST ESTIMATE CHI PF\OB -. '__M'- Cons tant 161 plus or minus 0. 0045 549. 001 Linear Trend Weishted Regression Y = 8. 54 - 0. 0042 (X) R Saua red o . 0085 Improvement --27. 1 . 000 Fit 576. 001 --._-M- - _-.M.
Hade 1: Not constant, not linea ------.------..:: ------
34-
continued from CONARM
- C ONF INAN
Banks and financial institutions.
Proportion equals A great deal versus Only some , Hardly any, and DK.
Year Proportion Stud!: 1973 4120 1476 HARRIS2354 1975 3190 1488 GSS 1975 4150 1574 HARRIS7581 1975 4230 1481 HARRIS7585 1976 3950 1492 GSS 1976 0 . 3350 1491 HARRIS2521 1977 4194 1526 GSS 1977 4000 1513 HARRIS7690 1978 0 . 3292 1528 GSS
TEST ESTIMATE CHI PROD Constant 381 plus minlJs 0083 95. 001 Linear Trend We i shted Resression 17. 0087 (X) SQIJared 0872 Improvement 0 . 004 Fit 87. 001 Model: SiSnificant Linear Component
CONJUGE u. S. Supreme Court
Proportion equals A great deal versus Only some, Hardly any, and DK. ------: ------.------. ------.------..-.------.- -'-- - -.-,.--(-:--- -.. --..- ..------
35-
continued from CONARM
Year roportion Stud!: a::== 1973 3260 1447 8SS 1973 3331 1591 HAr RIS2343 1974 3320 1482 GSS 1974 3480 610 HAr RIS2430 1974 3500 1521 HARR I S2434 1974 4007 1515 HARraS7487 1974 3410 1485 NORC4179 1975 3080 1485 GSS 1975 2870 1575 HARRIS7581 1975 2750 1482 HAI:mIS7585 1976 0 . 3540 1491 GSS 1976 2190 1489 HARRIS2521 1976 3160 1519 HARRIS7681 1977 0 . 3568 1522 GSS 1977 0 . 2860 1516 HARRIS7690 1978 0 . 2809 1527 GSS
TEST ESTIMATE CHI F'ROB ____0- - ..-.--- - - , Cons tant 315 plus or minus 0. 0061 202. 001 Linear Trend Weighted Regression Y = 24. 68 - 0. 0123(X) R Soua red O. 1689 I IJP rovelTent 32. 001 Fit 169. 001 -. M"'- Hodel: Significant Linear Component
CONLABOR Organized labor.
Proportion equals A great deal versus Only some , Hardly any and DK. ------_.------. ..- --.------.-.------(.:::-- --- .. - --
36-
continued from CONARM
Year Proportion 5 tl,J !:
1973 1550 1495 GS5 1973 o. 1980 1591 HARRI52343 1973 1622 1480 HARRI52354 1974 1820 1481 G5S 1974 1850 1520 HARRI52434 1974 1744 1508 HARRI57487 1974 O. 1870 1484 NORC4179 1975 1010 1488 G55 1975 O. 1630 1826 HARRI52515 1975 1350 1571 HARR I 57581 1975 1800 1485 HARR I 57585 1976 0 . 1160 1494 G55 1976 0990 1489 HARRI52521 1976 1060 1797 HARR I 52628 1977 1476 1524 G55 1977 0.1450 1519 HARRI57690 1978 O. 1099 1528 G55
TEST ESTIMATE CHI PROB Constant 143 plus or minus 0. 0043 233. 001 Linear Trend Weighted Regression == 29. 73 - 0. 0150(X) SQIJa red o . 4283 I IfIP rovement 93. 001 Fit 139. 001 Model: Signi ficant Linear Component
CONLEGIS
Congre s s .
Proportion equals A great deal versus Only some , Hardly any, and DK. .-==------======------..- --'-'- - -'------,.- - --..- --. ------.------.:;-: - ---.------
37-
continued from CONARM
Year ProF-ortion Stud1:
1973 0 . 2350 1497 GSS 1973 0 . 2970 1497 HARRIS2343 1973 1711 1479 HARRIS2354 1974 1710 1481 GSS 1974 1620 611 HARRIS2430 1974 O. 1640 1519 HAI::RIS2434 1974 1782 1515 HAFmIS.7487 1974 2270 1485 NORC4179 1975 1330 1487 GSS 1975 O. 1240 1837 HARf(IS2515 1975 1360 1576 HARRIS7581 1975 1210 1488 HAt(RIS7585 1976 1370 1495 GSS 1976 0880 1491 HARRIS2521 1976 0950 1801 HARRIS2628 1976 O. 1790 1516 HARRIS7681 1977 1911 1523 GSS 1977 O. 1650 :L518 HARRIS7690 1978 O. 1290 1527 GSS
TEST ESTIMATE CHI F'ROB .-.-- - _M- --. Constant 151 plus or minus 0. 0042 485. 001 Linear Trend Weishted ReSression Y = 37. 43 - 0. 0189(X) R SalJa red o . 2908 I !TIF-rovelTlent 113. 001 Fit 371 . 6 001 - -.- - 0- - M- - 'OM- MO'
Hodel: Sisni icant Linear Component
CONMIC Medicine.
Proportion equals A great deal versus Only some , Hardly any, and DK. .------'------.----....------.---.... ------.(-( . ----
38- continued from CONARM
Year F' ropo rt i on StlJd!: 1973 5410 1496 8SS 1973 5757 1591 HARRIS2343 1973 5985 1482 HARRIS2354 1974 6040 1482 8SS 1974 4970 612 HARRIS2430 1974 4850 1518 HARRIS2434 1974 5260 1472 HARRIS7482 1974 4927 1512 HARRIS7487 1975 5050 1487 8SS 1975 4280 1576 HARRIS7581 1975 5370 1480 HARRIS7585 1976 5410 1492 8SS 1976 4200 1492 HARRIS2521 1977 5151 1526 8SS 1977 4250 1516 HARRIS7690 1978 4604 1527 8SS
TEST ESTIMATE CHI PROB Constant 510 plus or minus 0. 0065 307. 001 Li nea r Trend Weishted Resression := 45. 77 - 0. 0229 ( X) R Sauared O. 3559 ' Improvement 114. 001 Fit 193. 001 Hodel: Sisni ficant Linear Component
CONPRESS
Pres s.
Proportion equals A great deal versus Only some , Hardly any, and DK. ------======------.------..---.- -.------..------.--.-.- -..------.---..-.--..------.-- ..-.-- -:-... ------.- -.::: -- --. ------
39- continued from CONA
Year Proportion StlJd1: 1973 2310 1500 GSS 1973 3028 1592 HARRIS2343 1973 2782 1481 HArmIS2354 1974 2590 1481 GSS 1974 3090 611 HARRIS2430 1974 2560 1521 HARRIS2434 1974 2477 1514 HARR I 57487 1974 2510 1481 NOr C4179 1975 2390 1484 G5S 1975 2590 1577 HAr RIS7581 1975 2750 1482 HARRI57585 1976 0 . 2850 1490 GSS 1976 2010 1490 HARRIS2521 1976 2500 1798 HARI:;IS2628 1976 2130 1518 HARRIS7681 1977 2510 1526 GSS 1977 O. 1780 1515 I-AraUS7690 1978 0 . 2009 1528 GSS
TEST ESTIMATE CHI PROB
Cons tarlt 244 plus or minus 0. 0053 162. 0: . 001 Linear Trend Weighted Regression Y = 28. 16 - O. 0141(X) R SGIJared o . 3621 Improvement 60. 001 Fit 101. 0: . 001 - N" - --.-.- ... -. Model: Signi icant Linear Component
i------_.
CONser
Scientific Community.
Proportion equals A great deal versus Only some , Hardly any, and DK.
Year Proportion Stud
1973 3690 1495 GSS 1973 0 . 4547 1480 HARRIS2354 1974 0 . 4500 1481 GSS 1975 3770 1487 GSS 1975 4790 1572 HARraS7581 1976 4290 1486 GSS 1977 4100 1522 G5S 1978 3621 1527 GSS ------.------"---'- -.-.------_.._--.. --.------.------.------.._------'------:------(---- . .-.------
40-
continued from CONA
TEST ESTIMATE CHI sa PROf! - _M .- riM - ..-.------. _'_"M'- Cons tant 415 plus or minus 0. 0089 85. 1 001 linear Trend Weighted Resression Y = 15. 71 - 0. 0077(X) R SCHJa red 1034 I RIP rovement O. 004 Fit 76. 001 - - -M _'M"'_'- M_- Model: Significant Linear Component
CONTV
TV.
Proportion equals A great deal versus Only some , Hardly any, and DK.
Year Proportion Stud !: 1972 1570 3134 HARRIS2219 1973 1860 1497 GSS 1974 0 . 2340 1481 GSS 1975 1780 1486 GSS 1976 1870 1490 GSS 1977 1744 1525 GSS 1978 1376 1526 GSS
TEST ESTIMATE CHI PROB Cons tant 173 plus or minus 0. 0069 56. 001 Linear Trend Weighted Resression Y = 3. 13 - O. OOI5(X) R Saua red 1098 Improvement '-2. 1 . 000 Fit 59. 001 Hode 1: Not constant, not ioea r
CONSIDER
This mnemonic along with all those that deal with desirable children I qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE , OBEYS , RES PONS I , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically. ------.------.------_.-- ---_.. ------.----..------.- - - -.....- - -.------.--- -.------
41-
CONTROL
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUDGMENT , CONTROL , ROLE AMICABLE , OBEYS , RESPONSI , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
COOP
In general , what was the respondent s attitude toward the interview?
Proportion equals Friendly and interested versus Cooperative but not particularly interested , Impatient and restless , and Hostile.
Year Proportion St1Jd 1973 8190 1490 8SS 1974 8440 1480 8SS 1975 8310 1479 8SS 1976 8320 1486 8SS 1977 8120 1521 8SS 1978 8097 1508 8SS
TEST ESTIMATE CHI SQ F'ROB - M- - Constant 825 plus or minus 0. 0080 097 Linear Trend Weishted Resression Y = 9. 02 - 0. 0042 ( X) R Saua red o . 3239 I ",p rovelflent 078 Fit O. 178 -.--.- - -_M - - Model: Constant
COURTS
In general , do you think the courts in this area deal too harshly or not harshly enough with criminals?
Proportion equa Is Not harshly enough versus Too harshly , About right , and DK. ------.------.------.:; .
42-
Year Proportion Stud': 1965 4885 1527 AIP0709 1965 5925 1583 AIP0716 1968 6313 1500 AIP0757 1969 7438 1460 AIP0773 1972 O. 7440 1504 AIP0861 1972 6630 1609 GSS 1973 7310 1494 GSS 1974 7790 745 GSS 1975 7920 1483 GSS 1976 0 . 8100 1494 GSS 1977 8304 1527 GSS 1978 0 . 8488 1528 GSS
TEST ESTIMATE CHI PROD Constant 738 plus or minus 0. 0065 956. 001 Linear Trend Weishted Resression Y =-42. 71 + 0. 022Q(X) R Sauared o . 8519 rIJ,provement 823. 001 Fit 133. 001 Model: SiSnificant Linear Component
DEGREE
Respondent' s degree.
Proportion equals less than high school versus high school or higher.
Year Proportion St'.Jd': 1972 3990 1590 GSS 1973 3710 1489 GSS 1974 3530 1483 GSS 1975 3590 1489 GSS 1976 3540 1493 GSS 1977 3517 1524 GSS 1978 3074 1529 GSS ------.------.--.------._--_. --...- -. _..- ....------.-..- -. --.----.-----_.------.--- --..- --.--. ------_._---'------.(---_.----:----.-- .. ------
43-
TEST EST I MA TE CHI SQ F'ROB Constant 356 plus or minus 0. 0093 30. 001 Linear Trend Weishted Resression Y = 22. 71 - 0. 0113(X) R Soua red 7788 IIIProvenlent 24. 001 Fit 246 - -M'- - OM' Hodel: Sisni ficsnt Linear Trend Fits
DIVLAW
Should divorce in this country be easier or more difficult to obtain than it is now?
Proportion equals Easier versus More difficult , Stay as is , and DK.
Year Proportion StlJd!: 1968 1823 1536 AIF'0764 1974 3190 1481 8SS 1975 2850 1489 8SS 1976 2734 1496 8SS 1977 2931 1525 8SS 1978 2684 1509 8SS
TEST ESTIMATE CHI F'ROB 'R' - .H'h_'- - Cons tant 264 plus or minus 0. 0092 99. 001 Linear Trend Weishted Resression Y =-,20. + 0. 0104(X) R Souared 5409 Improvement 62. 001 Fit 36. 001 .M. -- .M' - - ..-- "M Model: Sisnificant Linear Component
DIVORCE
IF CURRENTLY MARRIED OR WIDOWED:
Have you ever been divorced or legally separated?
Proportion equals Yes versus No. ------. . -.- -_.------_------,. ------.-.. ------.. ------_.------
44-
Year P ropo rt i on Stud!: - -.'I_-.. 1972 O. 1450 1261 GSS 1973 1320 1193 GSS 1974 1410 1181 GSS 1975 1520 1143 GSS 1976 o. 1370 1133 GSS 1977 O. 1590 1126 GSS 1978 1625 1108 GSS
TEST ESTIMATE CHI F'ROB Constant 146 plus OT' minus 0. 0078 319 Linear Trend Weighted Resression Y = -6. 81 t 0. 0035CX) R ScuJared o . 4841 I ",p rovelTent 071 Fit O. 575 Model: Constant
DRINK
Do you ever have occasion to use ny alcoholic beverages such as liquor, wine , or beer , or are you a total abstainer?
Proportion equals Uses alcohol versus Total abstainer.
Year Proportion Stud!: 1939 6143 3075 AIP0160 1945 8177 3066 AIP0360 1946 7769 3115 AIF'0375 1947 6334 2777 AIF'0405 1949 5550 2838 AIF'0450 1950 0 . 6464 1335 AIF'0456 1951 6079 1288 AIP0479TPS 1952 6320 2252 AIF'0509 1954 0 . 6336 1441 AIF'0526 1955 6079 1576 AIF'0543 1956 5725 959 AIF'0558 1956 5873 1992 AIP0562 1957 5789 1615 AIP0580 1958 6796 2141 AIP0594 1959 6124 1517 AIP0622 1963 7078 1509 NORC160 1966 6759 1444 AIP0723 1968 6469 1467 AIP0758 1969 6514 1460 AIP0773 1974 6887 1529 AIF'0903K 1977 7207 1525 GSS 1978 7240 1529 GSS ------.. ------..------..-..------.. ------.. --- --_... ------_. _._------..._------.------.--.. ------..-.------.---..-.- .------..------.------:--- --. ------....-
45-
TEST ESTIMATE CHI sa PROB Constant 670 plus or minus 0. 0046 1164. 001 Linear Trend Weishted Resression Y = 1. 76 - 0. 0006 (X) R Soua red 0382 Improvement -47 . 8 1 . 000 Fit 1212. 001 Hod.l: Not constant, not linear
DRUN
Do you sometimes drink more than you think you should? (asked only o those who drink , see DRINK) Proportion equa Is Yes versus No and DR.
Year Proportion Stud 1977 3755 1084 GSS 1978 3521 1102 GSS
TEST ESTIMATE CHI PROB .M' Constant 364 plus or minus 0. 0206 1.3 o . 255 Linear Trend WeiShted Resression Y = 46. 59 - 0. 0234(X) R Souared 1 . 0000 I IJP rovement 1.3 o . 255 Fit 1 . 000 ------M__"" --'-'- - .0. M" HM Hodel: Constant
EARNRS 1
Just thinking about your family now--those people in the household who related to you . How many persons in the farni ly, including yourself earned any money last year from any job or employment?
Proport ion equa 1 s none ver sus any. ------....------.-----.------.((------..
46-
Year Proportion Stud!:
1972 0 . 1180 1580 GSS 1973 1080 1494 GSS 1974 1310 1469 GSS 1975 1340 1482 GSS 1976 0.1560 1491 GSS 1977 1402 1526 GSS 1978 O. 1503 1524 GSS
TEST ESTIMATE CHI PROB Constant 132 plus or minus 0. 0066 23. 001 Linear Trend Weishted Resression Y ::-13. 15 + 0. 0067(X) R SGuared 7169 Improvement 17. 001 Fit 271 Model: Sisni ficant Linear Trend Fits
EARNRS2
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 from any job or employment?
Proportion equals two or more versus none and one.
Year Proportion StlJd!:
1972 4500 1580 GSS 1973 4500 1494 GSB 1974 4650 1469 GSS 1975 4640 1482 GSS 1976 4230 1491 GSS 1977 0 . 4580 1526 GSS 1978 0 . 4370 1524 GSS ------....------.-...------...- - --.------.- - - ....-.-- -_. -.------..---...-...... -.. -..- -.-.----.....-- -.------_..------.--- --. ------:- - - -'-.------.- -
47-
TEST ESTIMATE CHI SQ F'ROB Constant 449 plus or minus 0. 0097 211 Lim,.r Trend WeiShted Resression Y = 4. 95 - 0. 0023 ( X) R Sauared O. 1091 I.."rovement 656 Fit 187 Hodel: Constant
EDUCI
Respondent s education.
Proportion equals less than twelth grade versus twelth grade to eight years of college.
Year Proportion StlJj!:
1972 3990 1608 GSS 1973 0 . 3670 1499 GSS 1974 0 . 3460 1481 GSS 1975 3620 1487 GSS 1976 0 . 3560 1493 GSS 1977 3664 1520 GSS 1978 3178 1526 GSS
TEST ESTIMATE CHI F'ROB --.- - --.,..- _"__N -- 'M' ...... Constant 359 plus or minus 0. 0093 24. 001 Linear Trend Weishted Regression Y = 17. 25 - 0. 0086 (X) R Saua red 5459 Improvement 13. 001 Fit 10. 054 Model: Sisnificant Linear Trend Fits ------'------.------
48-
EDUC2
Respondent' s education.
Proportion equals one to eight years of college versus twelth grade or less.
Year Proportion Stud!:
1972 2860 1608 GSS 1973 3100 1499 GSS 1974 3220 1481 GSS 1975 3030 1487 GSS 1976 3030 1493 GSS 1977 3000 1520 GSS 1978 3277 1526 GSS
TEST ESTIMATE CHI PROB
Constant 307 plus or minus 0. 0089 O. 197 Linear Trend Weishted Resression Y = -6. 01 + 0. 0032(X) R S uared o . 2234 Improvement 2.1 146 Fit o . 258 - _M ------_M - - Model: Constant
EGYPTl EGYPT2
These mnemonics along with all those that deal with views on countries (RUSSIAl , RUSSIA2 , JAPANI , JAPAN2 , ENGLAND I , ENGLAND2 , CANADAI , CANADA2 BRAZILl , BRAZIL2 , CHINA I , CHINA2 , ISRAELI , ISRAEL2 , EGYPTl, EGYPT2) are collected under IMGES OF COUNRIES which appears alphabetically.
ENGLANDl , ENGLAND2
These mnemonics along with all those that deal with views on countries (RUSSIA I, RUSSIA2 , JAPANl , JAPAN2 , ENGLANDl , ENGLAND2 , CANAA1 , CANADA2 BRAZILl , BRAZIL2 , CHINA1 , CHINA2 , ISRAELI, ISRAEL2 , EGYPTI , EGYPT2) are collected under IMGES OF COUNTRIES which appears alphabetically. ------.-'------.------. -.- - - - -. -- -.- -. .-..-.-----..-....-.-.------.----.-.. - - --.------.,.- -. .-.- - - --.;-.::: - - .-. -- -..---
49-
EQWL TH
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.
Proportion equals responses I through 3 on a seven point scale which ranges from Government should (1) to Government should not (7) versus responses 4 through 7 and DK.
Year Proportion Stud 1973 5761 1484 NORC4179 1978 4723 758 GSS
TEST ESTIMATE CHI PROEI - - M- - HM - - - M" "M Constant 542 plus or minus 0. 0209 21. 001 Linear Trend Weighted Regression =: 41. 56 - 0. 0208(X) R Soua red 1 . 0000 Improvement 21. 001 Fit 1 . 000 'M' -., Hodel: Significant Linear Trend Fits
ETHNU
From what countries or part of the world did your ancestors come?
Proportion equals one country named versus two countries and no countries named.
Year Proportion tud
1972 5900 1586 GSS 1973 5820 1499 GSS 1974 5530 1481 GSS 1975 o . 5340 1489 GSS 1976 5370 1495 GSS 1977 5536 1521 GSS 1978 5187 1521 GSS ------.------..--.- - -- . --- -.------.----.- - - --...- --.. - -.,.- - -.-.--..------'.'------.---..- - --. ----.--.---._------..---.------..------.. - .-----.:::-:.(._-- ..-.. ------..
50-
TEST ESTIMATE CH I S( PROS M-_'- -. ..--- - Corls tant 553 plus or minus 0. 0097 25. 001 Linear Trend Weighted Regression Y = 20. 86 - 0. 0103(X) R SalJared 7335 I !TP rovement 18. 001 Fit 259 .--.- __'-M Model: Significant Linear Trend Fi
EVSMOKE
Have you ever smoked regularly? (question asked of those who state that they do not smoke)
Proportion equals Yes versus No.
Year Proportion StlJd!: 1960 2470 881 NORC428 1978 3436 873 GSS
TEST ESTIMATE CHI PROS -'0- - - Constant 290 plus or minus 0. 0216 19. 001 Linear Trend Weighted Regression Y =-10. 28 + 0. 0054(X) R SalJared 1 . 0000 I niP rovement 19. 001 Fit 1 . 000 Model: Significant Linear Trend Fits
EVWORK
Did you ever work for as long as one year? (a sked of those who are currently retired , in school , keeping house , or other)
Proportion equals Yes versus No. ====------.------..------.- - ---.. --. - - '- -.- - -..--- -..- - .--.------...... --.---.-- --.------..-- --.- - -.-- -.. - --:.::: --- -. ._. - -.--
51-
Year Proportion StlJd\: 1963 7997 639 SRS350 1964 8960 923 NORC466 1966 0 . 7976 662 Sf(S889A 1967 7647 595 NORC401 1 1968 7731 683 NORC4050 1972 7540 658 8SS 1973 7730 649 GSS 1974 8000 641 GSS 1975 7890 636 GSS 1976 7800 658 GSS 1977 8024 572 GSS 1978 7876 598 GSS
TEST ESTIMATE CHI PROB Constant 806 plus or minus 0. 0088 109. 001 Linear Trend Weighted Regression Y = 10. 73 - 0. 0050 (X) R Sauared 1293 Improvement 28. 001 Fit 80. 001 Model: Sisnificant Linear Component
FAIR
Do you think most people would try to take advantage of you if they got a chance , or would they try to be fair?
Proportion equals Would try to be fair versus Would take advantage of you Depends , and DK.
Year Proportion Stud \: 1964 6729 1443 ELEC64 1968 6677 1342 EL.EC68 1972 5893 2179 ELEC72 1972 5920 1611 GSS 1972 6168 1464 C5046 1973 5730 1503 GSS 1974 5762 2473 ELEC74 1975 6160 1488 GSS 1976 5990 1873 EL.EC76 1976 5950 1491 GSS 1978 6446 1.525 GSS ------...... -- -.--. - -.... ------. -..--.. -- .-..------.-..- .- -....------(). ------.... -. ------...-.------.... '.'- -- -. -----..'.- ....-- -.. - .-. - - --.- --- -.- ---.----.... - -. -.... ------..- -...------..--..- --...- ....-.. -- - -. -.....::.:::------...-. ------.-
-52-
TEST ESTIMATE CH I SQ PROD M__". - M__ Corlstant 610 plus Dr minus 0. 0072 82. 001 Lirlear Trend Weighted Regression Y = 9. 92 - 0. 0047(X) R SOIJared 2908 Improvement 22. 001 Fit 60. 001 Model: Significant Linear COIJPonent
FAMILY 16
Were you living with both your own mother and father around the time you were 16?
Proportion equals was living with both mother and father versus was not.
Yea Proporlion Stljd\ n.,...... -...... ,-.- .n...... n...... n...... h ...... 'n.-." .n.n O. ..n ..., ...... n...,_,...,... ""OM,''' .-.
1972 ?4:n :1. c):1. GSS 19T3 7B20 :1 )02 GSS :1974 () . 7 :i9() 14134 GSB :l97:'i (). '7 6 1490 :)S 1976 O. "lcdO 1496 GSt; 1977 ?4:1 GSS 197B () V '?' i ' );3:1
TEST FSTIMf CH:I E)( PI:;DB .0. M.. -. nO' -- .- 'M"- -- 'OM .- n" .... N...... n .n. ..n .-. .... '.., -.. .-. M.. ..M .-. 'M' ...... n nM CCJnstant 758 plus OT' minus O. 00B3 9. "7 :l3 L:in( aT' TT'E:'nd We:i Shled ReS T'ess:i CJn Y = 3. 62 - O. 0014(X) uaT'(; 0499 I ITP T'OV(0ITI(-: O. )08 Fit o . 098 ..- -...... "" -- ,.- ...... - .... ".- ,- 'M'.- .....- ..,- .... -.. 'M' -- "M "" ...... -.. - - M" MCJdel: Constant
FEAR
Is there any area right around here--that is , within a mile--where you would be afraid to walk alone at night?
Proportion equals Yes versus No. =------===--====------. ------.....--.------...---..------.- -.--- -.------....------... - --- -.-- .--..------.--- - -.:;-:------.---.------
53-
Year Proportion St'Jd\: 1965 3589 1474 AIP0709 1967 3117 1588 AIP0749 1968 3511 1467 AIP0768 1972 3898 1511 AIP0847 1972 4235 1490 AIP0861 1973 4110 1488 GSS 1974 4500 1472 GSS 1975 4457 1548 AIP0931 1976 0 . 4400 1492 GSS 1977 4513 1520 GSS
TEST ESTIMATE CHI PROB Constant 401 plus or minus 0. 0080 142. 001 Linear Trend Weishted Resression Y =-21. 66 + 0. 0112(X) R Souared 8195 I",p roverrlent 116. 001 Fit 25. 002 ------M- - Model: Sisni ficant Linear Component
FEHOME
Do you agree or disagree with this statement? Women should take care of running their homes and leave running the country up to men.
Proportion equals Disagree versus Agree and Not Sure.
Year Proportion Stud\: 1974 6210 1484 GSS 1975 6260 1488 GSS 1977 6027 1528 GSS 1978 0 . 6595 1530 GSS
TEST ESTIMATE CHI PROB Constant 628 plus or minus 0. 0124 11.2 011 Linear Trend Weishted Resression Y =-10. 57 + 0. 0057(X) R Soua red 1717 IIfP'rovement 2.1 0.145 Fit 011 M-'- -.."'OM - -. -.------."..- M" 'OM Model: Not constant, not linear ------. -- -.... -- .- -- -".'-'- -.------.- ---- .--- --.- -- -. ------_.-- .... _. ------..------... .------.------.. ---y - --- =***.-.- -.------.------.- - - --.- - ---. ,.---.' .------.------_.--- --.- ....- -.------..-
54-
FEPOL
Tell me if you agree or disagree with this statement: Most men are better suited emotionally for politics than are most women.
Proportion equa Is Disagree versus Agree and Not Sure.
Year Proportion Stud
1974 4920 752 GSS 1974 5198 1012 SRCOMNIBUS 1975 4830 1488 GSS 1977 4820 1529 GSS 1978 5392 1530 GSS
TEST ESTIMATE CHI SQ PROB
Constant 503 plus or minus 0. 0126 14. o . 006 Linear Trend Weighted Regression Y =-10. 28 + 0. 0055(X) R Saua red 1079 Improvement o . 152 Fit 12. o . 006 Mode 1: Not constant, not linea
FEPOLY
Would you say that most men are better suited for politics than are most women , that men and women are equally suited , or that women are better suited than men in this area?
Proportion equals Men better suited versus Women and men equally suited, Women better suited , and DK.
Year ProF-ortior. Stl.Jd
1974 3260 730 GSS 1974 3873 488 SRCOMN I BUS
TEST ESTIMATE CHI PROB ..0. .- -. ..- ... "0' - -. - -0''-' -., 'M' .0. - "M .- -. "0- ._. "w" ... _. .n. .... 'on ...... -...... - -...... ,.. -- ..N .0- HM . Cons tant 349 plus Dr minus 0. 0273 4. 028 L.:i.neaT' Tr' Weighted Regression ** + O. 1220eX) S(' l.ar' 1 . 0000 I IT? T' ove'M?nt 4. o . 02f3 Fit :L . 000 .on .... NO. -...... - n.. ..n .... -,-. . .,- d.. .-,- ..-. on -.n..', n...... ,...... -...... ," '." no...... n. Model: Significant Linear Trend Fits ------.----.------'------..---- -.- - -..------.--. - ... -- -- .-.-.- ....--- -- ..------...--..--.. - --..- - - .... -:.:::.------.. ------.-
55-
FEPRES
If your party nominated a woman for President , would you vote for her if she were qualified for the job?
Proportion equals Yes versus No and DK.
Year Proportion Stud!:
1937 3253 2871 AIF'066 1945 4930 3067 AIF'0360 1949 4976 1451 AIP0448 1955 5180 1579 AIF'O )43 1958 5378 1506 AIF'0604 1959 5701 1519 AIF'0622 1963 5548 1588 AIF'0676 1967 5701 1505 AIF'0744 1969 5389 1633 fU P077 6 1971 6584 1531 AIP0834 1972 7010 1611 GSS 1974 7780 1479 GSS 1975 7353 1515 AIP09 1975 7790 1486 GSS 1977 7713 152ti GSS 1.978 7944 1532 8SS
TEST ESTIMATE CHI PROB RO'n.'.- M"__------Constant 609 plus or minus 0. 0056 2692. 001 Linear Trend Weishted Resression Y =-19. 23 + 0. 0101 (X) R SQIJared 8531 Imp rovement 2380. 001 Fit 312. 001 _._..M ...... ".,on -. n.. -.. -- .on 'on "H__- .0. Model: Sisni icant Linear Component
FEWORK
Do you approve or disapprove of a married woman earning money in business or industry if she has a husband capable of supporting her?
Proportion equals Approve versus Disapprove and DK. ------....-.------.-- - - ()------_...... -...... ------.:::.:::---:: . - ---
56-
Yea Proportion Stud!: 1938 2074 3042 AIF'0136 1945 2473 1379 AIF'0359t( 1970 6033 1525 AIF'0808 1972 6400 1611 GSS 1974 0 . 6780 1478. GSS 1975 0 . 7000 1485 GSS 1977 0 . 6538 1528 GSS 1978 0 . 7235 1530 GSS
TEST ESTIMATE CHI PI::OB C.::nstant 496 plus OT' minus 0. 0077 3300. 001 inear Trend Weishted Re ression Y =-:24. + O 0129(X) F,: 3D.l.ared (1842 I inP rO' (o?!Tent 3263 .:S .. OO:L Fit :36.j. 5 OO:L .- ,"" UN Model: Sisnificant Linear Component
FINALTERI
During the last few years , has your financial situation been getting better getting worse , or has it stayed the same?
Proportion equals Getting better versus Getting worse , Stayed the same, and DR.
Year F' ropo rt i on Stud!:
1956 3801 1752 ELEC56 1958 3228 1812 ELEC58 1960 3474 1917 ELEC60 1964 4549 1563 ELEC64 1972 4300 1598 GSS 1973 4220 1463 GSS 1974 3940 1478 GSS 1975 3500 1485 GSS 1976 3600 1496 GSS 1977 3819 1524 GSS 1978 4135 1531 GSS ------...------.---.------..------. _.--- - -.,.. --.- -.-._-- --_., -- -...... ------.-...... --..---"-----...... ---.... -...,-;:, '(' - -,- .--.--..--. ------... ------.-.- -. ------:.::( ...-.----.- - .-. _._------...
57-
TEST ESTIMATE CHI SQ F'HOB _N Constant 384 plus or minus 0. 0073 :14. 001 Linear Trend Weighted Regression Y = -2. 79 + 0. 0016(X) R Sauared 0741 Improvement 12. 001 Fit 101. 001 'M' Model: Significant Linear Component
FINALTER2
During the last few years , has your financial situation been getting better , getting worse , or has it stayed the same?
Proportion equals Getting worse versus Getting better , Stayed the same and DK.
Year F'roPoT.tion Stud!: 1956 1844 1752 ELEC56 1958 2296 1812 ELEC58 1960 1857 1917 ELEC60 1964 1472 1563 ELEC64 1972 1800 1598 GSS 1973 1630 1463 GSS 1974 2170 1478 GSS 1975 2810 1485 GSS 1976 2280 1496 1977 2172 1524 GSS 1978 1868 1531 GSS
TEST ESTIMATE CHI F'ROB Constant 197 plus or minus 0. 0060 129. 001 Linear Trend Weighted Regression Y = -2. 01 + 0. 0011 (X) R SalJa red 0752 Imp rovement 011 Fit 122. 001 .-.on -n. -M. M...... -- ... - '_"N - MO' Model: Significant Linear Component ------.------.--....------.-.------.------.. ------...--. .------.------.--'-"-'--.__.------.---- .-..-.- .----.--- - -.(( --..-.--- .. ---
58-
F INRELA I
Compared with American families in general , would you say your family income is far below average , below average , average , above average or far above average?
Proportion equals Far below average and Below average versus Average Above average , and Far above average.
Yeal' Pl'oPol'tion Stud'd _MO""'--- 1972 2560 1599 GSS 1973 2260 1492 GSS 1974 2470 1473 GSS 1975 2810 1478 GSS 1976 2920 1484 GSS 1977 2896 1516 GSS 1978 2699 1523 GSS
TEST ESTIMATE CHI PROB Constant 265 plus or minus 0. 0086 28. 001 Lineal' Tl'end Wei hted Re l'ession Y ::-14. 81 + 0. 0076(X) SGIJal'ed 4619 I RIP l'ovement 12. 001 Fit 15. 010 MR Model: Si ni ficant Lineal' CORlPonent
FINRELA2
Compared with American families in general , would you say your family income is far below average, below average , average , above average or far above average?
Proportion equals Above average and Far above average versus Far below average , Below average , and Average.
Year Proportion Stud'=
1972 O. 1700 1599 GSS 1973 1880 1492 GSS 1974 O. 1930 1473 GSS 1975 1940 1478 GSS 1976 1560 1484 GSS 1977 0.1959 1516 GSS 1978 1976 1523 GSS ------.------.------...... ------. ----.------. '''''-'-...---....- --. -- --.--.----.. -- ,.-...,- ...--'-'-- _. -----..--.-.-...,....--.--.. ..------....- - --. -...---.-._------.,.,.--.,-- --.. --.---.---..------
59-
TEST ESTIMATE CH I PFWB
Cons tar,t 184 plus or minus 0. 0075 16. :1. 013 Linear Trend Weishted Resression Y = -4. 10 + 0. 0022(X) R Sauared o . 0908 Improvement :L 3 o . 259 Fit 14. 011 MO' - - -- - .M'-.- '0"'M' MOO Hade I: Not constant, not linea
GETAHEAD
Some people say that people get ahead by their own hard work; others say that lucky breaks or help from other people are more important. Which do you think is most important?
Proportion equals Hard work most important versus Hard work , luck equally important, Luck most important, and Other.
Yea,' Proportion Stud!:
1973 6580 1478 GSS 1974 6210 1452 GSS 1976 6270 1485 GSS 1977 6075 1526 GSS
TEST ESTIMATE CHI PROB - --..-.- -'-- - HM Constant 629 plus or minus 0. 0125 o . 030 Linear Trend Weishted Resression Y = 19. 64 - 0. 0096(X) R Sauared 6591 Improvement 014 Fit o . 228 - --..-oo- -. --- Model: Sisnificant Linear Trend Fits
GOVAID
Did you ever--because of sickness , unemployment , or any other reason-- receive anything like welfare , unemployment insurance , or other aid from government agencies?
Proportion equals Yes versus No and DK. ------.. --.. ---..------.. ---.... ------.. ----.. -...------..-..----...--.-.-.--.---.-...... ------....---.. --_.. ----.... ------..------.. --.- ----..--- ..------_. - -..------'-'------....------...... ------.....------.. ------..--.. _....---.. ------..-.. ------..------
60-
Year Proportion Stud\:
1973 3340 1503 GSS 1974 3250 1480 GSS 1975 3432 1489 GSS 1976 3458 1498 GSS 1977 3804 1530 GSS 1978 3721 1532 GSS
TEST ESTIMATE CHI PROB Constant 350 plus or minus 0. 0100 15. 008 Linear TT'end Weighted Regression Y =-19. 86 + 0. 0102(X) R S( ua red o . 7821 Imp J' ovement 12. 0: . 001 Fit 504 Model: Significant Linear Trend Fits
GRANBORN
Were all of your four grandparents born in this country?
Proportion equals Yes versus No and DK.
Year Proportion Stud\:
1972 5840 1406 NORC5046 1977 5508 1525 GSS 1978 5526 1529 GSB
TEST ESTIMATE CHI PROB _UH...... _.... -...... "M"".... Cons tant 562 plus or minus 0. 0149 4.1 126 Linear Trend Weighted Regression Y = 11. 77 - 0. 0057 (X) R Scwared 9585 Improvement 044 Fit 677 - '''H''- - Model: Constant ----~~~~~~~~------.------~~~ ------._.... ------:-: .
61-
GRASS
Do you think the use of marijuana should be made legal or not?
Proportion equa I s Should versus Should not and DK. (ea1' Proportion StlJd': 1969 1201 1540 AIP0789 1972 1520 1513 AIF.D846 1973 1572 1508 AIP0863 1973 1830 1501 GSS 1975 2030 1486 G.8S 976 2780 1497 GSS 1977 2801 1521 AIF'0973 1978 2962 1509 GSS 1979 0 . 2500 1514 AIPO TESTESTIMATE CHI PROS :19;-;i: : 7 001 Linear Trend Weighted Re.r ssion Y =-35. 52 + 0. 0181(X) R Saua red 0. 8300 001 FitImprovement . 276.. 48. 001 Model: Si.nifi6ant Lin ar Component
GUN
Have you ever been threatened with a gun , or shot at?
Proportion equals Yes versus No.
Yesr Proportion Stud __n.. 1968 1044 1581 HAf RISV 1973 1640 1502 GSS 1975 1730 1486 GSS 1976 1710 1497 GSB 1978 2031 1531 ---..------.-..-.-.--.-.,------.------"--- - -.-.------._.- -- --..- ---....- -- -.------_.------. ------..---.------.---- -...- --- -.---- ""'-- .------.- -.- - - -.------. - - .(.:::-.:::.; - --.-. . .- - --
62-
TEST ESTIMATE CHI SQ PROB 0_. --, .-. .-.. M.- Cons tant 156 plus or minus 0. 0083 72. 001 Linear Trend Weighted Regression Y =-18. 37 + 0 0094(X) R SGuared 9548 Improvement 69. 001 Fit 534 Model: Significant Linear Trend Fits
GUNLAW
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?
Proportion eq,ua 1 s Favor versus Oppose and DK.
Year Proportion Stl.d 1959 7502 1529 AIP0616 1963 7876 1610 AIP0681 1965 7265 1689 AIP0704 1965 7049 355 AIP07l7 1966 6740 1509 AIP0733 1967 7214 1626 AIP0749 1971 7190 1502 AIP0838 1972 0 . 7156 1540 AIPOBt-:2 1972 0 . 7020 1610 GSS 1973 0 . 7350 1495 GSS 1974 0 . 7530 1477 GSS 1975 7370 1488 GSS 1975 7121 448 SRC 1976 7150 1493 GSS 1976 7257 638 SRC 1977 7160 1528 GSS
TEST ESTIMATE CHI PROB Constant 725 plus or minus 0. 0057 82. 001 Linear Trend Weighted Regression Y = 2. 57 - 0. 0009(X) R SGua red o . 0487 I IftP rovement o . 073 Fit 79. 001 - n-_- - Model: Not constant, not inear ------.------'-- - - -.-.------.- .-- .----._------._------. --.- -. _. -.------.--- -..-.------
63-
HAPMAR
Taking things all together , how would you describe your marriage? Would you say that your marriage is very happy, pretty happy, or not too happy? (asked only if currently married)
Proportion equa Is Very happy versus Pretty happy and Not too happy.
Year Proportion Stud
1973 6780 1072 GSS 1974 6910 1059 GSS 1975 6740 995 GSS 1976 6680 973 GSS 1977 6549 965 GSS 1978 6520 954 GSS
TEST ESTIMATE CHI F'ROB ON'- .... MO. Constant 670 plus or minus 0. 0121 573 Linear Trend Weishted ReSression =: 14. 37 - 0. 0069(X) R Sauared 7923 Improvement 047 Fit 1.1 895 _M .N'_._- - Model: Constant
HAPPy
Taken all together , how would you say things are these days--would you say that you are very happy, pretty happy, or not too happy?
Proportion equals Very happy versus Pretty happy and Not too happy. ------...---....------.------.--.------.:; . ---
64-
Year Proportion StlJd 1957 3467 2452 SRC422 1963 3222 1496 NORC160 1964 3835 1489 SRS630 1964 3711 1967 SRS760 1965 2977 1468 SRS857 1971 2880 2147 SRC811 1972 2180 1056 ELEC72 1972 3030 1606 GSS 1972 2690 1459 NOV C5046 1972 2670 1254 SRCOMN I 1973 3310 719 CNS1 1973 o. ;5280 647 CNS2 1973 3300 642 CNS3 1973 2930 615 CNS4 1973 0 . 3080 639 CNS5 1973 2860 630 CNS6 1973 3230 681 CNS7 1973 2900 696 CNS8 1973 3590 1500 GSS 1974 2310 692 CNS10 1974 2800 610 CNSll 1974 0 . 3280 656 CNS12 1974 0 . 2740 693 CNS9 1974 3790 1480 GSS 1975 0 . 3290 1485 GSS 1975 3180 581 NORC5059 1976 3410 1499 GSS 1976 3610 1313 NORC4239 1976 3100 2207 SRCMH 1976 0 . 2860 1520 SRCOMNI 1977 0 . 3484 1527 GSS 1978 0 . 3434 1517 GSB
TEST ESTIMATE CHI PROB
Constant 317 plus or minus 0. 0047 288 . 001 linear Trend Weishted Resression Y = 3. 0016(X) R SGua red 0312 Imp roven.ent 12. 001 Fit 275. 001 Hodel: SiSni ficant linear Component ------====------.-..------. .... ------.-- ...... , - """'------.- .... --.- - -.-.------.------.---...... -.. - --."..------.:;( --- .. ._-
65-
HEALTH
Would you say your own health , in general , is excellent , good , fair , or poor?
Proportion equals Excellent versus Good , Fair , and Poor.
Year Proportion Stwj!: 1957 0 . 3595 3227 POS397 1964 3594 1970 SRB760 1972 3000 1612 GSS 1973 3190 1500 GSS 1974 0 . 3280 1480 GSB 1975 3240 1489 GSS 1976 3130 1498 GSS 1977 3176 1527 GSB
TEST ESTIMATE CHI PROB -- - -_-N- Constant 332 plus or minus 0. 0079 30. 001 Linear Trend Wei hted Re ression Y = 5. 0025 (X) R Suua red 6898 Improvement 22. 001 Fit 259 Model: Si ni ficant Linear Trend Fits
HELPFUL
Would you say that most of the time people try to be helpful , or that they are mostly just looking out for themselves?
Proportion equals Try to be helpful versus Just look out for themselves Depends , and DK.
Year F' T' OPO T't i cm StU(j!: --'_____H.._.- ..oo......
1964 O. 144 ELFCb4 1966 :)219 127B ELI:::Cbci 1968 jB:l8 1344 EI... EC6B 1972 465:L 219:1 FI... EC7 1972 4650 :I 6 :1. : 1972 4096 :1460 NDI::C 5()46 :L973 0 . 4f.)f:H) :1. )O:I. 1974 O. jOT 24:'jO ELEC74 1975 O. 5620 :l4BB :)S 1976 O. 5:L 181'7 EI... EC76 1976 43:LO :l49B 1978 594() 1:'):0 ------.------"------.- -.------.-.-- ---.------. ------.------_.------.-----.::'::.(( ------..-. ------
66-
TEST ESTIMATE CH I PROB 'OM Constant 504 plus or minus 0. 0071 234. 001 Linear Trend Weighted Regression Y = 2. 43 - 0. 0010(X) R S uared 0107 Improvement 643 Fit 234. 001 M- -
Mode 1: Not constant, not 1 i nea
HIT
Have you ever been punched or beaten by another person?
Proportion equals Yes versus No. Year Proportion Stl,j\:
1968 3435 1607 HARRISV 1973 2750 1503 GSS 1975 3170 1489 GSS 1976 2830 1499 GSS 1978 3510 1530 GSS
TEST ESTIMATE CHI PROB MM - Constant 313 plus or minus 0. 0106 34. 001 Linear Trend WeiShted Regression Y = 2. 30 - 0. 0010(X) R S uared 0088 Improvement 551 Fit 33. 001 Model: Not constant, not linear
HITBEATR
Would you approve of a man punching a stranger who: Was beating up a woman and the. man saw it?
Proportion equals Yes versus No , Not sure , and Not applicable(would not approve of a man punching an adult male stranger--see HITOK). ------""-""'------.--- .... ------.... .-- - -...... ------.--..--'''''''------.------...------.----..--.- - _._...... --.-. -- -.-...... --.------.--.....- -- --.-.....-...... ------....-.-..... -.-.... :; ... -.- -'--.------_. - --. - -.- -.---.- -:.:;-----. -- --. --.--.- -.-.-----.. ----.-
67-
Year Proportion Stud!:
1968 4638 1671 HARRISV 1973 5720 1494 GSS 1975 5790 1488 GSS 1976 5920 1487 GSB 1978 5887 1522 GSS
TEST ESTIMATE CHI PROE! - - .on Constant 557 plus or minus 0. 0113 76. 001 Linear Trend Weishted Resression Y =-25. 64 + 0. 0133(X) R Soua J'ed 8651 I ITIP J'ovement 66. 001 Fit 020 M"'_.- -. -. Model: SiSnificant Linear Component
HITCHILD
Would you approve of a man punching a stranger who had hit the man child after the child accidentally damaged the stranger s car?
Proportion equals Yes versus No , Not sure , and Not applicable(would not approve of a man punching an adust male stranger--see HITOK).
YeST' Pr' c)Portio/" :;tud!:i _..0...... ",,,,,,,,,,,,,,,,, .-. u.. ..n un .... 1968 o . 334 :11.)71 :;l) 1(.i3 3410 :l4(i? :)S 1975 o . 3680 :l4Bt.) 1976 o . 3900 :l4B :;S 1978 401.1. :I :i C:
TEST ESTIMATE CHI SQ F'r n.. "M N'..- ... "M - -...... - -. _.nn__.- Corlstant 365 plus or minus 0. 0110 23. 001 Linear Trend Weishted ResJ'ession Y =-13. 09 + O. 0068(X) R SOIJared 8230 Improvement 18. 001 Fit 256 ...... - P" ___R - -. Model: Sisnificant Linear Trend Fits .-...------.-.-.--.--.----....------.- .... -..- - --.... ------.- ----....------....----..------. ------
68-
HITDRUN
Would you approve of a man punching a stranger who: Was drunk and bumped into the man and his wife on the street?
Proportion equals Yes versus No, Not sure, and Not applicable(would not approve of a man punching an adult male straager--see HITOK).
Year F'ro?ortion StlJd!: 1968 0467 1671 HARRISV 1973 0670 1495 GSS 1975 0520 1488 GSS 1976 0630 1488 GSS 1978 0572 1521 GSS
TEST ESTIMATE CHI F'ROB ------Rn - - - _'0" - - Cons tar.t 056 ?IIJS or ffinlJs 0. 0053 o . 094 Linear Trend Wei hted Re ression Y = -2. 23 + 0. 0012(X) R SalJaJ' 2300 I".? rovelfent 0.114 Fit 138 Model: Constant
HITMRCH
Would you apprQve of a man punching a stranger who: Was in a protest march showing opposition to the other man I s views?
Proportion equals Yes versus No , Not sure , and Not applicable(would not approve of a man punching an adult male stranger--see HITOK).
Y e all' P y' o?c) rt:i (:)n StlJd!: .... "0' -..- Mo' 1968 0:12 1690 HARraSV :lcn3 o . 0:386 iO GSS 19'75 021.5 :1. 486 GBS :l976 o . 0308 149: 19'78 0224 1520 GSS ------.- .------.- -- -.-.- - -- ... -.... - - --....------.------.----.------...... -----..--. ...--- -...... -_.- ---.---..--.- -. - -_.-..-..-- _..------.-.. -.-...... -.._. ---..-.-.-.-...... -...' .. .. -.. -...... -"_._- .., ------. -. .---.--'-' .... -...... _.- -... ::;(.--. .. --.-..--- () -..---.- ---.-.- -.--- --.:::(.(.,:: ....- . .-. ----..-
69-
TEST ESTIM CHI PI: ()H .0.. H" .-. -- .0. M- ..0. .- ..,. '0" .0.. ,M' -...... 'M' "M -...... -. .0. Constant 021 plus or minus 0. 0032 5 ;, .::: . CO:l LineaT' TT' end Wei hted Re ression Y = -3. 29 + O. O()17(X) R S( u,"H' :1 71:4 Improvement :U. 00:1 Fit 19. ? OOi .0...... -"0 ...... 0" _"r.....- _., ,'N 'M' -.- 'M' .0.' ,.- 'M' Model: Si nificant Linear Component
HITOK
Are there any situations that you can imagine in which you would approve of a man punching an adult ma le stranger?
Proportion equals Yes versus No and Not sure.
Yea r Proportion Stud M"""--""- 1968 5124 1653 HAf(f ISV 1973 o . 6530 1504 GSS 1975 6920 1479 GSS 1976 o . 6570 1491 GSS 1978 o . 6299 1524 GSS
TEST ESTIMATE CHI S( PfWB Constant 629 plus or minus 0. 0110 126. 001 Linear Trend Wei hted Re ression Y =-26. 71 + 0. 0138(X) R S uared o . 5806 Improvement 73. 001 Fit 53. 001 -.- fl" 0.'.._- Hodel: Si ni ficant Linear Component
HITROBBR
Would you approve of a man punching a stranger who: Had broken into the man s house?
Proportion equals Yes versus No , Not sure , and Not applicable(would not approve of a man punching an adult male stranger--see HITOK) ====------.- ======------.------..------. ------. ..., - -.------.-.--.- -.------=====------.---....-- - .... - - --_._------.------.------.:: ::------.------
70-
Year Proportion Stl.d
1968 0 . 5081 1671 HARRISV 1973 5740 1503 GSS 1975 6480 1488 GSS 1976 6280 1488 GSS 1978 0 . 5986 1522 GSS
TEST ESTIMATE CHI F'ROB Constar,t 591 plus or minus 0. 0112 78. 001 Linear Trend Weishted Resression Y =-22. 60 + O. 0117(X) R Saua red 6650 Improvement 52. 001 Fit 25. 001 _n _..M ..- M" Model: Sisnificant Linear Component
HOMOSEX
What about sexual relations between two adults of the sex-- do you think it is always wrong, almost always wrong, wrong only sometimes or not wrong at all?
Proportion equals Always wrong versus Almost always wrong, Wrong only sometimes , Not wrong at all , and DK.
Year Proportion Stud 1973 7030 1497 GSS 1974 6700 1484 GSS 1976 6710 1488 GSS 1977 0 . 6859 1522 GSS
TEST ESTIMATE CHI PROB Constant 683 plus or minus 0. 0120 168 Linear Tr' end Weishted Resression Y = 7. 39 - 0. 0034 (X) S(, 'Ja red 1522 Imp rove",ent o . 628 Fit 0.119 Model: Constant ------.-.----.------.--.------.------.- .... - -.-.. --.... --.... .-.. -.-.- -- - .------""""''''-''''''....----...... -..- -.- -. - -..-.------_..-( - ...------.---
-71-
HOMPOP
Number of household members.
Proportion equa Is four to sixteen versus one to three.
Yea l' Proportion Stud!J 1972 4380 1613 GSS 1973 4180 1503 GSS 1974 4100 1482 GSS 1975 o . 3685 1490 GSS 1976 3490 1497 GSS 1977 3340 1530 GSS 1978 3316 1:'i32 GSS
TEST ESTIMATE CHI Sl PIiOB _. 0- .-. 'ON 'M' Constant 377 plus or minus 0. 0094 74. Linea l' Trend 001 Wei hted Re ression == 38. 90 - 0. 0195(X) R SQIJared 9546 IITIF'rovement 70. 001 Fit o . 652 -_. __0..- - -. .-...... - -- -0..- .... -.- '0., -.- .... 'M' -. "M ..".- Model: Si nificant Linear Trend Fits
HONEST
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUDGMENT , CONTROL , ROLE AMICABLE , OBEYS , RESPONSI , CONS IDER , INTEREST , and STUDIOUS) are collec ted under QUALITIES OF CHILDREN which appears alphabetically.
HRS IA
How many hours did you work last week , at all jobs? (asked only of those working full or part time)
Proportion equals 0 to 39 hours versus 40 or more hours.
Year ProPortion StlJd!J
1973 0 . 3052 783 GGS 1974 2630 741 GSS 1975 3140 764 GSB 1976 3030 747 (388 1977 0 + 2566 877 GSS 1978 2819 855 GSS ------.------. ------.------.------.-- -.----.- - -... ------.---.. ..----....- --.------....--.------.------... ------.------. ------_._. ------
72-
TEST ESTIMATE CHI SQ F'ROB Cons tant 286 plus or minus 0. 0131 11.2 046 Lirlear Trend Weishted Resression :: 9. 16 - 0. 0045(X) R Sauared 1087 Iff'p rovelfent 244 Fit 041 Model: Not constant, not linear
HRSIB
How many hours did you work last week , at all jobs? (asked only of those working full or part time)
Proportion equals 40 to 49 hours versus less than 40 and more than 49 hours.
Year Proportion StlJd': 1973 5100 783 8SS 1974 5720 741 8SS 1975 0 . 5250 764 GSB 1976 5310 747 8SS 1977 0 . 5701 877 8SS 1978 5240 855 8SS
TEST ESTIMATE CHI F'ROB Cons tant 539 plus or minus 0. 0144 11.0 051 Linear Trend Weishted ReSression Y :: -3. 78 + 0. 0022 (X) R Sa'Ja red 0208 I IfP rovelfent 609 Fit 10. o . 030 Model: Constant
HRSIC
How many hours did you work last week , at all jobs? (asked only of those working full or part time)
Proportion equals 50 or more hours versus 0 to 49 hours. ------.------.------.- - -.- --.- -.--.- --- .-.- - --.------.- --.-- -.-....-----.....--...... --.------.---. ..-.-- .--.- -- .-.--- -.- -.------. -.-.------(--.-.------.------
-73-
Year Proportion stlJj!:
1973 o. 1850 783 GSS 1974 O. 1650 741 GSS 1975 1610 764 GSS 1976 1660 747 GSS 1977 0.1733 877 GSS 1978 O. 1942 855 GSS
TEST ESTIMATE CHI PROD
Constant 174 plus or minus 0. 0110 o . 530 Linear Trend Weishted ReSression Y = -4. 26 + 0. 0022 (X) R SGuared 0973 Imp rovelflent o . 504 Fit 392 Model: Constant
HUNT
Do you (or does your (husband/wife)) go hunting?
Proportion equals Yes versus No.
Year Proportion Stud!: 1959 3719 1530 AIP0616 1965 3580 1679 AIP0704 1966 3729 1491 AIP0735 1977 2921 1527 GSS
TEST ESTIMATE CHI sa PROD OM..... ""n" Cons tant 347 plus or minus 0. 0120 31. 001 Linear Trend WeiShted ReSression Y = 9. 72 - 0. 0048(X) R SGua red 8471 Improvement 27.1 001 Fit 108 ....._.,., -. __'M' - -- Model: SiSnificant Linear Trend Fits ------....-----.------.------.------'------...... -., ---,. '.. --'-'.'_..- .-..- -- -. ....------....--..------..-....-.- -..-- _.------... ------:- --- . ---- .--
74-
IMAGES OF COUNTRIES
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 scale or how far down the scale would you rate the following countries?
BRAZILl
Proportion equals +5, +4, and +3 versus +2 through -
Year ProPoT'tion Stud': 1972 2914 1342 AIF'0852 1974 3770 1271 GSS 1975 3030 1277 GSS 1976 2526 1358 AIF'0954 1977 2874 1322 GSS
TEST ESTIMATE CH I F'ROB ----.. - -. ..-__N .M.'N. ...,.. ..., M"_'- ... Constant 299 plus or minus 0. 0112 49. 001 Linear Trend Weighted Regression Y :: 15. 97 - O. 0079(X) SGIJa red 1185 Improvement ). 6 017 Fit 44.1 001 ---. .-- '_'N' Model: Significant Linear COITPonent
BRAZIL2
Proportion equals -3, -4, and - 5 versus +5 through -
Year Proportion Stud': ___'__0___'_'-' 1972 1222 1342 AIP0852 1974 0640 1271 GSS 1975 0850 1277 GSS 1976 0817 1358 AIP0954 1977 0.1301 1322 GSS ------::::::::::=:=------.-- _. ------.------...... -. ------.------.... --- .... ------''''''''-''-'''''''''-''''''''''''''... --.... , ....----- ...... ------.-.---:::: ---- - ....-. --.-.-...... -.--...... ------.------) '? --- -. - -.--- _.------...... , .....-....:) ...-..- ...------::!""""""""""""'-"""""""""""""'"..... --;, ;! ..--...- . ------:. . \.------.- -:.:::--- ..---..,. - ---.--.
75-
IMAGES OF COUNTRIES, continued
TEST ESTIMATE CHI sa PI:WB -.-.-. - - ..,-on Cons tant 091 plus or minus 0. 0071 47. 001 Linear Trend Weishted Resression Y = -1. 49 + 0. 0008 (X) R Sauared 0013 IITProvelTlent ""2. 1 . 000 Fit 50. 001 ... -- .__.on -...- 'N' - -. _._.- 'M' ....n. ..-- -."" Model: Not constant, not linear
CANADA 1
Proportion equals +5, +4 , and +3 versus +2 through -
YE''aT' Proportion :;tulj' nO. .n. no, ...... - .... n.. .n. 19b6 O. '7666 3273 (1 I F' 0 7 :3 B 1972 O. f:245 :14:59 IF'DD:: 5:? :L 97:3 13:1, 9:' :1424 (:) I F'ODl)S 1974 !H50 :1.426 l:. 197:'; !HOO :14:16 C1 197b O. B440 :1442 f':) I F' (j ,? ; 4 1977 BO)) :L 43\ I..
TEE;T EbTli"(\ CliI ::::. F:UB 'N' .... .- .0' . . ..,. ..- ..., .0...... - ...... CDnstant O. S07 plus or minus () -:. () I )O . , 00:1 Li f't';aT' Trenci Weishted ReSression (? (0 .iB + () " ()(1:::;3 ( :; ) S(:!ua T' 4B:3EJ I rrlP T'CJ V(, IT! c- n t. I::' OO:i Fi t :I 7 ,\ iJ (i 004 "M - RM,'M ...... - - MM 'M...... -. M" .... 'M' - MM 'M'.... _u -...... 'M' ...... "" .... -.- Model: bisnificant Linear Component
CANADA 2
Proportion equals - , and - 5 versus +5 through - ---...... -...... ------.. - -.------.- - _._------.- -.------_.--.- - ....- - .....------...------.--..-.------..- - _..------.-... -- .-.---. ------.-- -.-.-- -.---..---.- ..- ..- - --.- .--...-..---- -'------. .- --. ---...... -.---- - ..------"-- - ..- --....--- -. ...,. ....------...... -- ...... -.. ------...... --.....----.-..- .-. -....--- .---. .-. ..,. ..- - .... - ..- -.-. _.------'-----.... -..., -. ..- -.- ..-,:;(------. ....---..- ....- -..- ...,.--- ..---
76-
IMAGES OF COUNTRIES , continued
Year Proportion Stud 1966 0137 3273 AIF'0738 1972 0158 1459 AIP0852 1973 0176 1424 AIP0868 1974 0220 1426 GSS 1975 0160 1416 GSS 1976 0118 1442 AIP0954 1977 0195 1436 GSS
TEST ESTIl1ATE CHI sa F'ROB -..-.-.- - -. 00- ,... 'H' Constant 016 plus or minus 0. 0023 o . 338 Linear TT'end Wei hted Regression Y = -0. 56 + 0. 0003 (X) R SQIJared 0869 Improven,ent o . 526 Fit o . 279 -. _0' Model: Constant
CHINA 1
Proportion equals +5 , +4 , and +3 versus +2 through -
Ye, P ropo y,t ion Stl Jd\ ''''''''''''''''''''_00'''''__-....0...... o . (M66 117:1 IPD j;3"7 1973 2:BO 1:394 IPD86B 1 (97 4 O. :I :::;00 1389 Gf;S 1975 O. 1360 1369 1977 140:1. 1;392 Gf:)S
TEST EGTIMATE CH I S(1 ()f. - .- MOO - .- -0- ,-,. -- ..- _to ...... -...... - _...... _. Ccmstant 130 plus or minus 0. 0081 :1.64. 001 L. i "J I' T T' WeiShted ReSression Y = -8. 16 + 0. 0042CX) SCHJaT' o . 42(96 I 1lF" T'OV( lTent (94. 001 Fit 70. 001 . Ma .,.. ..,. ..- M" ..- ..M ... "n .... -.. .-...... - ..n 'N' Model: Si.nificant L.inear Component ------.....------..,. ...'-- - .--- -... ------... ------.- ....------.------....--...... -....- .--...... ()- - ""-"""'"''''''''''-'''''----.---. ------.------..------.- --. -- --.-.- .... -..,-:/. -,.--.---.-- ....-. ,... - - -.. -.... --- ....-.-..- .... --,... - -.... -....---, --- -..-.- . ...-...... "',...... - ..-.-.--.... -....-.....-...... -..--. -.... -.- .... -...-- j)....- -...... -. -...-...... - -.....- .... -..-- .:::':::...... (:.;::(':::- ....--- - . ..- +. - -...... -.-..-
77-
IMAGES OF COUNTRIES, continued
CHINA2
Proportion equals - 3, - , and - 5 versus +5 through -
YeaT' F'r(JPO rt i :;tuci!:1
1954 o . 6B92 :1:171 J F'D 5:. 1973 3030 394 AIF'DB68 1974 o + :3 540 :1389 Ci::; 19n) o . :: :'i :I3f19 OS::; 1977 o . :3484 :1. 3(12 OSE!
TEST ESTIMATE CHI E;i: - - -. 0.. _0' .M'...... ,.- ...... , ...... ,...... ,-, .... ,...... 00. "...... ,. i. .0- -., ...... M ...... w. h...... Cnn!:;tant 398 plus or minus 0. 0115 74 (o 00:1 Lint ar Trend Weighted Regression Y = 32 + 65 - 0. 01 fl4 ( X ) uarer:f 9301 IlTlProvelTient e. 2 OO:L Fit )():I _n - n...- _.. ..- -0"- '0- .-. 'N' ..- ...... 'M' .,.. -- -.. -. .-. 'N' "...... Modell Si.nificant Linear Component
EGYPT 1
Proportion equals +5 , +4 , and +3 versus +2 through - Year Proportion Stud! ..oo - -.OO'-' -. _._n...... 1956 0 + 1209 1150 AIF'0576 1966 :L710 2899 fH P0738 1973 1608 1331 t\IP086f: 1974 0 . 2040 1357 (:-BS 1975 1510 1341 GSS 1976 1574 1372 AIP0954 1977 2106 1344 GSS
TEST ESTIMATE CHI SQ PI::OB .... n_.- Constant 166 plus OJ' minlJs 0. 007' 54. :I 001 Linear Trend Weighted Regression Y :: ..-4. 48 + 0024(X) SQ'Ja red 4300 Improvement 20. 001 Fit 53 . 4 001 M" ...... 'M' .... 'n' - - -N .n. .M..- ...... - ..n ..-.- -. - Model: Significant Linear Component -....------.,...... ------.... ------....---.----....------:::j ------... ------..------..--- _.- - - --_..- -.- -- --....--...... -...... ------.-...--- -.------.------.------::)------.:; :: --- . - --
78-
IMAGES OF COUNTRIES, continued
EGYPT 2
Proportion equals -3, - 4, and - 5 versus +5 through -
Year Proportion stlJd!: 1956 3009 1150 AIF'0576 1966 0.1570 2899 AIF'0738 1973 2953 :L331 AIP0868 1974 2350 1357 GSS 1975 2460 1341 GSS 1976 O. 1786 1372 AIF'0954 1977 1577 1344 GSS
TEST ESTIMATE CH I F'ROD Constant 203 plus or minus 0. 0077 200. 001 Linear Trend WeiShted ReSression Y = 2. 75 - 0. 0013(X) R SQIJared 1815 I IJP rovement "-27. 000 Fit 228. 001 Model: Not constant, not inear
ENG LAND 1
Proportion equals +5, +4 , and +3 versus +2 through -
F' 1'(;1 !" 0 y,t i CJn Stud ...... H" .... '....n......
19:7j1 0 . 360(f :I. I:' I PCJ4B;'3TPS 1953 4701. 1. 3;' 1:)IPCJ j2:L 1954 O. 4B(fO 1.4::)::' f) I F' D 5 : 1954 4260 1. ;. 8;: f;j I PD j3B 1951.) 49/'B L384 I F'D .''7 6 1 S)66 0 . ::i (? 328:' IPD7 '.B 19/'2 O. /'084 J.430 IPDB:)2 1973 6::)2:L ;1.394 f)J:PDB6B 19"74 1.)360 1419 Gf:)S 197:' 0 . 6090 :L 400 GSS 1.9"76 686:L 1424 AIP()9 19"7/' l.d;3:L 1406 GSS ----...... --.-. - - -.--- -- .-- -- ..-.--- --.. -.. '."-.... --- ..- --- -. -...-- - -...-.- --...-- --.....- -- .-...... -...... --.-- ._...... - () - ,- --.------.... ------.... ------... ..,-- ""'-''''''''...... ,.,..",.------..-...-....-';) ------? ()------'::'::: .
79-
IMAGES OF COUNIES , continued
TEST FSTIM CHI SQ - NO.MO' - _N ..- ,-" -'0' ...... -. "0' ..., ... 'N' ...... - -., oM...', "0' .,.. "0- '0" ..0. 0'" ..- .... .M. " - ".., ..0. 0.' ..', ".. ..- .-...... 0.. N', "0'.... .0- ... ..0. .N...... - Constant 575 pI us or minus OOl2 /'36 + .::: + 001 LineaT' TT' EH"d Wei hted Re.ression -18+ 0l + O+ 0095(X) SW..ared 0+ iBB6 Imp rovement i + .::: + 001 FH. 130 + 6 001 -. N.. -...... - ...... 0. .- -.0. M'.-.. .0., ... 0'- .0.. "0- .-. "0' '.., .... ",- -'.' -. -.. ,.- .0.. ..0. .... '0'" .. -,.- '"' "0' ...' 'N' .... .-.. '0" .0.. Model: Si nificant Linear Component
ENGLAND 2
Proportion equals - , and - 5 versus +2 through -
YeaT' P rOF'O T't i '::;tud\:i ...... n ...... - ...... " .,- no. ,n. .00.
1951 0+ :L 1()()3 I F'CJ4B3TF' /53 :1136 133B IF'D i2:1 1954 :1290 14: i::: :1 I F' D ; ::s ! 14"70 :1::;1:3 f;1 I F'D 53f) 1956 :L402 1304 (-;1 I F' 0 ! 1966 0+ Ob:3t.i 5 : IP07::sB 19"72 0:196 1430 '; I POD 19"73 0402 :s(/4 (:;iIPDD60 19"74 O. O!S: 14:19 GSS 19"75 () . 049() J 400 :)G 19"76 0351 :1. :.4 l:) IF' Ci ,? i 4 19"77 0434 :l4()() Uhf;
TEST ESTII'iATE CH J ::;0 - - MOO -- ..., ..- .... -- .... -. M'...... - ...... -0' ...... "M ...... , ...... - h., ...... "",,'..n...n.....
Constant 056 plus or minus 0. 0034 5 :: : J v .::: + 001 L i n a r T T' f?nej Wei hted Re ression :::: 9+ ,.., o. () ( :x: ) !3(. ua rf. 0+ B790 J:mprOVelTf ;?3 V ,::: + 001 Fit 1 ::? f) , + 00:1 .-. .... ,.- ...... 0. . '...... 0. .... ,-,...... ,.. -... "...... ".' ". ' '0', ...... n...... h. Model: Si.nific nt Linear Component ------. ------.------.------.-.--.....-.---.------.------..- ---, ------_. - -.------.------. -- -..- .....--- - _..-- - - -..- -..-.------....--..-....------..--..-- --..- -- -.-- --.-. ------.------..--- .(-:- -- .--..... - -.- -.---
80-
IMAGES OF COUNTRIES , continued
ISRAELI
Proportion equals +S , +4, and +3 versus +2 through -
Year Proportion Stl.Jd\: 1956 2920 1147 AIF'0576 1966 0 . 6050 2937 AIP0738 1974 4140 :l377 GSS 1975 3470 1365 GSS 1976 3569 1398 AIP0954 1977 0 . 3899 1372 GSS 1978 5197 1368 NORC4269
TEST ESTIMATE CH I PROB _OM. - Constant 443 plus or minus 0. 0092 603. 1 001 Linea,' Trer.d Wei hted Re ression :: 2 . .- 0. 0011 (X) R SGuared o . 0299 Improvement ,..,27. 1 . 000 Fit 630. 2 001 ft.. -- Model: Not constant, not linear
ISRAEL2
Proportion equals - , and -S versus ' +S through -
Year Pr(JPortion Shld 1956 O. 1264 1147 AIP0576 1966 0678 2937 AIP0738 1974 1370 1365 GSS- 1975 1470 1365 GSS 1976 1130 1398 AIP0954 1977 1268 1372 GSS 1978 0746 1368 NORC4269 ------.------.------, ------.... -- - --. - ----_.-- - - - ....- -.-..- --.--- .....- - - - - ....-.-""'--. .". - - -...-.-.-..---""--'---....-.... .-.." ... ""---.--.- - "".-.------.:::-:.:;- --. ------.-.------
81-
\GES OF COUNTRIES , continued
TEST ESTIMATE CHI sa F'ROB "M Constant O. 098 s or min s 0. 0056 118. 001 Linear Trend Weighted Regression Y = -2. 62 + 0. 0014(X) R Sal.Jared 0010 Improvement n"19. 1 . 000 Fit 138. 001 .... "M' ...... Model: Not constant, not linear
JAPAN I
Proportion equals +5, +4, and +3 versus +2 through -
Year Proportion Stud': 1966 5889 3257 AIP0738 1972 3855 1445 AIP0852 1973 4321 1400 AIP0868 1974 4080 1406 GSS 1975 3580 1388 GSS 1976 4524 1430 AIF'0954 1977 3502 1399 GSS
TEST ESTIMATE CHI sa F'ROB ..- M" ...- .... .OM-- _. 'M' Cons tant 449 plus or minus 0. 0090 409. 001 Linear Trend Weighted Regression Y = 40. 68 - 0. 0204(X) R Sa ared 6922 Improvement 333. 001 Fit "75. 001 .... M" -- -. - N', .. ... M- .-. .... "R -....- .'N- M__'- 'N' Model: Signi icant Linear Component
JAPAN2
Proportion equals - 4, and - 5 versus +5 through ------.. - --- =::=====::::::------..-...------()- . ------'------.------'- - _._.-- - -...--.- ---.-. - - -- -. -...,-----...... -.------_.------..-- --_. - ... ------: - -.------
82-
IMAGES OF COUNTRIES , continued
Year Proportion StlJd 1966 1296 3257 AIP0738 1972 1495 1445 AIP0852 1973 0.1107 1400 AIPOB6B 1974 1440 1406 GSS 1975 0.1550 1388 GSS 1976 0951 1430 AIP0954 1977 O. 1730 1399 GSS
TEST ESTIMATE CHI f'ROB
Cons tant 132 plus or minus 0. 0062 56. 001 Linear Trend Weishted Resression Y = -1. 20 + 0. 0007(X) R Saua red 0299 Improvement ,-,1. 1 . 000 Fit 57. 001 Model: Not constant, not linear
RUSSIA I
Proportion equals +5, +4 , and +3 versus +2 through -
Year Proportion Stud 1953 0094 1377 AIP0521 1954 0165 1518 Alf'0535 1954 0 . 0046 1311 AIP0537 1956 (). 0189 1425 AIP0576 1966 1656 3273 AIP0738 1972 O. 1887 1447 AIP0852 1973 1566 1392 AIP0868 1973 (). 1932 1387 AIP0874 1974 1910 1411 GSS 1975 1870 1386 GSS 1976 0803 1444 AIP0954 1977 1237 1415 GSS ------_.------.------.:::---.::-: - -- - -. . ------
83-
IMAGES OF COUNTRIES, continued
TEST ESTIMATE CHI sa F'ROB Cons tant 030 plus or minus 0. 0024 1979. 001 Linear Trend Wei hted Re ression Y =-14. 96 + 0. 0077(X) R SGuared o . 6990 I niP rovement 577. 001 Fit 402. 001 Model: Si nificant Linear Component
RUSSIA2
Proportion equals and versus +5 through
Year Proportion StlJd 1953 8845 1377 AIF'0521 1954 8748 1518 AIF'0535 1954 9108 1311 AIP0537 1956 8639 1425 AIP0576 1966 6343 3273 AIP0738 1972 4312 1447 IF'0852 1973 4037 1392 AIP0868 1973 O. : 970 1387 AIP0874 1974 3560 1411 GSS 1?75 3610 1386 GSS 1976 5810 1444 AIP0954 1977 4749 1415 GSS
TEST ESTIMATE CHI PROB -- _a Constant 675 plus OT' minus 0. 0060 5720. 001 Linear TT'end Wei hted Re ression Y = 45. 54 - 0. 0229(X) R SGuared 8536 Improvement 5151. 001 Fi t, 568. 001 M- Model: Si nificant Linear Component ------..------.------..------'.-.-- - ....-.. -.------.---..----'--"- .--- -- ..,.---.------
84-
INCOMl6A
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?
Proportion equals Far below average and Below average versus Average, Above average, and Far above average.
Year F' ropo rt i on Stud\:
1972 3140 1591 GSS 1973 2740 1476 GSS 1974 3200 1473 GSS 1975 3230 1475 GSS 1976 3440 1481 GSS 1977 3242 1527 GSS 1978 3191 1517 GSS
TEST ESTIMATE CHI PROB - -. -M__- - M__- - Constant 316 plus or minus 0. 0091 19. o . 004 Linear Trend Weishted Resression =: -9. 59 + 0. 0050(X) R SGuared o . 2585 Improvement o . 024 Fit 14. 014 Model; S1sni ficant Linear Component
INCOM16B
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?
Proportion equals Above average and Far above average versus Far below average, Below average, and Average.
Year ProPortion Stl.Jd\:
1972 0.1170 1591 GSS 1973 0.1450 1476 GSS 1974 O. 1480 1473 GSS 1975 1460 1475 GSS 1976 1410 1481 GSS 1977 1506 1527 GSS 1978 1345 1517 GSS ------....------_.------..--_.- - - --_.--- -...... -.- -...... -- ...- ..---..- ----.--- -..--..._. -.-.. - -.--- -- _...... - - -.------.-.".-.....- --. --'- ...... - --....-.- --.----.- -.- - -.------:.::: ------.. - ---. - --.-- -.---
85-
TEST ESTIMATE CHI SQ F'ROB
Cor.stant 139 plus or minus 0. 0067 11.3 o . 078 Linear Trend Weishted Resression Y = -4. 61 + 0. 0024(X) R S 'Ja red O. 1438 Improvement 146 Fit 098 - - - n" Model: Constant
INCOME I
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.
Proportion equals less than $1 000 to $7 999 versus $8, 000 and over.
Yea r F' ropo rt i Stud!: .... -.. ..n n.' ..- 1972 4120 1474 GSS 1973 0 . 3750 1396 GSS 1974 3610 1357 1975 3490 140c, GSB 1976 3500 1:394 (3SS 1977 2847 1390 GBB 1978 2933 1432 GBB
TEST ESTIMATE CHI F'ROB Constant 344 plus or minus 0. 0095 77. 001 Linear Trend Weighted Regression Y = 39. 25 - 0. 0197(X) R S ua red 8942 Improvement 69. 001 Fit 148 - M" ..-.-M" ,.--M" - M" Model: Significant Linear Trend Fits
INCOME2
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.
Proportion equals $15, 000 and over versus less than $1 000 to $14 999. ------.------.,..------..- -- ....-. ------.-.... - _. -. -- ---.. -.. ------.:; . ----
86-
Year Proportion Stud !:
1972 2020 1474 GSB 1973 0 . 2660 1396 GSB 1974 3160 1357 GSB 1975 3110 1407 GBB 1976 0 . 3450 1394 GSB 1977 4278 1398 GSB 1978 0 . 4399 1432 GSS
TEST ESTIMATE CH I SL PROB
Constant 318 plus or minus 0 0092 302. 0: . 001 Linear Trend Weighted Regression Y =-75. 65 + 0. 0385(X) SGIJa red 9465 Improvement 287. 001 Fit 14. 011 Model: Significant Linear Component
INDUSTRY
Respondent' s industry. (coded from the following questions: What kind of place (do/did) you work for? and What (do/did) they (make/do)?)
Proportion equals tertiary versus primary and secondary.
Year Proportior. Stud!:
1972 6366 1420 GSS 1973 6450 1338 GSS 1974 6399 1344 GSS 1975 6520 1344 GSS 1976 6350 1352 GSS 1977 6257 1416 GSS 1978 6496 1404 GSS ------.- .-.-.--.- .--.-..- -. - -.-- - - .-....-.- -- - -.------.- --..------
87-
TEST ESTIMATE CH I Sll F'ROB -- - - __0- Constant 0. 641 plus or minus 0. 0098 810 Linear Trend Weishted Resression Y = 0. 88 - O. OOOl(X) R Sauared 0. 0015 IIIProvemer.t 959 Fit 703 M- ... Hode I: Constant
INTEREST
This mnemonic along with all those that deal with desirable children I qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE , OBEYS , RESPONSI , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
ISRAELI , ISRAEL2
These mnemonics along with all those that deal with views on countries (RUSSIA 1 , RUSSIA2 , JAPAN 1 , JAPAN2 , ENGLAND 1 , ENGLAND2 , CANADA 1 , CANADA2 BRAZILl , BRAZIL2 , CHINA I , CHINA2 , ISRAELI , ISRAEL2 , EGYPT 1 , EGYPT2) are collected under IMAGES OF COUNTRIES which appears alphabetically.
JAPANI , JAPAN2
These mnemonics along with all those that deal with views on countries (RUSSIA I , RUSSIA2 , JAPAN 1 , JAPAN2 , ENGLAND I , ENGLAND2 , CANADA I , CANADA2 BRAZILl , BRAZIL2 , CHINA I , CHINA2 , ISRAELI , ISRAEL2 , EGYPTl , EGYPT2) are collected under IMAGES OF COUNTRIES which appears alphabetically.
JOB CHARACTERISTICS
Would you please look at this card and tell me which one thing on this list you would most prefer in a job? Which comes next?
Which is third most important?
Which is fourth most important? ------.--..__, ------.. - --. ------..------.------.... ------....------.... ------.------.. ------.. .------.-.. - -.------..------.--. - .-.------..- -- -..- ----'-'-..------....-----..--..--.- - --. ------.... ------.------
88-
JOB CHARACTERISTICS , continued
JOBHOUR
Working hours are short , lots of free time.
Proportion equals top two versus third through fifth.
Year PI' oF-ortion Stud!:
1973 1480 1497 GSS 1974 O. 1630 1454 GSS 1976 O. 1320 1449 GSS 1977 1230 1480 GSS
TEST ESTIMATE CHI sa f'ROB
Cons tant 140 Flus or minus 0. 0090 11.2 011 Linear Trend Weishted Resression Y = 16. 05 - 0. 0081 (X) R SalJa red 7004 IITFT' OVelnent O. 005 Fit 207 Model: Sisnificant Linear Trend Fits
JOBINC
High income.
Proportion equa I s top two versus third through fifth.
Year ProF-ortion Stud!:
1973 4240 1497 GSS 1974 3920 1454 GSS 1976 4290 1449 GSS 1977 4500 1480 GSS
TEST ESTIMATE CH I PROB ..- - M"'- --.-.- 'M' Constant 424 F-Ius or minus 0. 0129 10. 015 Linear Trend Weishted Resression Y =-17. 07 + 0. 0089(X) R Sauared 4593 I /TIP rovement 028 Fit o . 056 Model: Sisni ficant Linear Trend Fits ------.------"------. --- --'=. -- -' ------,------''' -- -"" ----- ,=------... -.....-.------=------.--..------. -.- .....-- ---..------.-. .--.-- -...,- -'----.".....- - -.,- --...------...... ------...... ------.-.--- - - ._------... -...------.---....--- - -.---.- --.------..------.- --
89-
JOB CHARACTERISTICS, continued
JOBMEANS
Work important and gives a feeling of accomplishment.
Proportion equals top two versus third through fifth.
Year Proportion GtlJd
1973 6740 1497 GGS 1974 o . 7020 1454 GSS 1976 6730 1449 GGS 1977 o . 6635 1480 GSS
TEST ESTIMATE CH I F'ROB -.- - -. M"'- - - - -"- _M - 'M. Cons tant 678 plus or minus 0. 0122 128 Linear Trend Weighted Regression Y :: 10. 57 - 0. 0050eX) R SalJared o . 3020 Improvement 1. 7 0.191 Fit 135 n_____- Model: Constant
.JOBPROMO
Chances for advancement.
Proportion equals top two versus third through fifth.
Year Proportion Study
1973 5320 1497 GSS 1974 5570 1454 GSS 1976 5420 1449 GSS 1977 5426 1480 GSS
TEST ESTIMATE CHI sa F'ROB R" Constant 543 plus or minus 0. 0130 1.9 o . 600 Linear Trend Weighted Regression Y :: -0. 74 + 0. 0007 (X) R Sl1uared 0119 I IfIP rovement o. () o . 868 Fit 603 M.. - -.--..- - __'_R ------.- - __"M Model: Constant ------.------....------.--- ..-----..---.-.------.. ------.. ------.-.. ------.. -'----_.. --.- -. ---.----.-.- ---.-- -- -.-. ------.---- .--.....-.... - - ---.------.. -.. ------.------._---.. ------.--
90-
JOB CHARACTERISTICS , continued
JOBSEC
No danger of being fired.
Proportion equals top two versus third through fifth.
Year Proportion Stud
1973 2100 1497 GSS 1974 1860 1454 GSS 1976 o . 2240 1449 GSS 1977 2209 1480 GSS
TEST EST I MA TE CHI SQ F'ROB Corlstant 209 plus or minus 0. 0106 041 Linear Trend Weighted Resression Y =-11. 76 + 0. 0061(X) R Sauared 4023 Improvement 069 Fit o . 082 - -. ".'M' - - R___- - ...- .R' Model: Not constant; can t decide model
JOBFIND
About how easy would it be for you to find a job with another employer with approximately the same income and fringe benefits you now have? Would you say very ea sy, somewha t ea sy, or not ea sy a t a Ii? (asked of all respondents in the labor force)
Proportion equals Very easy versus Somewhat easy and Not easy at all.
Year Proportion StlJd 1977 2705 891 GSS 1978 2831 869 GSS
TEST ESTIMATE CHI F'ROB
Constant 277 plus or minus 0. 0213 O. 562 Linear Trend Weishted ReSression Y =-24. 64 + 0. 0126(X) R Sauared 1 . 0000 Improvement, o . 562 Fit 1 . 000 -- - MO. Model: Constant ------.._--::' ------; . - - - .------.___- ----'- ---.------.- --.:::------. ----
91-
JOBFINDI
About how easy would it be for you to find a job with another employer with approximately the same income and fringe benefits you now have? Would you say very easy, somewhat easy, or not easy at all? (asked of all respondents working 20 or more hours per week)
Proportion equals Very easy versus Somewhat easy and Not easy at all. Year Y'o?ortion St/Jd
1970 0 . 4020 1301 SF(CQEMF' ' ,","Z w 2700 1887 SRCQEMF' 'i 2684 801 GSS 1977 0 . 2240 2254 SHCQEi,P 1978 2786 779 GSS
TEST ESTIMATE CHI F'ROB
C cm s t.:m t 274 plus or minus 0. 0106 121. 001 Linear Ti"f?nd Weighted Resression == 33. 62 - O. 0169(X) 8aua red o . 64.!16 I m ::.'T' C) \.! (': !YI( n t 71.2 .::: . () 0 I 1. l.. ':: . 0 () 1 -- '--____'_M '_____M_--- - Model: Si nificant Linear Component
JOBHOUR , JOBINC
These mnemonics along with all those that deal with characterists of jobs (JOBINC , JOBSEC , JOBHOUR , JOBPROMO , and JOBMEANS) are collected under JOB CHARACTERISTICS which appears alphabetically.
JOBLOSE
Thinking about the next 12 months , how likely do you think it is that you will lose your job or be , laid off--very likely, fairly likely, not too likely, or not at all likely? (asked of all respondents in the labor force)
Proportion equals Very likely and Fairly likely versus Not too likely and Not at all likely. ----.------.------.------.------.------. ....- - --.------.------'------_..(-:-- - -.------
92-
Year Proportion St'.Jd!: 1975 1434 1004 AIP0922 1976 1189 841 AIF'0960 1977 0998 912 GSS 1978 0784 880 GSS
TEST ESTIMATE CHI F'ROB 'N' - - - - "M - - - - Constant 106 plus or minus 0. 0102 22. 001 Linear Trend WeiShted Resression Y = 42. 34 - 0. 0214(X) R SQuared 9977 Ilfproven,ent 22. 001 Fit 979 Model: SiSnificant Linear Trend Fits
JOBMEANS , JOBPROMO , JOBSEC
These mnemonics along with all those that deal with characterists of jobs (JOBINC , JOBSEC , JOBHOUR , JOB PROMO , and JOBMEANS) are collected under JOB CHARACTERISTICS which appears alphabetically.
JUDGMENT
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUDGMENT , CONTROL , ROLE AMICABLE , OBEYS , RES PONS I , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears a Iphabetica lly.
LETDIEI
When a person has a disease that cannot be cured , do you think doctors should be allowed by law to end the patient I s life by some painless means if the patient and his family request it?
Proportion equals Yes versus No and DK. ------...... ------..------....------.. ------.... -- - - .------. - -. ------.------.---....-..-- ._--- ....-----..----- _.-. --.. -'.------....---- -;-:---- -.. -..------
93-
Year Proportion Stud\: 1947 3691 3162 AIF'0398 1950 0 . 3603 1493 UP0451 1973 5227 1544 AIF'0874 1977 5971 1519 GSS 1978 5774 1531 GSS
TEST ESTIMATE CHI F'ROB CCJnstant 463 plus or minus 0. 0101 405. 001 Litlear Trend Weishted Resression Y =-13. 47 + 0. 0071CX) R SQuared 97Q8 Improvement 395. 001 Fit 10. 013
Mod l: Sisnificant Linear Component
LETDlE2
Would you approve of ending a patient s life if a board of doctors appointed by the court agreed that the patient could not be cured?
Proportion equals Yes on this question and Yes on LETDlEl versus No and DK.
Year Proportion Study 1950 4719 1528 AIP0451 1977 6427 1514 GSS 1978 6212 1518 GSS
TEST ESTIMATE CHI F'ROB -0- - - _M - -. '0"'_'-"N MO',... .OM'- .... _0' ,.0. - -. - - "0''' - Constant 581 plus or minus 0. 0144 108. 001 Linear Trend Weighted Regression Y =-10. 83 + 0. 0058(X) R Sauared o . 9785 Improvement 106. 001 Fit 115 - -. M - - "M ....- .on "M 'N' -. -. _. ..- -- A""- .-. Model: Sisnificant Linear Trend Fits ------.... ------...------.. ------.". -.. - - .....------. -'--_.------.--.--- ...... ---.. ------.---...- - - -_.------:-( .------..-..
94-
LIBATH
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 comunity 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?
Proportion equa I s Not favor versus Favor and DK. Year Proporticm Study ---'-______H 1954 3525 4933 I CPR7202 1972 6070 1607 GSS 1973 6100 1501 GSS 1974 5990 :L 482 GSS 1976 5960 1497 GSS 1977 5862 1525 GSS 1978 5995 1508 NORC4269
TEST ESTIMATE CHI PROB M- -.. Constant 510 plus or minus 0. 0082 844. 001 Linear Trend Weighted Regression Y =-21. 98 + 0. 0114(X) R Sauared 8946 IlT,provement 806. 001 Fit 37. 001 ... 'H"__'.. -''''''''- - Model: Significant Linear Component
LIBCOM
Now , I should like to ask you some questions about a man who admits he is a Connunist. Suppose he wrote a book which is in your public library. Somebody in your connunity suggests that the book should be removed from the library. Would you favor removing , or not?
Proportion eQuals Not favor versus Favor and DK.
Year Proportion StudY 1954 2693 4932 ICF'r0202 1972 5290 1608 GSS 1973 5840 1498 GSS 1974 5860 1478 GSS 1976 5610 1494 GSS 1977 5529 1523 GSS 1978 6137 1504 NORC4269 ------. ------.------.- ....------.--.---- - ....- ---.------.. -.------.-.....-...... - .... ------.-...... --....-.--..-..------.------. ---.------. - -.------(.(_..::: ------.-----.. -- -.-
95-
TEST ESTIMATE CHI sa PROB Constant 450 plus or minus 0. 0080 1392. 001 Linear Trend Weighted Regression Y =-27. 48 + 0. 0142(X) R Sauared 9362 Imp rovement 1359. 001 Fit 32. 001 Hodel: Significant Linear Component
LIBHOMO
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?
Proportion equals Not favor versus Favor and DK.
Year F' ropo rt ion Stud!: 1973 5350 1502 8SS 1974 5500 1479 8SS 1976 O. 5540 1497 8SS 1977 5531 1526 8SS
TEST ESTIMATE CHI sa PROB ,.,. ."N.. Constar.t 548 plus or minus 0. 0128 705 Linear' Trend Weighted Regression Y = -7. 37 + 0. 0040(X) R Sauared 6869 Improvement 100 677 Fit o . 804 -. ___-.n. - Hodel: Constant
LIBMIL
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 , or not? ------'------'--- --.- - -- -.-.- - -.,------. --.--_.------.------.------.------.------. ------
96-
Proportion equals Not favor versus Favor and DK.
Year ProF-ortion Stud 1976 5610 1493 8SS 1977 5459 1526 8SS 1978 5997 1499 NORC4269
TEST ESTIMATE CHI SO PROD
Constant 569 plus or minus 0. 0147 o . 008 Linear Trend Weishted Regression =-38. 06 + 0. 0195(X) R Saua red 4860 ImF-rovement 028 Fit 025 Model: Significant Linear ComF-onent
LIBRAC
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?
Proportion equals Not favor versus Favor and DK.
Year F'roF-ortion Stud 1976 o . 5980 1492 8SS 1977 6098 1525 8SS 1978 6459 1508 NORC4269
TEST ESTIMATE CHI SO PROD ._...._" h"_.... .--. _..n'- - Cons tant 618 plus or minus 0. 0144 018 Linear Trend Weishted Resression Y =-46. 96 + 0. 0241(X) R Snua red 9215 IITF-rovement o . 007 Fi t o . 565 Model: Sisnificant Linear Trend Fits ------..------.------.------_._.. -_.,---- ...-- -.- -- -.- - -...-, --.-..--..------...---...... --..--.-.._.--.----...... -..- -.--:j. - -,, ------(-- -_. .-.--.------...
97-
LIBSOC
Or consider a person who favored government ownership of all the railroads, and all big industries. If some people in your community suggested a book he wrote favoring government ownership should be taken out of your public library, would you favor removing this book , or not?
Proportion equals Not favor versus Favor and DK.
Year ProF-ortion StlJd 1954 o . 3454 4933 ICP.U202 1972 6780 1602 GSS 1973 7130 1501 GSS 1974 6930 1479 GSS
TEST ESTIMATE CHI sa F'ROB 'M' Cons tant 519 F-lus or minus 0. 0096 1329. 001 Linear Trend Weighted Regression Y ;:-35. 52 + 0184(X) R SOlJared 9920 ImF-rovement 1324. 001 Fit r. 069 MO' ------.-- M" - Model: Significant Linear Trend Fits
LIFE
In general , do you find life exciting, pretty routine , or dull?
Proportion equals Exciting versus Routine, Dull, and DK.
YeaT' F' T'OF-O T't i on Stl.Jd 1969 4786 1521 AIP0788 1973 4530 1489 GSS 1974 0 . 4320 1450 GSS 1976 0 . 4450 1484 GS5 1977 4418 1503 G:35 ------..--..-.------.,-- - - -'------.------.- --.------'''------. ------..----...------..-- -. ------...------.--.-- -- -.------:------. ------_.
98-
TEST ESTIMATE CHI sa F'ROB - -..- - - --. '0..OM ..,. -. ..,. 'M. .... 'M' _0' - "N'- - Const.ant 450 plus Dr minus 0. 0115 0+109 Linear Trend Wei hted Re ression Y = 9. 65 - 0. 0047(X) R Saua red 6760 Improvement 5.1 022 Fi t. o . 504 Model: Const.ant
MADEG
Respondent' s mother s (substitute mother s) degree.
Proportion eauals Less than high school versus High school , Associate/ Junior college, Bachelor , and Graduate.
Year Proportion Stud 1972 6450 1290 GSS 1973 6140 1250 GSS 1974 6240 1310 GSS 1975 6040 1317 GSS 1976 6240 1300 GSS 1977 6104 1322 GSS 1978 0 . 5659 1380 GSS
TEST ESTIMATE CHI PROB Constant 612 plus or minus 0. 0102 20. O. 003 Linear Trend Wei hted Regression Y = 18. 03 - 0. 0088(X) R Sauared o . 5975 IlflProvement 12.1 001 Fit 159 ____0. - Model: Si nificant Linear Trend Fits
MAEDUCI
Respondent s mother s (substitute mother s) education.
Proportion eauals less than twelth grade versus twelth grade to eight years of college. ------...... --- -- ...... --.... --- -..------...... - --..- ...------. ---.- -- .------.-- - -. - .--.------.-....-.------.. .-. - _..-- .-.-- _..- ...._. -,.-..- .-. -.-...... - .....-.., -----.-.--.------.. .-...- _.-. _.....--.- --")' ....- --"--- --._..--)." ------..- -.-- -.--:-.---.- - -. - .._.-- -.--..
99-
Year Proportion StlJd
1972 0 . 6200 1254 GSS 1973 0 . 5990 :L 208 GSS 1974 0 . 5990 1227 GSS 1975 0 . 5920 1256 GSS 1976 0 . 5920 1206 GSS 1977 0 . 5789 1230 GSS 1978 5317 1260 GSS
TEST ESTIMATE CHI PROB ..,- "0- .... "N -. _.. M.. _. - - -. M" Cor.s tant 588 plus or minus 0. 0106 ,J;7. .. " '\) 001 Linear Trend Weishted Resression Y = 22. '"- 0. 0:l2(X) SQIJa red O. 7652 Improvement 17. 001 Fit 371 '."M'_- - _.M' - - ___N "N Model: Sisni ficant Linear Trend Fi
MAEDUC2
Respondent s mother s (substitute mother s) education.
Proportion equals one to eight years of college versus twelth grade or less.
Year Proportion Stud n_..- ...... n. 1972 1180 1254 GSS 1973 1180 1208 GSS 1974 1310 1227 GSS 1975 1220 1256 GSS 1976 1140 1206 GSS 1977 1138 1230 GSS 1978 o. 1341 1260 GSS
TEST ESTIMATE CHI F'r ... -. 'M' .0, .- -- -. 'M- -- 'M' ..- -- - - n', Constant 121 plus or minus 0. 0070 627 Linear Trend Weishted Resression Y = -1. 34 + 0. 0007 (X) R SQua red o . 0486 Improvement 684 Fit 521 Mode l: Constant ...... ------.---...... ,.....,...... -.(). ------. -". .... ------_. -.- -. ------...... -...... -..-.,..------'--'-'------=---- . --
100-
MANNERS
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE , OBEYS , RESPONSI , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
MARITAL
Are you currently--married , widowed , divorced , separated , or have you never been married?
Proportion equals Married versus Widowed , Divorced , Separated , and Never married.
Yf:!a r. Proportion Stud '...... no. .n. .h. . 19"72 7J(yO :1613 DSS 19"73 7:l :;O 'j04 DSS 19"74 71130 :1404 DSE; 19nj 67:?O :1490 Gi:; 19"76 o . 6 jO() :1499 GBB 19"7"7 63"7:3 53!) GSS ;)7B O. (.,270 j3:1 (3S
TEST ESTIMATE CHI sa PROB Constant 679 plus or minus 0. 0090 68. 001 Linear Trend Weishted Resression Y = 35. 64 - O. 0177(X) R SalJa red 9164 Improvement 62. 001 Fit 311 Model: Sisni ficant Linear Trend Fits
MAWORK
Did your mother ever work for pay for as long as a year , after she was married? (asked only of respondents who lived with own mother around the time they were 16 , see FAMILY 16
Proportion equals Yes versus No. ------.--....------.------.----.- -.-.------.. - _... -. - ..-.-...- - ...--.----...... -.------....-....-- ..- .'- -.--.-- -.- - -'-'-'------.:::-:'::: --_.- .. --- --
lOI-
Year Proportion Stud
1973 0 . 4530 1305 GSS 1974 4730 1274 GSS 1975 5170 1320 GSS 1976 5150 1318 GSS 1977 4679 1338 GUS 1978 5502 1365 GSS
TEST ESTIMATE CHI PROB M__' - - Cons tant 496 plus or minus 0. 0112 37.1 001 Linear Trend Weighted Regression Y ::-26. 04 + 0. 0134(X) R Saua red 4539 ImpT'ovement 16. 001 Fit 20. 001 ....-...... '__.0"' - -. __.0.. Hodel: Significant Lineal' Component
New we. would like to know something about the groups and organizations to which individuals belong. Here is a list of various kinds of organizations. Could you tell me whether or not you are a member of each type?
MEMCHURH 15
Church-affiliated groups.
Proportion equals Yes versus No.
Year Proportion Stud 1960 3504 298 AIPD625 1967 0 . 0621 3092 NOI:;C4018 1974 4210 1475 GSS 1975 0 . 4010 1465 GSS 1977 3867 1518 GSS 1978 3622 1524 GSS ------_.------.------. --..------.- -.-. ..- ---. ------.-- ---..------.... ------.------:-.- --..---- .------.-- -.-.
102- continued from question preceding MECHUR
TEST ESTIMATE CHI SC F'ROB ... "M'- .... Cons tant 194 plus or minus 0. 0066 2242. 001 Linear Trend Weighted Regression Y =-38. 97 + 0. 0199(X) R SGua red O. 1775 Imp rovement -271. 1 . 000 Fit 2513. 001 Hodel: Not constant, not linear
MEMF ARM
Farm organizations.
Proportion equals Yes versus No.
Year Proportion StlJd!: 1960 0 . 0255 2985 AIF'0625 1967 0398 3089 NORC4018 1974 0430 1462 GSB 1975 0420 1459 GSB 1977 0396 1515 GSS 1978 0357 1514 GSB
TEST ESTIMATE CHI SQ PROB Constant 035 plus or minus 0. 0033 17. o . 004 Linear Trend Weighted Resression Y = -1. 51 + 0. 0008 ( X ) R SGua red 4867 ImprovelJlent 11. o . 001 Fit 151 - 'M' M" -..-.- Model: Significant Linear Trend Fits
MEMFRA T
Fraternal groups.
Proportion equals Yes versus No. ------==== ------_. ------...------.-.... ------....------....------....-_.- --...- -.------.-.." -.,.,.- -.--..-..- - -- ...... ---. ------....-.-...... - ....--..-.------"-""'-'-' --- -_.- .... ----- _.-- -...... - -.------.---..------: -:..- - -.----...... -...... -- ..._-- - --
103- continued from question preceding MEMCHUR
Year Proportion Stud!: 1960 0890 2989 AIP0625 1967 1469 3090 NORC4018 1974 1390 1462 GSS 1975 1090 1463 GSS 1977 1028 1518 GSS 1978 1003 1515 GSS
TEST ESTIMATE CHI PROB OM' - -oo...... '0"'- ...... - .... "'0'- ,.n .0" ...... -.. -'''''' .n. Constant 112 plus or minus 0. 0057 62. 001 Linear Trend Weighted Regression Y = -1. 34 + 0. 0007 (X) R Sauared 0017 I niP rovement o . 091 Fit 59. 001 _M..' woo Hodel: Not constant, net linear
MEMGREEK
School fraternities or sororities.
Proportion equals Yes versus No.
Year Proportion Stud!: 1960 0111 2985 AIP0625 1967 0330 3094 NOF C4018 1974 0470 1462 GSS 1975 0440 1459 GSS 1977 0448 1518 GSS 1978 0383 1516 GSS
TEST ESTIMATE CHI F'ROB .'__'0.. Cons tant 024 plus or minus 0. 0028 108. 001 Linear Trend Weighted Regression Y = -3. 90 + 0. 0020(X) R Sauared 8025 Improvement (J"i' . 9 001 Fit 10. o . 032 ... ..- -.. -.. M...... H- ...... Model: Significant Linear Component ------.------....------_.------"'-.- --- -.- - -- -..- -._------.------:.:; -- .------
104- continued from question preceding MEMCHUR
MEMHOBBY Hobby or Garden Clubs.
Proportion equals Yes versus No.
Year Proportion Stud!: 1960 0054 2985 AIF'0625 1967 0 . 0540 3093 NORC4018 1974 0980 1462 GSS 1975 0890 1456 GSS 1977 0930 1516 GSS 1978 0943 1517 GSS
TEST ESTIMATE CHI SQ PROB _M------Constant 019 plus or minus 0. 0024 568. 5 001 Linear Trend Weishted Resression Y =-10. 97 + 0. 0056(X) R Sauared 9370 I RIP roveRlent 556. 001 Fit 12. 017 Model: Sisnificant Linear Component
MEMLIT
Literary, art , discussion or study group s.
Proportion equals Yes versus No.
Year Proportion Stud!: 1960 0134 2985 AIP0625 1967 0385 3090 NORC4018 1974 0940 1461 GSS 1975 0910 1457 GSS 1977 0903 1518 GSS 1978 0892 1513 GSS ------.------.------'------.------_..------....-...- -...- --..-..-. ..'..--- .. "''' ----.-- -.' .-....- - ..------.....-,...-.-- ...- -..,-- ..-... -.- - --.- -..-.-.- .... - --.....-- - _.- - --... .------.--- .(-: -.(-:------.-.-..-- ...-.-. --.------.
105- continued from question preceding MEMCHUR
TEST ESTIMATE CH I F'ROB
Cons tant 034 plus or minus 0. 0032 331. 7 001 Linear Trend Weishted Resression Y = -9. 41 + 0. 0048(X) R Stwared 9310 Imp rovement 320. 001 Fit 11.3 023 M.._.." -.. -.- 'M' 'n' Model: Sisnificant Linear Component
MEA T
Nationality groups.
Proportion equals Yes versus No.
Year Proportion Stud!: 1960 0 . 0060 2985 AIP0625 1967 0 . 0204 3090 Nor C4018 1974 0 . 0360 1462 8SB 1975 0 . 0250 1454 8SB 1977 0 . 0343 1518 (:1SS 1978 0 . 0258 1514 8SB
TEST ESTIMATE CH I BC PI:;OB ...... -...... 'M Constant 014 plus or minus 0. 0022 92. 001 Linear Trend Weishted Resression Y = -2. 93 + 0. 0015(X) R Saua red O. 7321 Improvement 82. 001 Fit 043 N- ..,. '_'N"_'_'- .oM Model: Bisnificant Linear Component
MEMNUM
Any membership at all.
Proportion equals one or more versus none. ------.- -- ======------.------.------_._------.-- _.----.-.------.------.- -- ._ -.------...------,------.------. -- -.-.------.------.:;.::: ---- .:::.. ------.
I06-
continued from question preceding MECHURH Year Pr-oportion St, IJd\: 1960 5574 3012. AIP0625 1974 7490 1484 GSS 1975 0 . 7240 1487 GSS 1977 7170 1530 GSs 1978 721. 1532 GSS
TEST ESTIMATE CHI PROB Constantlinear Trend 0. 679 plus or minus 0. 0097 259. .::: + 001 Wei hted Resression Y =-19. 30 + O. OlOl(X) R Sauared 0. 8776 I !TP rovelT,en' 236 + 2 001 Fit :23 + 1 .::: .. 001 Model: SiSnificant linear Component
MEMOTHER
Any other groups.
Proportion equals Yes versus No.
Year St.ud\: ___4______-Proportion 1967 0715 3092 NORC4018 1974 0.1 040 1451 GSS 1975 0870 1450 ass 1977 o . 0954 1509 ass 1978 1038 1512 GSS
TEST ESTIMATE CH I PROB MM - - - _.__M - - - Constant 087 plus or minus 0. 0059 21. 001 Linear Trend Wei hted Re ression Y = -5. 37 + 0. 0028(X) R Saua red 6923 I IIIP rovemer. t 17. 001 Fit 283 _"M Hodel: Si ni ficant. Linear Trend Fi ts ====------.-- - --.-.------...... ------..... -.-.- -., ...... ---. - --. -....- -.-- -..-----.--.,..,....-...... ------.... -.-- - -.------....-:.:; -- ..-.------
I07- continued from question preceding MEMCHURH
MEPOLIT
Political Clubs.
Proportion equals Yes versus No.
Year Proportion StlJj\: 1960 0201 2985 AIF'0625 1967 0819 3091 NORC4018 1974 0450 1464 GSS 1975 0440 1460 GSS 1977 0482 1516 GSS 1978 0350 1515 GSS
TEST ESTIMATE CHI SQ F'ROB -..-.- "'0"""_00"'- Constant 037 plus or minus 0. 0034 134. 001 Linear Trend eishted ReSression Y = -2. 76 + 0. 0014(X) R SQua red 0091 IlflProvement 26. 001 Fit 107. 001 Model: SiSnificant Linear Component
MEMPROF Professional or academic societies.
Proportion equa Is Yes versus No.
Year Proportion Stud\: 1960 0261 2985 AIF'0625 1967 0663 3090 NORC40 18 1974 o. 1320 1462 GSS 1975 O. 1190 1461 G"SS 1977 O. 1305 1517 GSS 1978 0.1333 1515 ------.------.-- -.. - -'- - .... ----.------.....-. --.------_.------.- --- -.---.....--- --.-.-.------,... ------. - - ..------....-...-....------..-- --- ... ------.- .:::-:.;::,(------.. ------
108-
con' tinued from question preceding MEMCHURH
TEST ESTIMATE CH I F'ROB ------MM- - - - N" -. 'N' ,-,. -- M" -- ... "N 'M' Cons tant 060 plus or minus 0. 0043 388. 001 Linear Trend Weighted Regression Y =-12. 47 + 0. 0064(X) R S IJared 9626 Improvement 382. 001 Fit 243 ------..-.- __NO - -. -.---.. "-_"M Model: SiSnificant Linear Trend Fits
MEMSCHL
School Service Groups.
Proportion equals Yes versus No.
Year F' rOPfJ rt i on Stud!: 1960 0787 2985 AIF'D625 1967 o. 1705 3091 NORC4018 1974 1770 1462 8SB 1975 1410 14l)2 8SB 1977 1339 1516 8SS 1978 1406 1515 8SS
TEST ESTIMATE CHI sa PROB
Cons tant 126 plus or minus 0. 0060 167. 001 Linear Trend Weighted Regression Y = -7. 24 + 0. 0037(X) R SalJared 2710 ImprovelJlent 79. 001 Fit 88. 001 Model: Significant Linear Component
MEMSERV Serivce clubs.
Proportion equals Yes versus No. ------..------.... ------_._------....------..-...... ------.---.--.------..------.- - -.... - -. ------..-.----..- ,- .-.---- -_.. --...-...... --- -_.- -.------.-.:::-----.. -. --...---..-- ---
109- continued from question preceding MEMCHURH
Year Proportion Stud !: 1960 0425 2985 AIP0625 1967 0 . 0592 3090 NORC4018 1974 0900 1461 GSS 1975 0 . 0850 1463 GSS 1977 1074 1518 GSS 1978 0842 1520 GSS
TEST ESTIMATE CHI SQ PROB -. - - --.-.-.. - - -.M Constant 065 plus or minus 0+ 0045 93. 001 Linear Trend Wei hted Re ression Y :: -5. 97 + 0. 0031(X) R Sewa red O. 8533 Improvement 85. 001 Fit O. 1 0 "M Model: Si nificant Linear Trend Fits
MEMSPORT
Sports Groups.
Proportion equals Yes versus No.
Year Proportion Stl.Jd!: 1960 0218 2985 AIP0625 1967 1219 3093 NOF C4018 1974 0.1790 1464 GSS 1975 O. 1900 1464 GSS 1977 1866 1517 GSB 1978 o. 1954 1520 GSS
TEST ESTIMATE CHI SQ PROB _0... -... - - - 'M'..- _N -. .N' "M M- 0_...... 0- Constant 067 plus or minus 0 0044 944. 001 Linear Trend Wei hted Re ression Y ::-20. 58 + 0. 0105(X) R Souared 9540 Improvement 920. 001 Fit 24. 001 -----...- ----N - - - .-.-.- --...-.- __'..M M - Model: Si Rificant Linear Component ------.--..------...... ------.------.------..-. .---.. ..- -.------...- -_. ------....-.-.-.-..------:---.;:: .. ------
1l0-
continued from question preceding MECHUR
MEMUION
Labor Unions.
Proportion equals Yes versus No.
Year Proportion Stud -"""""0"- 1960 0224 2985 AIP0625 1967 1701 3092 NORC4018 1974 1650 1465 GSS 1975 1580 1459 GSS 1977 1718 1519 GSS 1978 1527 1519 GSS
TEST ESTIMATE CH I PROB - - __A - _'0 Constant 069 plus or minus 0. 0045 898. 001 Linear Trend Weighted Regression Y =-18. 17 + 0. 0093(X) R SGIJared O. 6253 I ITIP rovement 739. 001 Fit 158. 001 _..N -- Model: Significant Linear Component
MEMET
Veterans ' group s.
Proportion equals Yes versus No.
Year Proportion Stud 1960 0519 2985 AIP0625 1967 0 . 0730 3094 NORC4018 1974 0 . 0900 1464 GSS 1975 0780 1464 GSS 1977 0 . 0830 1518 GSS 1978 0 . 0653 1515 GSS ------.------.------.------.------.------.--.-..-..------.------.----.---....------.__._... -.------._------.------'------: - --. ------'--
lll- continued from question preceding MECHUR
TEST ESTIMATE CHI sa F'ROB Cons tant 068 plus or minus 0. 0046 32. 001 Linear Trend Weishted Resression Y = -2. 76 + 0. 0014(X) R Souared o . 4223 I RtP rovement 18. 001 Fit 13. o . 009 Hodel: Sisni icant Linear Component
MEMYOUTH Youth Groups.
Proportion equals Yes versus No.
Year Proportion Stud 1960 0369 2985 AIF'D625 1967 0723 3085 NORC4018 1974 O. 1050 1464 GSS 1975 0 . 0980 1462 GSS 1977 O. 1034 1518 GSS 1978 0 . 0904 1515 GSS
TEST ESTIMATE CH I sa F'ROB Constant 066 plus or minus 0. 0045 147. 001 Lirlear Trend Weishted Resression Y = -7. 35 + 0. 0038 (X) R SGuared o . 8597 Imp rovement 137. 001 Fit 10. o . 034 Model: SiSnificant Linear Component
MOBILE16
When you were 16 years old , were you living in this same (city/town/ county) ?
Proportion equals Same State , same City versus Same State , different City and Different Sta te. ------.------.------..------. ------.------....--...------
112-
Year Proportion StlJd': 19'72 4640 1562 6SS 19'73 4110 1473 6SS 1974 4140 1484 8SS 1975 0 . 4350 1426 6SS 1976 4340 1462 8SS 1977 4310 1457 8SS 1978 4070 1521 6SS
TEST ESTIMATE CHI PROB M" - -" Cons tant 428 plus or minus 0. 0097 14. 025 Linear Trend Wei hted Re ression ;: 8. 53 - 0. 0041(X) R Souared o .1900 Improverr,ent O. 083 Fit 11.5 041 'N' Hodel: Not constant, not linear
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 (READ ITEM)... are we spending too much, too little , or about the right amount on (ITEM)?
NATAIDI Foreign aid.
Proportion equals Too little versus About right , Too much , and DK.
Year Proportion Stud': 1971 0383 1487 ROPER524 1973 0420 1503 6SS 1973 0210 1766 ROPER003 1974 0300 1481 GSS 1 97 0540 1489 GSS 1976 0290 1492 GSS 1977 0341 1527 6SS 1978 0385 1532 8SS ------.------.--.------.-- -- -.------'.- -. --.- -- .-.------.-.------'---.------.:::----:------. ---. ------
113-
continued from question preceding NATAIDI
TEST ESTIMATE CHI SG F'ROB -- "M - _'M' - - - M- - Constant 033 plus or minus 0. 0032 32. 001 Linear Trend Weishted Resression Y = -1. 59 + 0. 0008CX) R SGuared 0046 IIJProvement '.-1. 1 . 000 Fit 33. 001 ------.- - - M" -.------Hodel: Not constant, not linear
NATA ID 2 Foreign aid.
Proportion equals Too much versus Too little , About right , and DK.
Year Proportion Stud!: 1971 6994 1487 ROPER524 1973 7030 1503 GSS 1973 7712 1766 OPER003 1974 7560 1481 GSS 1975 7310 1489 GSS 1976 0 . 7550 1492 GSS 1977 6614 1527 GSS 1978 6651 1532 GSS
TEST ESTIMATE CHI PROB Constant 722 plus or minus 0. 0081 96. 001 Linear Trend Weishted ReSression Y = 15. 82 - 0. 0077CX) R SGIJa red 1618 I ITIP rovement 15. 001 Fit 81.4 001 -.- 'M' --- - "M'- Hodel: Sisnificant Linear Component
NATARMSl
The military, armaments and defense.
Proportion equals Too little versus About right , Too much , and DK. ------._. ------. ------:------. - ---
114-
continued from question preceding NATAIDI
Year Proportion Stl.Jd!: 1960 0 . 2150 2967 AIP0625 1971 1499 1488 ROPER524 1973 0.1120 1496 GSS 1973 1504 1762 ROPER003 1974 0.1690 1479 GSS 1975 1660 1484 GSS 1976 2410 1492 GSS 1977 2374 1529 GSS 1978 2701 1529 GSS
TEST ESTIMATE CHI F'ROB ------M- - Cons tant 182 plus or minus 0. 0062 237. 001 Linear Trend Weighted Regression Y = -0. 06 + O. OOOl(X) R Sauared O. 0364 Improvement -6. 1 . 000 Fit 243. 001 Mode 1: Not constant, not 1 i nea r
NA TARMS 2
The military, armaments and defense.
Proportion equals Too much versus Too little , About right , and DK.
Year ------0_-Proportion Stl.Jd!: 1960 4462 2967 AIF'0625 1971 3461 1488 r';OPER524 1973 0 + 3830 1496 GSS 1973 3104 1762 ROPEFW03 1974 0 + 3100 1479 GSS 1975 0 + 3110 1484 GSg 1976 2720 1492 GSS 1977 2286 1527 GSS 1978 0 . 2184 1529 GSS ------.------..-- -._-- - -...-.--.------.-- -.- -.-.--.--.------.------.---.-..------.." -- _.----...------.--.. ------...-..------. - .------:....-.(--.;::--.-: -. .. ---_._------
1l5- continued from question preceding NATAIDI
TEST ESTIMATE CHI SQ PROB M- Constant 317 plus or minus 0. 0074 404. 001 Linear Trend Weishted Resression Y = 23. 27 - 0. 0116(X) R SGuared o . 7926 IIY,proven,ent 340. 001 Fit 64. 001 Model: Sisnificarit Linear Component
NATCITYl
Solving the problems of the big cities.
Proportion equals Too little versus About right, Too much, and DK.
Year Proportion Stud 1971 4147 1488 ROPER524 1973 4820 1499 8SS 1973 0 . 5003 1517 ROPER003 1974 4990 1474 8SS 1975 4710 1479 8SS 1976 4260 1492 8SS 1977 0 . 4033 1525 8SS 1978 0 . 3873 1531 8SS
TEST ESTIMATE CHI PROB Constant 447 plus or minus 0. 0090 88. 001 Linear Trend WeiShted Resression Y :: 20. 68 - 0. 0102 (X) R SGIJa red 2720 Improvement 24. 001 Fit 63. 001 'M' Model: Sisnificant Linear Component
NATCITY2
Solving the problems of the big cities.
Proportion equals Too much versus Too little , About right , and DK. ------.------..- .- -.-. ..------.... - .-. - --- .... -- -_. ------.- - -- -.-.------)":'----.-.------...,-- - - -. -.------...... ------..------...------( ------. -
116- continued from question preceding NATArDl
Year' Pr'oportion Stud
1971 O. :/,035 1488 ROPEF 524 1973 1230 1499 13SB 1973 O. 1338 151'7 ROPEFW03 :/,974 1 :1. 1474 13SB 1975 180 1479 13SB 1976 O. 1950 149:; 13SB 1977 1941 10:"'J.:;. 13SB 1978 1888 1531 8SS
TEST ESTIMATE CHI SQ PROB '_0- - Constant 139 plus OJ' minus 0. 0063 127 + 001 Linear TT'end Wei hted Re ression Y =-27. 31 + 0. 0139(X) R SQIJared 7170 Imp 1'0 vement 87. 001 Fit 40.1 001 - __M - - .-..-- Model: Si nificant Linear Component
NATCRIMEI
Halting the rising crime rate.
Proportion equals Too little versus About right , Too much, and DK.
Year Proportion Stud __0______-- 1971 6107 1490 ROF'ER524 1973 6460 1497 8SS 1973 6397 1757 ROF'ER003 1974 6660 1481 8SS 1975 0 . 6560 1484 8SS 1976 0 . 6570 1489 GSS 1977 6575 1524 GSS 1978 6435 1526 GSS ------. ------.------..------.------.------.------"-- _.------.--- -.-.-'--'- --.------. ------.------.::: ------. ------
117- continued from question preceding NATAIDI
TEST ESTIMATE CH I PROB ------M - Constant 647 plus or minus 0. 0086 13.1 070 Linear Trend Weighted Regression Y = -7. 64 + 0. 0042(X) R Scwared o . 3462 Improvement o . 034 Fit O. 192 -. - - - -. 'M. Model: Constant
NATCRlME2 Halting the rising crime rate.
Proportion equals Too much versus Too little , About right , and DK.
Year Proportion StlJd\: 1971 0376 1490 ROF'ER524 1973 0470 1497 GSS 1973 0444 1757 ROPEFW03 1974 0490 1481 GSS 1975 0550 1484 GSS 1976 0790 1489 GSS 1977 0558 1614 GSS 1978 0609 1526 GSS
TEST ESTIMATE CHI PROB Constant 051 plus or minus 0. 0040 29. 001 Linear Trend Weishted Regression Y = -7. 73 + 0. 0039(X) R S IJa red 5486 Improvement 18. 001 Fit 11.3 079 Model: Sisnificant Linear Trend Fits
NATDRUGI Dealing with drug addiction.
Proportion equals Too little versus About right , Too much , and DK. ------.------.------.---.------.....- - ...-..- - - -..., ------....----.-....-...... --- -.... -..- --.~~~ ....------..------.;.:::.::- --- .-. -- ---
-118- con t inued from que s t ion preced ing NATA ID 1 Year Proportion Study
1971 6175 1493 FWPEr ;!4 1973 6590 1493 GSS 1973 5793 1759 rWPER003 1974 0 . 6000 1478 GSS 1975 5510 1482 GSS 1976 5870 1493 GS!3 1977 0 . 5520 1520 GSS 1978 5527 1527 GSS
TEST ESTIMATE CHI SQ PROB -.- -. 'N' Constant 588 plus or minus 0. 0089 64. 001 Linear Trend Weishted ReSression Y = 23. 19 - 0. 0114(X) R Saua red 4992 I Il? rovement 31. 001 Fit 32. 001 'OM Model: SiSni icant Linear Component
NATDRUG2 Dealing with drug addiction.
Proportion equals Too much versus Too little , About right , and DK.
Yeal' Proportion St'Jdy 1971 0429 1493 ROPER524 1973 0 . 0600 1493 GSS 1973 0495 1759 ROPER003 1974 0650 1478 GSS 1975 0 . 0840 1482 GSS 1976 0790 1493 GSS 1977 0 . 0855 1520 GSS 1978 0 . 0878 1527 GSS ------..------..------.... ------..------.-----.-...------..------.------._--.-.-..------.- -.-.....--...... - --.-..------.--- -.-.-.- --.------.....-.------.------....-._------. - -.------.....- ----.-.------(-:.:::-....- _. - - ...----.. --_._----.. -..--
119- continued from question preceding NATAIDI
TEST ESTIMATE CH I PROB - -- - - ""0'_'-'n, Cons tant 065 plus or minus 0. 0044 56. 001 Linear Trend Weishted Resression Y =-14. 31 + 0. 0073(X) R SOIJared 8817 Improvement 50. 001 Fit 419 N" Model: Sisni ficant Linear Trend Fits
NA TEDUC I
Improving the nation s education system.
Proportion equals Too little versus About right, Too much, and DK.
Year Proportion Stud
1971 4388 1488 ROPEF 524 1973 4900 1499 GSS 1973 4583 1752 OPER003 1974 5070 1474 GSS 1975 4900 1487 8SS 1976 5020 1495 8SS 1977 4761 1527 8SS 19"78 5163 1530 8SS
TEST ESTIMATE CHI PFWB Constant 484 plus or minus 0. 0090 29. 001 Linear Trend Weishted Resression Y ::-1.5. .. 0. 0080(X) R Souared o . 4983 I ITIP rovement 14. 001 Fit 14. o . 025 Model: Sisnificant Linear Component
NATEDUC2
Improving the nation s education system.
Proportion equals Too much versus Too little , About right, and DK. ------....------'------....------...... --- --'------
-120- continued from question preceding NATAIDl
Year Proportion Stud 1971 0941 1488 ROPER524 1973 0 . 0900 1499 GSS 1973 0 . 0982 1752 FWPER003 1974 0 . 0850 1474 GSS 1975 1120 1487 GSS 1976 0740 1495 GSS 1977 0969 1527 GSS 1978 1091 1530 GSS
TEST ESTIMATE CHI F'ROB --.- - -H.- -. - -. M- -- Constant 094 plus or minus 0. 0053 19. 007 Linear Trend Weighted Regression Y :: -1. 46 + 0. 0008(X) R SCHJared 0443 Improvement 653 Fit 19. o . 004 Model: Not constant, not inear
NATENVIRI
Improving and protecting the environment.
Proportion equals Too little versus About right , Too much , and DK.
Year Proportion Stud 1971 5585 1495 ROPER524 1973 6110 1498 GSS 1973 4587 1766 OPER003 1974 0 . 5900 1476 GSS 1975 5340 1490 GSS 1976 5480 1494 GSS 1977 4751 1524 GSS 1978 5242 1528 GSS ------.-.------..------.------.------. .--.-- - - - .---- ._------.._._.. ..- -- - -.....--..- -._------.---;;,;)--.--..- --..-..------'''------.:::.:;:-: -- -_.. . ------
121-
continued from question preceding NATAIDI
TEST ESTIMATE CH I F'I -- --- _M__- . Cons tant 536 plus or minus 0. 0090 123. 001 Linear Trend Weighted Regression Y = 14. 09 - 0. 0069 (X) R Sauared 1092 Improvement 10. 001 Fit 112. 001 Hodel: Significant Linear Component
NATENVIR2
Improving and protecting the environment.
Proportion equals Too much versus Too little , About right , and DK.
Year Proportion Stud\: 1971 0528 1495 FWPER524 1973 0750 1498 8SS 1973 1506 1766 OPEFW03 1974 0770 1476 GSS 1975 0970 1490 GSS 1976 0930 1494 8SB 1977 0.1102 1524 8SB 1978 0955 1528 GC'('"
TEST ESTIMATE CHI PFWB -H -- '-'-- 'OM'M' ...... -- .M. Constant 088 plus or minus 0. 0051 107. 001 Linear Trend Weighted Regression Y ;:-11. 37 + 0. 0058(X) R Sauared 0917 Improven,ent 22. 001 Fit 85. 001 Model: Sisnificant Linear Component
NATFAREI Welfare.
Proportion equals Too little versus About right , Too much , and DK. ------.-.._. ------_._------.------...... --.... ------..------.:::.:; -- .- --
122- continued from question preceding NATAIDI
Year F' ropo rt i on Stl.Jd':
1971 O. 1784 1474 OF'EF(524 1973 0.1 980 1497 GSS 1973 1703 1762 ROPER003 1974 2210 1481 GSS 1975 2340 1484 GSS 1976 O. 1330 1493 GSS 1977 1234 1524 GSS 1978 1301 1529 GSS
TEST ESTIMATE CHI F'ROB MU- --- Cons tant 166 plus or minus 0. 0067 132. 001 Linear Trend Wei9hted Regression Y = 21. 71 - 0. 0109(X) R Sauared 3037 I DIP rovement 48. 001 Fit 84. 001 Model: Significant Linear Component
NATFARE2 Welfare.
Proportion equals Too much versus Too little , About righ and DK.
Year Proportion Stud':
1971 0 . 5292 1474 ROF'ER524 1973 5144 1497 GSS 1973 4938 1762 ROPER003 1974 4210 1481 GSS 1975 0 . 4280 1484 GSS 1976 5995 1493 GSS 1977 5971 1524 GSS 1978 5834 1529 ass ------"_._------.--.------"- -.------.--.---..------.-.------.------:------. ------
123-
continued from question precedin NATAIDI
TEST ESTIMATE CHI sa F'ROB Constant 521 plus or minus 0. 0089 218. 001 Linear Trend Wei hted Re ression -29. 03 + 0. 0150(X) R Sauared 2278 I IIP rovement 52. 001 Fit 166. 001 Model: Si ni ficant Linear Component
NATHEALI
Improving and protecting the nation s health.
Proportion equals Too little versus About right , Too much , and DK.
Year F' ropo rt i on Stud\:
1971 0 . 5520 1491 ROPEr 524 1973 6080 1497 GSS 1973 0 . 5991 1761 ROPER003 1974 6390 1477 GSS 1975 0 . 6260 148 8SS 1976 6050 1491 1977 5577 1526 8SS 1978 0 . 5542 1532 GSS
TEST ESTIMATE CHI F'ROB ___H Constant 593 plus or minus 0. 0089 50. 001 Linear Trend Wei hted Re ression 15 - 0. 0028(X) R SalJared O. 0331 Improvement 170 Fit 48. 001 M__- - Mode I: Not constant, not 1 i nea r
NA THEAL2
Improving and protecting the nation s health.
Proportion equals Too much versus Too little , About right, and DK. ------.--. ------~~~ ------.------....------=. ------=------~~~------.=.------.-- -- :':. ------;,""; ---~~~- - -- -:=------.----....------.-----.--:,==------=: -- ~~~ ------.(.:::.( -_. . .. ------"".
124-
continued from question preceding NATArDI
Year Proportion Stud!: 1971 0396 1491 ROPER524 1973 0470 1497 8SS 1973 0454 1761 ROPER003 1974 0450 1477 8SS 1975 0510 1485 8SS 1976 0500 1491 8SS- 1977 0695 1526 8SS 1978 0692 1532 8SS
TEST ESTIMATE CH I F'ROB Constant 050 plus or minus 0. 0039 24. 001 Linear Trend Weighted Regression Y = -8. 05 + 0. 0041 (X) R S uared 8156 Imp rovement 19. 001 Fit 582 Model: Sisnificant Linear Trend Fits
NATRCEI
Improving the conditions of Blacks.
Proportion equals Too little versus About right , Too much , and DK.
Year P ropo rt i on StlJd!: 1973 3260 1499 8SS 1974 3090 1477 8SS 1975 2690 1486 8SS 1976 0 . 2740 1491 8SB 1977 2515 1523 6SS 1978 2426 1529 6SS
TEST ESTIMATE CHI F'ROB Constant 277 plus or minus 0. 0094 39. 001 Linear Trend Weighted Regression Y = 32. 90 - 0. 0165(X) R S IJared 9182 Improvement 35. 001 Fit 516 Model: Significant Linear Trend Fits ----====------.------.._------...... -.....- .------.------
12S- continued from question preceding NATAIDI
NA TRACE2
Improving the conditions of Blacks.
Proportion equals Too much versus Too little , About right , and DK.
Year Proportion Stud\:
1973 2160 1499 GSS 1974 0 . 2070 1477 GSS 1975 2400 1486 GSS 1976 2540 1491 GSS 1977 2449 1523 GSS 1978 0 . 2518 1529 GSB
TEST ESTIMATE CHI F'ROB Cons tant 235 plus or minus 0. 0089 16. 006 Linear Trend Weishted Resression Y =-17. 26 + O. 0089CX) R Souared 7040 Improvement 11. 001 Fit 313 Model: Sisni ficant Linear Trend Fi
NATSPACI
Space exploration program.
Proportion equals Too little versus About right , Too much , and DK.
Year Proportion Stud\: 1971 0628 1497 ROPER524 1973 0 . 0750 1503 GSS 1973 0351 1768 ROPEfW03 1974 0770 1480 GSS 1975 0740 1490 GSS 1976 0 . 0920 1496 GSS 1977 1007 1530 GSS 1978 1155 1532 GSS ------.------.------..------.------'-- -'--.------.------(-:.:: - . -.. ------
126-
continued from question preceding NATArDI
TEST ESTIMATE CHI SQ PROB Constant 070 plus or minus 0. 0046 122. 001 Linear Trend Weighted Regression Y =-19. 63 + 0. 0100eX) R SalJa red 6772 Improvement 66. 001 Fit 55. 001 Model: Signi ficant Linear Component
NATSPAC2
Space exploration program.
Proportion equals Too much versus Too little , About right , and DK.
Year Proportion StlJd 1971 6573 1497 ROPEr 524 1973 5850 1503 GSS 1973 6669 1768 ROPER003 1974 6110 1480 GSS 1975 5810 1490 GSS 1976 6040 1496 GSS 1977 4961 1530 GSS 1978 4719 1532 GSS
TEST ESTIMATE CHI PROB Constant 588 plus or minus 0. 0088 221. 001 Linear Trend Weighted Regression Y = 52. -- 0. 0262eX) R Saua red 7525 I ITIP rovement 166. 001 Fit 54. 001 Model : Sisnificant Linear Component
NES
How often do you read the newspaper--every day, a few times a week , once a week , less than once a week , or never?
Proportion equals daily versus less than daily. ====------....------. -- -.- -- -.. ------.-.- -- -.._.------..------..------.:::- --.- ---. - - --
-127-
Year Proportion Stud 1967 7339 3093 NORC4018 1972 6860 1611 GSS 1975 6590 1488 GSS 1977 6234 1527 GSS 1978 5720 1528 GSS
TEST ESTIMATE CHI PROB Constant 673 plus or minus 0. 0097 141. 001 Linear Trend Weishted ReSression Y = 25. 20 - 0124(X) R SGuared 9047 Improvement 131. 001 Fit o . 020 Model: Sisnificant Linear Component
OBEYS
This mnemonic along with all those that deal with desirable children ' qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE , OBEYS , RES PONS I , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
OCC
Respondent s occupation. (coded from the following questions: What kind of work do you (did you) normally do? That is, what (is/was) your job called?; What (do/did) you actually do in that job? Tell me , what (are/were) some of your main duties?; and (Are/Were) you self employed or (do/did) you work for someone else?)
Proportion equals white collar (Professional , technical; Managers , and administrators , sales workers; and Clerical and kindred workers) versus others (Craftsmen and kindred workers; Operatives , except transport; Transport equipment operatives; Laborers; Farmers , farm laborers , etc. and Service workers). ------....------.------.------""'---"'''-' ------
128-
Year ProF-ortion StlJd!:
1972 4820 1447 GSS 1973 4970 1332 GSS 1974 5080 1351 GSS 1975 4910 1349 GSS 1976 5030 1352 GSS 1977 4753 1416 GSS 1978 5011 1405 GSS
TEST ESTIMATE CHI PROB MO..- M- -oo Constant 494 F-lus or minus 0. 0102 585 Linear Trend Weishted ReSression Y :: -0. 21 + 0. 0004(X) R Saua red 0033 I mF- rovement 888 Fit 542 Model: Constant
OWNGUN
Do you happen to have in your home (IF HOUSE: or garage) any guns or revolvers?
Proportion equals Yes versus No.
Year Proportion Stud !:
1959 0 . 5078 1538 AIP0616 1965 5139 1689 AIP0704 1966 5209 1509 AIP0733 1972 4349 1513 AIP0852 1973 0 . 4780 1480 GSS 1974 0 . 4660 1469 GSS 1975 0 . 4636 1512 AIP0925 1975 4531 1536 AIF'0926 1975 4796 1541 AIP0937 1976 4720 1476 GSS 1977 5076 1519 GSS ------.--.-.--.---.------. ------_._-----:: ------.------....-.- -..---- ",..- - -.-- -- .-."..---_.------...... -.-.....-.---.-.------. --.--.-... _. --.----.-----.- ---- _. ----: ------.-- --.------
129-
TEST ESTIMATE CHI SQ F'Fo:DB 'M"- .-.-.- - OM._N- - M"_- - - 'N' Constant 482 plus or minus 0. 0077 47. 001 Linear Trend Wei hted Resression ) . 95 0028 ( X R Sauared 32:1. Improvement 15. 001 Fit 31.7 001 -0. N_H- - - Model: SiSnificant Linear Component
PADEG
Respondent s father s (substitute father s) degree.
Proportion equals Less than high school versus High school , Associate/ Junior college, Bachelor ' , and Gradua te.
Year Proportion Stud 1972 6860 :l29 GSS 1973 6760 1159 GSS 1974 6690 1168 GSS 1975 6640 1208 GSS 1976 6620 :l69 GSS 1977 6828 1176 GSS 1978 6354 1215 GSS
TEST ESTIMATE CHI F'ROB ... 'N' .... M.. ---. _H Constant 668 plus or minus 0. 0104 9.1 168 Linear Trend Wei'hted ReSression Y :: 10. 78 - 0. 0051 (X) R Saua red o . 4366 Improvement o . 046 Fit 391 'H._. - - _. - -..- M" -- 'M' Model: Constant
PAEDUC 1
Respondent' s father s (substitute father s) education.
Proportion equals less than twelth grade versus twelth grade to eight years of college. ------.------.-----.------.--...... ------.------. ------....------...... ,.....- - -.------..------
130-
Year F'roP()rtion Stud\: 1972 0 . 6600 1071 8SS 1973 6530 1124 8SS 1974 6350 1078 8SS 1975 6350 1133 8SS 1976 6290 1087 8SS 1977 6498 1068 8SS 1978 5941 1089 8SS
TEST ESTIMATE CHI PROB
Constant 637 ?lus or minus 0. 0110 13. o . 039 Linear Trend Weishted ReSression Y = 15. 31 - 0. 0074(X) R S uared 5511 IIT?rovement 007 Fit 311 Model: SiSni icant Linear Trend Fits
PAEDUC2
Respondent I S father I s (substitute father s) education.
Proportion equa ls one to eight years of college versus twel th grade or less.
Year Pro?ortion StlJd\: 1972 0 .1580 1071 8SS 1973 1490 1124 8SS 1974 1480 1078 GSB 1975 O. 1540 :L33 GSS 1976 1470 1087 GSS 1977 0.1451 1068 GSS 1978 O. 1708 1089 GSS
TEST ESTIMATE CHI PROB Constant 153 ?lus or minus 0. 0082 700 Linear Trend Weighted Resression Y = -1. 71 + 0. 0009(X) R S ua red 0652 ImprovelTlent 661 Fit 604 Model: Constant ------'-'------.. -- -- -.------..,. --.-.- ...... -.....- - ..--,.-- -.------.....--.--- ..------.-.-.._. _... ------..----.------
131-
PAIND16
Fa ther ' s industry. (coded from the following ques tions: What kind of place did he work for? and What did they (make/do)?)
Proportion equals tertiary versus primary and secondary.
Year ProF-ortion Stud _--__n...... -.-- 1972 3705 1328 GSS 1973 3811 1333 GSS 1974 3643 1282 1975 3940 1316 GSS 1976 3620 1290 GSS 1977 3591 1320 GSS 1978 3715 1327 GSS
TEST ESTIMATE CHI F'ROB Moo Constant 372 F-Ius or minus 0. 0101 o . 546 Linear Trend Weishted Regression :: 3. 43 - 0. 0015(X) R SQIJared 0744 I ITF- rovement 544 Fit 533 uN -. Model: Constant
PAOCC16A
Father s occupation. (coded from the following questions: What kind of work did your father (FATHER SUBSTITUTE) normally do while you were growing up? That is , what was his job called?; What did he actually do in that job? Tell me , what were some of his main duties?; and Was he self-employed; or did he work for someone else?)
Proportion equals white collar (Professional , technical; Managers , and administrators, sales workers; and Clerical and kindred workers) versus others (Craftsmen and kindred workers; Operatives , except transport; Transport equipment operatives; Laborers; Farmers , farm laborers , etc. and Service workers). ------...-....-...---..--- --.....-----.--.------.... ------,..-.. - --'- -"" -., --.------..------. ---- .-- -- -.,.. -.--'------
132-
Year Proportion Stud!: 1972 0 . 2650 1347 8SS 1973 2730 1321 8SS 1974 0 . 2860 1283 8SS 1975 0 . 2620 1314 GSS 1976 0 . 2530 1290 GSS 1977 2487 1315 GSS 1978 2660 1327 GSS
TEST ESTIMATE CHI F'ROB Constant 264 plus or minus 0. 0092 6.1 411 Linear Trend Wei hted Re ression = 5. 73 - 0. 0028(X) R Saua T'ed 2385 Improvement o . 225 Fit o . 539 Model: Constant
PAOCC 16B
Fa ther ' s occupa t ion. (coded from the following questions: What kind of work did your father (FATHER SUBSTITUTE) normally do while you were growing up? That is , what was his job called?; What did he actually do in that job? Tell me , what were some of his main duties?; and Was he self-employed; or did he work for someone else?)
Proportion equals Farmers , farm laborers , etc. versus all others (Professional technical; Managers , and administrators , Sales workers; Clerical and kindred workers; Craftsmen and kindred workers; Operatives , except transport; Transport equipment operatives; Laborers; and Service workers).
Year Proportion StlJd!: 1972 0 . 2600 1347 8SS 1973 2510 1321 8SS 1974 0 . 2360 1283 8SS 1975 2180 1314 8SS 1976 0 . 2340 1290 8SS 1977 0 . 2259 1315 8SS 1978 0 . 2005 1327 8SS ------.------.------,.. ---.- -. ------..------.--.-.- ....--... ..-.------_. -----...-.....".--..-.------'-----.------.------. - ----:.----.----- . ------
133-
TEST ESTIMATE CHI sa F'ROB Constant 231 plus Dr minus 0. 0088 18. 006 Linear Trend Weighted Regression Y = 16. 65 - 0. 0083 (X) R Saua red 7957 Improvement 14. 001 Fit 595
Model Significant Linear Trend Fits
PAPRES 16
Prestige of father s occupation (coded from PAOCCl6 using the Hodge-Siegel-Rossi scale)
Proportion equals versus 39.
Year Proportion Stud 1972 0 . 5720 1347 8SS 1973 0 . 6000 1321 8S13 1-974 0 . 5710 1283 8GB 1975 5760 1314 8SB 1976 5530 12(10 8SS 1977 0 . 5361 1315 8SB 1978 0 . 5644 1327 8GS
TEST ESTIMATE CHI F'f 'OM ._'M' '- .0. Constant 568 plus or minus 0. 0103 12. Linear Trend Weighted Regression Y = 12. 38 - 0 0060 ( X) R Saua red 4285 Improvement 019 Fit 198 - ---.- - - _-n M" _"'OM
Model Significant Linear Trend Fits
PARBORN
Were both your parents born in this country?
Proportion equa Is both born in U. S. versus one not born in U. S., both not born in U. S. , and DK. ------.. ------''''''''''''''''''''''''''''''''''''------...... -..------()------j:: ...------.- -.. - -- -...-- - :/.- --);:!.j ---. -:;;::; _.-- - - _.- -..- -- - .---_. -.-.," ------...... ,...... ,.....,..-...... __...... ---:;. -:) ------.. --.. ------
134-
Year PrQPortion Stud!:
1977 0 . 7822 1529 GSS 1978 8188 1529 GSS
TEST ESTIMATE CHI PROB Constant 802 plus ' or minus 0. 0144 011 Linear Trend Wei hted Re ression Y ;-71. 63 + 0. 0366(X) R Saua red 1 . 0000 Imp rovement 011 Fit 000 Model: Si nificant Linear Trend Fits
PARTYIDl
Generally speaking, do you usually think of yourself as a Republican Democra t , Independent, or what?
Proportion equals Democrat versus Republican , Independent , and other.
Y€-)aT' PY'CJF, or.t, Ion t U ij .... n...... "".n'''",,,'',,,,,,,,,,',,,,,,,,,,,, ..n
":i6 4': 7,:: ELF C i ,; 1 9 )!3 5 6 2 :I B J ( E L. E C. ! ; n 1960 := 1 9:?B ELFC60 1962 !53 :l2B' FL.EC6? 1964 6060 56J EL.EC(.,4 1966 ;4r.):I :12130 ELEC66 :L 9613 ":i :1. 4 :1. .i EL.EC6B :L 970 9:: i04 FLFC70 1('l2 :):L )70 FLFC"?? 197 7j'?:3? :1. 6()",' f:-G :1. 9'7:3 7;:'5 99 :149: 11'7 ;:L 5(t i:l 6 FLEC?4 1('l4 :146.1
:L ;46() :1. f; 197f.) !5:L 2B64 FI.EC' 19'76 !5 (t 149 GSS 1977 7j" ) 4 :;:lB GSG 197f:J :) 3 :) 0 290 EI.EC7B :L97B j2f.) f3S ...... - .... - -...... ,...... ".....,....,...,..,.....,....,...... ,,,...,,() ,, :) ::?::j'? :::; ()!(). ..".: ... -,.. ,... ..- ...,... ,-...... ,..."...... ",...... ",... ". -...:):::;::; -.- ::::';:) ...... ::::/(); ..:?(:::(;j :.... .:: " ,- .
135-
TEST ESTJM? CH I :;u F'F:UB ''''''''''''''''''''''''''''''''''''''''-''''''''''''''''''''''''''''"""'...... "...-...... ,...... '""',,,",'n, " ",''',...... ,.'h.....
Cons -t, ant 539 plus or minus () . Or) .' 4 ::i v ., ()O 1 L.in ?c!T' Trt,\nd Wei hted Re ression :::: O. J() + O. (hhL?(i) R S( ua r'. 0132 I /'P T' ITf. n t .... J ,, 1 . ..)()() F:i t )' C).(. ", t)L1l .- n- "" .... -. ..,. 0...... Moo-- ...... '.n ...... _. -..- -,.. n...... - -.-. . n ...... n', .n. u""""" .n. ...' ...' ,-.. .n...... -,...... n- .... ". -., .... .n. ",. . Model: Not constant, not linear
PARTYID2
Generally spea1ting, do you usually think of yourself as a Republican Democrat , Independent , or what? Proportion equals Independent and Other with no partisan leaning versus Independent and Other with partisan leaning, Republican , and Democrat.
Yea F'r' oportion ;; -i.. 1. Co) '
120U J.. L L L L : :1. (? FLLC:"if; 1(?60 1;.507 (??B LLFC(; 1962 1/9 ::?B\.Y I;: 1.- C /; : 1.964 () (? 3 5() LLLCt:, :I (?66 :I ) (.1 :?H\) LLCC/;/; 1 (?t.iB 1;!.OU :;l) FLEL;,: l(y/O 13B:3 FL.LC 7() 19/2 14/9 LLFC' 19/2 1419 () :7 19"73 :13/3 :1. :;:3 :L 974 1709 EI... CC/4 1974 1390 t :::) :' :L 7jOO Ei :L9l6 :'02 :?t: ()A. LLLL' 1916 1640 1(Y/7 106 iJG ::f; "I::"" :L(y/B C) , :;. I FLi::C-;' 19/13 :1 ! i J (jf;I .-..-.-..-.- -. .-. .. '"''''--"'...... ,...... ,...... ,...... ,...,... ..() .. ,..,-...... -....,-...... ",- ..., ... ',...... "" .'y'", .... ::::...... "".." -... .." ,.-...... :.,/(: -,..:);:' () . " .., ...... - ...... -...... -...... "...... -...., ...... ".-: .,-,,,...... ,..
136-
TEST ::; fII'it' ,TE CHI ::0 F' f 0 B OM'.- ...... , .... .-. 'OM 'M ...... , "M. .N. . 'M' "" '... -...... n...... _. -...... - "M -- n.. -- -,..
Constant. 139 plus or minus o . OO:' J. ::: 5 (0 :? '::: . () 0 Lin(, ar Tr :)nd Weishted Resression I '7:1 + O. 0020(X) R :;c Uar(-:)fj 40'?O :( mt" \,' (:) 'v f? ITI(")n t, j2 I 3 00 :1, Fit '72. 00:1 ..0. "_.n...... 'n...... -
Model: Sisnificant Linear C OITlF' CJnl:: n-l.
PARTY ID 3
Generally speaking, do you usually think of yourself as a Republican Democrat, Independent, or what?
Proportion equals Strong Democrat and Strong Republican versus Democrat, Independen t , Republ ican , and other.
F' ropo 1''1 :i, StUij ..., n- n...... EL.EC! 195B 3'7. 1016 EL.EC!5B 1960 :.3 :i 6 EJ :f '? :: EL.EC()() 19t)2 3:7i30 1289 EL.EC62 1964 3/6? 1 :::i():I EL.EC64 1966 B() EL.ECb6 )O":' 1961: 'I . 1 \0.) :L ELEC6B 19'70 2B'l9 :)( -4 ELEC70 :/9'72 2:::;06 FLEC72 :/(?72 2B13 )O'7 GSS :1, 9'73 23:7:/ :1. 493 GSS :/974 516 EL.EC7-4 19'74 2-430 146:1, 19nj 2320 14B GSS 19'76 2364 21364 FLEC'll) 19U) ,)0 149:: :/97'7 2:"i16 7i :1. B :L9'7B 2;?60 2 : ELEC'7B :l97B 214:1 GSS ...... -...... ,...,...... - .-. " .- .... -... .-. -. "...... -,...... ()()() ...... -,...... ,....'.:: ,,...... , ...... --.::: .:: ?!' .- ...... -...... -"....-,...... ,:) ' "...... ,... . ."...... ,,- .-:,'::" (,.,.,......
137-
TEST EST I i"it C:H I F' r 0 B .n. -. .... -...... - n.. . Cons; tc 272 plus Dr ffinus 0. 0048 if66 001 L. i nei:! T' T Y' n(j WeiShted Resression ,::: :l4. . O. OO' ,) (X) S(. ua Y' B)' I ITIP T'OV(': lrf: 41, ,;. 0 001 F:i t 5:::S ,. 001 n. ..n.- Model: Sisnificant Linear COIrPonent
PARTYID4
Generally speaking, do you usually think of yourself as a Republican Democrat , Independent , or wha t?
Proportion equals Independent and other versus Democrat and Republican.
Y e Prof-"o rt:i. i'- :::) t.. ui.:i ..- .... _'0. .... ".. ..., ...... n.' .... "'0 ...- ..n ..n
:I. (Y 7i6 2747 .I ELLC' :L 9 ')o. 1BJ./; i:::1 CC ,) U 1960 i99 19?D ELL c; , , l) 91.)2 :)21 :l2B'? F L. E C. () :;. 1964 2422 :1.:' ;61 FI... EC(). 9b6 ;96:1. :l2B() FL.EC()( 19M 3() :i9 EL.EC6U :1. 970 3:1'/1: i () -4 EL.EC' (Y72 t) 2"7 ) "7 () ! EL.EC/2 (Y72 30T7 160/ Ij 97:3 360:' :1493 :;::::I 9"74 .'i(1 ) 1 (;, EL.EC). 9/4 146:1 :)E, 975 3744 14B: C., :;b 9/6 ELEC)' (Y76 :372(,) 14? (3::;::; 97"/ ::L3 6 0 c;. l:.i:;;):;;" t," 9713 4030 2 \.1 () EI.F( .. e;, :I. 9?!: 3?OO ;2' :jS ------""-""""'''''''''''''".--...,"...,.------"-"*"'.-... ---' .-,------.... ,'.- .'" ..- -." .... ------...... - ... ------.------:) ' " -,.- --. --- ..,.--- .,. - ---) () -...- ---"...... , ...... ,...... ,....,....- ..------.... .-.-.------.. - .... ------,(.;;: .., - .-
138-
( I r-i;i TF CH I :;D PRUD .., 'R' ..,. ..., ...... -, ..., ...... n. .. ,"'n'"'""-,-"""',,,,,,,
Con ;;taf't 326 plus or minus o ,. :i J. 462. () () :I I.:i. ar Tr(': Weishted Resression Y =-13. 42 + 0, 0070(X) fi: S( l.ar' Of ?9 :?6 I IY F' T' (JVf; ITI(7 n t 72. 00:1. Fi t i:' 00:1 '''''''''''''''''''''''''''''''m .... n', "" -,.. -...... 'n' -., -0- -...... - .... '...... '''' -." .... -,,- .-. .-...... -... "', "R ..., .... -.. _...... n .... .n' Model: Sisf'ificant Linear COIYPonent
PAWRKSLF
Father s employment status. (coded from the following question: Was he self-employed; or did he work for someone else?)
Proportion equals Self-employed versus Someone else.
Year Proportion Stud!:
1977 0 . 3502 1322 GSS 1978 3179 1318 GSS
TEST ESTIMATE CHI PROB Cons tant 334 plus or minus 0. 0183 074 Linear Trend Weishted Resression Y = 64. 25 - 0. 0323(X) R Sauared 1 . 0000 I niP rovelTlent 3.1 074 Fit 1 . 000 Model: Constant
PHONE
Thank you very much for your time and help. Do you have a telephone? May I have your name and (one of your) telephone number(s) just in case I have left something out in this interview? Is this phone located in your own home?
Proportion equals no phone versus has phone. ------.-.------.., --.------.-...,-- - -.- -..-----...... -...._.-.---.------.--- -. -. ------( - .------
139-
Year Proportion Stud'd
1973 0771 1492 GSS 1974 0 . 0790 1478 GaS 1975 0690 1488 GSS 1976 1020 1499 GSS 1977 0813 1525 GSS 1978 0 . 0568 1531 GSS
TEST ESTIMATE CHI PROB Constant 075 plus or minus 0. 0056 23. 001 Linear Trend Weighted Regression :: 5. 0026 (X) R SGuared 0481 Improvement 133 Fit 21. 001 Model: Not constant, not linear
PILL
In some places in the United States, it is not legal to supply birth control information . How do you feel about this-- do you think birth control information should be available to anyone who wants it , or not?
Proportion equals Should be available versus Should not be available and No opinion.
Year P,' or.ortior. Stud!: 1959 O. 7340 1549 AIP0621 1961 o . 7590 1606 AIP0642 1962 o . 7292 1499 HP0662 1963 o . 7475 1624 IF'0671 1964 8141 3528 AIF'0'702 1'765 7477 551 POS655 1974 9120 1484 GSS 1975 8940 1488 GSS 1977 9108 1525 GaS ...... "...... -...... , "" ...... , ...... "...... -...... -. .... "...... , ...... "" ..., ...... -...... ". .... ~~~------. -.. - ..-.-.""'"'''''''''''''''''''''''''''''''''''''''''''''''~~~~ ; (:.!-- ."...... ------.... -...... ,. ..., -...... ~~~ ....""""'...... ,...... ,.... ,...... '...... _------...... --- ...... -...... "" ...... ------::::...... - .. -..'..;). :'...... -. -.,. ...,).:()j:' ...... -::. .- -- --) (? ------(:.(;'",.',...... ,'... ?:' ------:) -----.:: ------. ----......
-140-
TEST ESTIMATE CHI sa PROB ;; plus or minus o 0060 587. . 001 Linear Trend WeiShted Re.ression Y =-20. 53 + 0. 0108CX) R S uared 0. 8985 I Il? rovc-?lTent 524. 1 001 Fi t. 62. 001 Model: Si.nificant Linear COlTporient
PISTOL
Is it a pistol , shotgun , rifle , or what? (asked of all respondents who answered yes to having any guns or revolvers in their .home or garage , see OWGUN)
Proportion equals Yes (the gun or revolver is a pistol) versus No (do not have a gun or it is not a pistol) and Refused.
Y p.:,': r F' rur:, u rt.. i :;; t. Uij ' .... .n. ""'-'- ...... -...... 0.. ..n .-. n.. '00. -''''0-'''-'-''-'''-
:1. 9 1.2'/0 1. 5 () :I 1 I F' CJ ( ) :1. /; :1. '?l) o. 1. j:?O 1. , i(; ' IP07(j4 1966 0,:. :1600 :l4B. ') I F' CJ 7::3 tS'?2 O. :1. jBO :I :: j:,) I F' CJ B 19'/3 :1 ??l :14.:'/ ('J :I ;)74 :1 '/Bl :1.47'':;- i:JS :I 97 O. :I '::,' 1. 1. :t .: :t )IPD925 :I 97 :1 ')1.4 J. l:IIPD926 :L o - 20() ':4J '': I Pc) 9 : :I 9'/6 () - ? :I ' ; 6 :t4B9 GBG :19' 20. i J' (,S
TEST EGTJi"t, CHI SO ,'n...... ,.. .,...... -.. N', ...... "N .... -- ...' .-. .M' ..- ....
Con!:;tant. o. :178 plus Ur' minus o (. (.1 () S . 1 -: - OO:t L. :i. n ?a r T r(; nij Weishted Resression '8,, + C (i()44(X) t= u,, r' :.) (I () + B i :' I mF' Y' OV(':')IYI(,,)nt .::: - 00:1. F:i. 1J . ( 2:1D ..n...... Model: Sisnificant Linear Trend Fits ------_.._. ------.------. - -.. - .------..------...... --..-----.,...... ---..--.- - - -.-.------.------
141-
POLABUSE
Would you approve of a policeman striking a citizen who: Had said vulgar and obscene things to the policeman?
Proportion equa Is Yes versus No (to the particular situation and to any situation , see POLHITOK) and Not sure. Year Proportion ------__0__- StlJj\: 1968 0.1927 1671 BAF.:R I SV 1973 1670 1503 GSS 1975 1490 1485 GSS 1976 1760 1492 GSS 1978 1540 1526 GSS
TEST ESTIMATE CHI PROB Constant 167 plus or minus 0. 0085 13. 009 Lir.ear Trend Weighted Regression Y = 7. 27 - 0. 0036CX) SGIJa red 5952 I n,P roveIYlent o . 004 Fit 139 - --. M- _. '__"M -- -. Model: Signi ficant Linear Trend Fi
POLATTAK
Would you approve of a policeman striking a citizen who: Was attacking the policeman with his fists?
Proportion equals Yes versus No (to the particular situation and to any situation , see POLHITOK) and Not sure. Year Proportion Stud\:
1968 7487 1671 BARF\! SV 1973 7220 1502 GSB 1975 7520 1484 GSB 1976 7770 1492 GSS 1978 7654 1526 ------.. ------...-.------.------..-_. --. ------..--.----- .--... ------.-.....-.. ------.------_. --..--.- - _.- -..- ----..-. -..,.--.. - --- -.----.. -..-.------.----.------..., - - - -...... -- --. -----.. ------..------..------
142-
TEST ESTIMATE CHI SQ PROB -.- M- - Cons tant 754 plus or minus 0. 0098 13. 009 Linear Trend Weishted Resression Y = -4. 29 + 0. 0026 (X) R Sauared 2380 Improvement 067 Fit 10. 016 - ... u- Mode 1: Not constant, not 1 i nea r
POLESCAP
Would you approve of a policeman striking a citizen who: Was attempting to escape from custody?
Proportion equals Yes versus No (to the particular situation and to any situation , see POLHITOK) and Not sure.
Year Proportion StlJd1:
1968 6332 1671 HARRISV 1973 6470 1500 GSS 1975 0 . 6600 1482 GSS 1976 6740 1492 GSS 1978 6468 1526 GSS
TEST ESTIMATE CHI PF.:DB ..0 ..--. -. ___M - - .--..- "0.".'-"M --- CrJnstant 652 plus or minus 0. 0109 1.57 Linear' Tr' end Weishted ReSression Y = -4. 50 + O. 0026(X) R SGuar' 4020 Impr' ovement 093 Fit 277 Model: Constant
POLHITOK
Are there any situations you can imagine in which you would approve of a policeman striking an adult male citizen?
Proportion equals Yes versus No and Not sure. ------==== ------_.------.------_.. - -.-- - -.------.------...... --'------.------.--- -.------
- 143-
Year Proportion Stud ...-..--_u 1968 7226 1662 HARRISV 1973 0 . 7260 1502 GSS 1975 0 . 7320 1475 GSS 1976 7610 1495 GSS 1978 7642 1527 GSS
TEST ESTIMATE CHI PROB Constant 742 plus or minus 0. 0100 13. 012 linear Trend Weishted Resression Y = -7. 76 + 0. 0043(X) R Saua red 6762 Improvement 003 Fit 258 Model: Sisni ficant linear Trend Fi
POLMR
Would you approve of a policeman striking a citizen who: Wa s being questioned as a suspect in a murder case?
Proportion equals Yes versus No (to the particular situation and to any si tuation , see POLHITOK) and Not sure. Year Proportion Stud
1968 0652 1671 HARFn SV 1973 0630 1499 GSS 1975 0 . 0600 1483 GSS 1976 0600 1491 GSS 1978 0623 1526 GSS
TEST ESTIMATE CHI PROB ------oO Cons tant 062 plus or minus 0. 0055 o . 968 linear Trend Weishted Resression Y = 0. 93 - 0. 0004(X) R Sauared 5703 Improvement o . 589 Fit 974 -M .... __'oN Model: Cor.stant ------._- -'-- - ._------======---::------"--.------..-.------'------'-'------()::), ---. ------
144-
POLVIEWSI We hear a lot of talk these days about liberals and conservatives. I' going to show you a seven- point scale on which the political views that people might hold are arranged from extremely liberal-- point I--to extremely conservative-- point 7. Where would you place yourself on this scale?
Proportion equa 1 s liberal versus moderate and conserva ti ve. Year F'roportion StJ.Jd 1973 0 . 3231 1399 NORC4179 1974 3050 1410 GSS 1975 3010 1397 GSS 1976 0 . 2880 1401 GSS 1977 2891 1453 GSS 1978 2822 1435 GSS
TEST ESTIMATE CH I SLt PF:OB
Constant O. 27b P. us or m1nus 190 L inei31' Trend Weishted Regression Y = 15. 13 - 0. 007S(X) : SGu-31' 0.; 8 I iJ,F" r' DVl=lTecit, 6 ., O:L 0 i;:it 0.:. ? o .. ?43 - -M .
i'iode 1 Con':5tant
POL VIEWS 2
We hear a lot of talk these days about liberals and conservatives. I' going to show you a seven- point scale on which the political views that people might hold are arranged from extremely liberal--point l--to extremely conservative--point 7. Where would you place yourself on this scale?
Proportion equals modera te versus libera I and conserva ti ve. Year F'ro?ortiim Studs 1973 3803 1399 NORC4179 1974 4000 1410 GSS 1975 0 . 4000 1397 GSS 1976 3990 1401 GSS 1977 0 . 3882 1453 GSS 1978 3826 1435 GSS ------======------...... , ------
145-
TEST ESTIMATE CHI SQ F'I Constant 0. 392 plus or minus 0. 0106 o .' 7 8 3 Linear Trend Wei.hted Re.ression Y = 1. 85 - O. 0007(X) R SGuared 0. 0214 . I ITP rOVelTient 807 Fi t. 663 Model: Constcmt
POLVIEWYI
We hear a lot of talk these days about liberals and conservatives. I' going to show you a seven- point scale on which the political views that people might hold are arranged from extremely liberal--point l--to extremely conservative-- point 7. Where would you place yourself on this scale , or haven t you thought much about this?
Proportion equals liberal versus moderate and conservative. Year' Proportion Stud 1972 2584 1548 ELEC72 1974 2830 1813 ELEC7 4 :L 976 2410 1909 ELEC7 6 1978 2640 1673 ELEC78 1978 0 . 2982 627 GSS 1978 2519 1-346 NORC4269
TEST ESTIMATE Crii F'ROB o . 020 Constant 262 plus or minus 0. 0093 13. Linear Trertd Weisthted Restression Y = 1. 09 - O. 0004(X) R SGIJsred 0116 :rlTlI rovement -0. 000 Fi t 14.1 o . 007
rtodelt Not. constant no.:t_ l:Lnear
POLVIEW2
We hear a lot of talk these days about liberals and conservatives. I' going to show you a seven- point scale on which the political views that people might hold are arranged from extremely liberal--point l--to extremely conservative--point 7. Where would you place yourself on this scale , or haven I t you thought much about this? ------_----_.------_-'--_.------""------
-146-
Proportion equals moderate versus liberal and conservative. Year F'ro?or'tion StlJd!: 1972 3740 1548 ELEC72 1974 3607 1813 ELEC74 1976 0 + 3772 1909 ELEC7.6 1978 3650 1673 ELEC78 1978 0 + 3812 627 GSS 1978 3990 1346 NORC4269
TEST ESTIMATE CHI F'ROB ii-. Cons tant 0. 374 plu or inus 0. 0102 o . 338 Linear Trend Weisnt' ed Resression Y ' = -3. 8Q + . 0021 (X) R SG'Ja red 1809 111.1" rovetner.t 616 Fit o . 296 Model: Constar..
PORNINF
This mnemonic along with all those that deal with opinions about the effects of pornographic materials (PORNINF, PORNORL , PORNOUT , and PORNPE) are collected under PORNOGRAPHIC EFFECTS which appears alphabetically.
PORNLAW
Which of these statements comes closest to your feelings about pornography laws?
Proportion equals There should be laws against the distribution of porno- graphy whatever the age versus There should be laws against the distribution of pronography to persons under 18 and There should be no laws forbidding the distribution of pornography.
Year Proportion St'Jd1:
1973 4260 1469 GSS 1975 O. 4090 1471 GSS 1976 0 + 4090 1465 GSS 1978 O. 4363 1515 GSS ------.------. ---.-._------_. ._._------.-.-----.--..- ..- -.------.__.------.------
147 -
TEST ESTIMATE CHI sa PROB
Constant 420 plus or minus 0. 0128 o . 345 Linear Trend Weishted Resression Y = -3. 60 + 0. 0020(X) R Saua red 0939 Imp rovemerat 574 Fit 222 Model: Constant
PORNMORL
This mnemonic along with all those that deal with opinions about the effects of pornographic materia Is (PORNINF , PORNORL , PORNOUT , and PORNPE) are collected under PORNOGRAPHIC EFFECTS Which appears alphabetically.
PORNOGRAPHIC EFFECTS
The next questions are about pornography-- books , movies , magazines , and photographs that show or describe sex activities. m going to read some opinions about the effects of looking at or reading such sexual materials. As I read each one , please tell me if you think sexual materials do or do not have that effect.
PORNINF Sexual materials provide information about sex.
Proportion equals Yes versus No and DR.
Year roportion StlJd
1970 6100 2486 f.:AC 1973 6190 1499 GSB 1975 6220 1486 1976 0 . 5650 1493 GSB 1978 6141 1529 GSS ------'------.------.------
148-
continued from PORNOGRAPHIC EFFECTS
TEST ESTIMATE CH I PROB Cons tant 607 plus or minus 0. 0106 13. 009 Linear Trend Weighted Regression 40 - 0. 0014(X) R SUIJared 0481 I ITIP rovement O. 560 Fit 12. 005 Hodel: Not constant, not linear
PORNORL
Sexual materials lead to breakdown of morals.
Proportion equals Yes versus No and DK.
Year Proportion Stud,=
1970 0 . 5600 2486 RAC 1973 0 . 5290 1500 GSS 1975 5140 1487 GSS 1976 5500 1490 GSS 1978 5690 1529 GSS
TEST ESTIMATE CHI sa PROB Constant 546 plus or minus 0. 0108 13. 010 Linear Trend Weighted Regression 97 - 0. 0002(X) R Suua red 0137 Improvement -0. 1 . 000 Fit 13. O. 004 Hodel: Not constant, not linear
PORNOUT
Sexual materials provide an outlet for bottled-up impulses.
Proportion equals Yes versus No and DK. ------.------.------.------.------.------.-----..-.- ---.------....-.------_.------.-., - --- .-.-.-_.------....,.-.-...... -..------.-.--.. -- -..-- -. -- .....--.--.------.-.(-:.::: -- --.-.-. ------
149- continued from PORNOGRAPHIC EFFECTS
Year F'roportion Stud!: ..n'",'''''''''''' 1970 0 . 3400 2486 RAC 1973 5470 1499 GSS 1975 0 . 5630 1485 GSS 1976 5560 1491 GSS 1978 5887 1527 GSS
TEST ESTIMATE CHI F'ROB Cons tant 494 plus or minus 0. 0106 388. 001 Linear Trend Weishted Resression Y =-63. 66 t o. 0325 ( X) R SalJared 7721 Improvement 322. 001 Fit 66.1 001 Model: Sisnificant Linear Component
PORNRPE
Sexual materials lead people to comit rape.
Proportion equals Yes versus No and DK.
Year F' T' OPO rt i Stud!:
1970 o . 4900 2486 RAG 1973 O. 5000 1495 GSS 1975 5200 :1484 GSS 1976 5270 1492 GSS 1978 5674 1528 GSS
TEST ESTIMATE CH I PROB Constant 518 plus or minus 0. 0108 25. 001 Linear Trend We i shted Res ress i on Y =-16. 61 t 0. 0087(X) R Saua red 8745 Improvement 22+ 001 Fit 389 _H ....-.. - H- --. - -. - .N._- - Model: Si9ni ficant Linear Trend Fi ------.. ------.. ------.... ------....------.(.:: . - ---
150-
PORNOUT
This mnemonic along with all those that deal with opinions about the effects of pornographic materials (PORNINF , PORNORL , PORNOUT , and PORNPE) are collected under PORNOGRAPHIC EFFECTS which appears alphabetically.
PORNPE
This mnemonic along with all those that deal with opinions about the effects of pornographic materials (PORNINF , PORNORL , PORNOUT , and PORNRAPE) are collected under PORNOGRAPHIC EFFECTS which appears alphabetically.
POSTLIFE
Do you believe there is a life after death?
Proportion equals Yes versus No and DK.
Year Proportion Stud!: 1944 7579 2528 AIf'0335 1957 7447 1618 AIP0580 1960 7370 2977 AIP0625 1968 7320 1536 AIP0764 1973 6990 1504 GSS 1975 6720 1488 GSS 1976 7160 1498 GSS 1978 6992 1529 GSS
TEST ESTIMATE CH I f'ROB Constant 726 plus or minus 0. 0074 50. 001 Linear Trend Wei hted Re ression Y = 4. 57 - 0. 0020 (X) R SGuared 7227 Improvement 38. 001 Fit 11. 071 Model: Si nificant Linear Trend Fits ------.------.-.------. ------. - .----- _. - .... ------""""""--...... ------.-....-... ------:,( ------. - - --
151-
PRAYER
The United States Supreme Court has ruled that no state or local government may require the reading of the Lord' s Prayer or Bible verses in public schools. What are your views on this--do you approve or disapprove of the court ruling?
Proportion equa 1 s Approve versus Disapprove and No opinion.
Year Proportion StIJQ!: 1971 2758 1494 AIF'0838 1974 0 . 3080 750 GSS 1975 3540 1487 GSS 1977 3346 1527 GSS
TEST ESTIMATE CHI PROB R"'- -.... Cons tant 318 plus or minus 0. 0128 24. 001 Linear Trend Wei hted Re ression Y ::-22. 03 + 0. 0113(X) R Sauared 6969 I IIP rovellent 17. 001 Fit o . 033 Model: Si ni ficant Linear Component
PREMARSX
There s been a lot of discussion about the way morals and attitudes about sex are changing in this country. If a man and a woman have sex relations before marriage , do you think it is always wrong, almost always wrong, wrong only sometimes , or not wrong at all?
Proportion equals Always wrong and Almost always wrong versus Wrong only sometimes , Not wrong at all , and DK.
Year- Proportion StIJQ!:
1972 4650 1602 GSS 1972 0 . 4678 1460 NOHC5046 1974 4430 1477 GSS 1975 4155 1485 GSS 1977 3947 1520 GSS 1978 0 . 4005 1528 GSS --.....------.------.------.------.------: ------.------
152-
TEST ESTIMATE CHI sa F'ROB Constant 431 plus or minus 0. 0104 32. 001 Linear Trend Weishted Resression Y = 24. 83 - 0. 0124CX) SGIJa red 9358 Improvement 29. 001 Fit 729 Model: Sisnificant Linear Trend Fits
PRES68
Did you vote for Humphrey, Nixon , or .Wallace? (asked only of those who indicated that they voted in the 1968 presidential election , see VOTE68) proportion equa 1 s Nixon versus Humphrey, Wallace and Other.
Year Proportion Stud !: 1968 0 . 4762 1029 ELEC68 1970 4882 1063 ELEC70 1972 5094 1696 ELEC72 1972 4740 1009 GSS 1973 4530 899 GSS
TEST ESTIMATE CHI PROB Constant 484 plus or minus 0. 0132 071 Linear Trend Weishted Resression Y = 0. 73 - 0. 0001 CX) R SGIJa red 0273 Improvement -0. 1 . 000 Fit o . 029 Model: Constant
PRES 72
Did you vote for McGovern or Nixon? (asked only of those who indicated that they voted in the 1972 presidential election , see VOTE72)
Proportion equals Nixon versus McGovern and Other. ------..------..------.------. ----.-. ----_.------_. .--.._- -- -..--....-- ..__..-...-.----...... -....-.....------.....-...... ---.-.....- - --.-- .._.----.. - -- _._------.- ---..------
153-
Year Proportion Stud!: 1972 6287 1624 ELEC72 1973 0 . 5840 :1015 GSS 1974 0 . 5730 977 GSS 1975 6140 923 GSS 1976 6332 1805 ELEC76 1976 5910 920 GSS 1977 6148 893 GSS
TEST ESTIMATE CHI PROB _M-__. -. Constant 610 plus or minus 0. 0108 16. 012 Linear Trend Wei hted Re ression Y = -1. 37 + 0. 0010(X) R SGuared 0230 Improvement '-0. 1 . 000 Fit 17. 005 "N -.,-.- M.. __'MM Mode 1: Not constant, not 1 i nea r
PRES 76
Did you vote for Carter or Ford? (asked only of those who indicated that they voted in the 1976 presidential election, see VOTE76)
Proportion equals Ford versus Carter and Other candidates.
Year Proportion Stud!: 1976 4793 1663 ELEC76 1977 4407 969 GSf 1978 0 . 4540 956 GSS
TEST ESTIMATE CHI PROB -- --.,...- __..0- ....M" '__OM. Cons tant 462 plus or minus 0. 0166 132 Linear Trend Wei hted Re ression Y = 30. 01 - 0. 0149(X) SGIJa J' 4157 Improvement 2.1 142 Fit O. 163 Model: Constant ------.------.------...... ------'------.------.-.-----. ------."'------
IS4-
PRESTIGE
Prestige of respondent s occupation. (coded from OCC using the Hodge-Siegel-Rossi scale)
Proport ion equals 40 to 89 versus 0 to 39.
Year Propor-tion StlJd
1972 4730 1447 GSS 1973 4770 1332 GSS 1974 4960 1351 GSS 1975 4710 1349 GSS 1976 0 . 4620 GSS 1977 4386 1416 GSS 1978 4929 1404 GSS
TEST ESTIMATE CHI PROB
Constant 473 plus or minus 0. 0102 12. o . 048 Linear Trend Wei hted Re ression Y = 4. 07 - 0. 0018(X) R Sauared o . 041 7 r IrP rovement 523 Fit 12.1 032
Model Not constant, ,not 1 inear
PRETEEN
Number of members in household 6 to 12 years.
Proportion equals one or more versus none.
Year Proportion Stud
1972 2810 1613 GSS 1973 2680 1504 GSS 1974 2820 1484 GSS 1975 2440 1490 GSS 1976 0 . 2390 1497 GSS 1977 2403 1519 GSS 1978 2435 1532 GGS ------..--.- ..-.- --.-----""-'''. --.--.. --.------( - -. ----
ISS-
TEST ESTIMATE CHI sa PROB ---__M ---. ------.. 'N'__- Constant 256 plus or minus 0. 0085 17. 007 Linear Trend Weishted ReSression Y = 15. 01 - 0. 0075(X) R Saua red 6983 Improvement 12. 001 Fit 375 -----.- M__------Model: Sisnificant Linear Trend Fits
QUALITIES OF CHILDREN
The qualities listed on this card may all be important , but which three would you say are the most desirable for a child to have?
Which one of these three is the most desirable of all?
All of the qualities listed on this card may be desirable , but could you tell me which three you consider least important
And which one of these three is least important of all?
AMICABLE That he gets along well with other children.
Proportion equals Most and one of Three Most Desirable versus Not Mcntioned, Least , and one of Three Least Desirable.
Year Proportion Stud!: 1973 1630 1500 GSS 1975 1390 1480 GSS 1976 1350 1489 GSS 1978 1112 1520 GSS ------.------.------.... ------.------..------.------:------.------
156- continued from QUALITIES OF CHILDREN
TEST ESTIMATE CH I PROD ---."" _N -'R"'- -. -.,.. -- - M.._M Constant 135 F-lus Dr minus 0. 0088 17. 001 Linear Trend Weishted Regression Y = 20. 14 - 0. 0101(X) R SGua J' 9856 I ITF- rovelJ.ent 17. 001 Fit O. 885 Model: SiSni ficant Linear Trend Fi
CLEAN
That he is neat and clean.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least, and one of Three Least Desirable.
Year ProF-ortion StlJd\: 1973 0 . 0880 1500 GSS 1975 0740 1480 GSB 1976 0720 1489 GSS 1978 0 . 0895 1520 GSS
TEST ESTIMATE CHI PROD
Cons tant 080 F-lus Dr minus 0. 0070 165 Linear Trend Weishted Regression Y = -0. 27 + 0. 0002(X) R SGlJ3red 0022 ImF-rovement 1 . 000 Fit 076 Model: Constant
CONSIDER
Tha t he is considerate of others.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and one of Three Least Desirable.
Year ProF-ortion StlJd\:
1973 2850 1500 GSS 1975 2840 1481 GSS 1976 2830 1490 GSS 1978 2697 1520 GSS ------.------.- ---.------. - -.-. -- ..------.-.--. ------.------..-....-..-.-.... -.------'------.------.-..------.------.- -_.-.-
IS 7- continued from QUALITIES OF CHILDREN
TEST ESTIMATE CHI sa PROB Constant 280 plus or minus 0. 0116 762 Linear Trend Weishted Resression Y = 6. 21 - 0. 0030(X) R Sa/Jared 7437 Improvellent 650 Fit 863 Model: Constant
CONTOL That he has self-control.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and one of Three Least Desirable.
Year Proportion StlJd 1973 O. 1780 1500 GSS 1975. 1900 1480 GSS 976 O. 1720 1490 GSS 1978 1875 1520 GSS
TEST ESTIMATE CHI PROB Constant 182 plus or minus 0. 0100 2.1 551 Linear Trend Weishted Resression Y = -2. 06 + 0. 0011(X) R Saua red 0796 I IfIP rovement 686 Fit 622 MM-.--.-- H"- "ode 1: Constant
HONEST
That he is honest.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least, and one of Three Least Desirable.
Year Proportion Stud 1973 6480 1500 GSS 1975 7030 1481 ass 1976 0 . 6750 1491 GSS 1978 6914 1520 ass ------.------.------..- - - -.---.------.------.--.------.------.-.------..------.---.::-:------. ------
158- continued from QUALITIES OF CHILDREN
TEST ESTIMATE CH I S( PROB -. - -'M_R - .M. HM Constant 680 plus or minus 0. 0120 11.6 o . 009 Linea l' Trend Wei hted Re ression Y =-13. 34 + O. 0071(X) R Saua red 4033 I "IP roveITent 032 Fit 028 Model: Si nificant Linear COITPonent
'INTEREST
That he is interested in how and why things happen.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned, Least, and one of Three Least Desirable.
Year Proportion StlJj\:
1973 O. 1950 1500 GSS 1975 O. 1400 1480 GSS 1976 1890 1489 GSS 1978 1428 1520 GSS
TEST ESTIMATE CHI F'ROB 'M' 'N' Constant 164 plus 01' minus 0. 0095 27. 001 Linear Trend Wei hted Regression Y = 16. 03 - O. 0080 ( X R SGUS red 3351 Imp rovement 003 Fit 19. 001 Model: Significant Linear' CORiPonent
JUDGMENT
That he has good sense and sound judgment.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and one of Three Least Desirable.
YesI' Proportion StlJd\:
1973 3790 1500 GSS 1975 3420 1481 GSS 1-976 3980 1490 GSS 1978 3724 1520 GSS ------' ------.------.------_.------.------.------..---....------.----.------.-.------.-----.....-..------.-.--..... --....------"------..------.-----.------..- -- ....
IS9- continued from QUALITIES OF CHILDREN
TEST ESTIMATE CH I PROB Constant 372 plus or minus 0. 0125 10. 015 Linear Trend WeiShted Resression Y = -1. 37 + 0. 0009(X) R SQuared 0062 Improvement o . 800 Fit 10. 006
Hodel Not constant, not linear
MANNERS
That he has good manners.
roportion equals Most and one of Three Most Desirable versus Not Mentioned Least, and one of Three Least Desirable.
Year Proportion Stud 1973 2410 1500 GSS 1975 2580 1481 GGS 1976 2120 1488 GSS 1978 2579 1520 GSS
TEST ESTIMATE CHI PROB OOM Cons tant 241 plus or minus 0. 0110 12. o . 008 Linear Trend Wei hted Re ression Y = -2. 40 + 0. 0013(X) R SGuared 0202 Improvement 696 Fit 11.8 003 Modell Not constant, not linear
OBEYS
That he obeys his parents well. Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least, and one of Three Least Desirable.
Year' Proportion Stud 1973 2770 1500 8SS 1975 3330 1481 GSS 1976 0 . 2980 1490 GSS 1978 3066 1520 GSS ------""-----.---..------. ------.------..-.....-.-.... --....- . ------.. --- --.------
160-
continued from QUALITIES OF CHILDREN
TEST ESTIMATE CHI SQ PROB 'M' Cons tant 303 plus or minus 0. 0119 11. 010 Linear Trend Weighted Regression Y = -8. 71 + 0. 0046 (X) R Saua red O. 1520 IIT?rovelTent o. 158 Fit o . 009 -- - - __M- Hade 1: Not constant, not linea
RESPONSI
That he is responsible.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and one of Three Least Desirable.
Year Pro?ortion Stl.Jd
1973 0 . 3060 1500 8SS 1975 0 . 3200 1480 GSS 1976 0 . 3340 1489 GSS 1978 0 . 3263 1520 8SS
TEST ESTIMATE CHI F'ROB -- _M Constant 321 ?lus or minus 0. 0121 594 Linear Trend Weighted Regression Y = -8. 47 + 0. 0045(X) R SalJ3 red 6089 I ITP roveRlent 177 Fit o . 576 Hodel: Constant
ROLE
That he acts like a boy (she acts like a girl).
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and one of Three Least Desirable.
Year Proportion Stl.d
1973 0470 1500 GSS 1975 0 . 0390 1481 GSS 1976 0470 1490 GSS 1978 0 . 0336 1520 8SS ------..----...' ------'------.------.---- .------.--- -.----.-.-- - - -.------.-.------'------....------,-,....,-,...-...... - -. -..------.------'-'------. ------.------
161-
continued from QUALITIES OF CHILDREN
TEST ESTIMATE CHI SO F'ROB ' "W'- Cons tant 041 plus or minus 0. 0051 159 Linear Trend Wei hted Re ression Y = 4. 81 - 0. 0024(X) SOIJa red 5197 Improvement o . 083 Fit 328 Model: Constant
STUDIOUS
That he is a good student.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and, one of Three Least Desirable.
Year Proportion Stud!: ..H""""'''' 1973 0510 1500 GSS 1975 0460 1481 GSS 1976 0490 1490 GSS 1978 0487 1520 GSS
TEST ESTIMATE CHI PROB Constant 049 plus or minus 0. 0056 937 Linear Trend Wei hted Re ression Y = 0 . 66 - 0. 0003 (X) R SOIJared 1117 Improvement o . 836 Fit o . 832 _oo Model: Constant
SUCCESS
That he tries hard to succeed.
Proportion equals Most and one of Three Most Desirable versus Not Mentioned Least , and one of Three Least Desirable.
Year Proportion Stud!:
1973 1370 1500 GSS 1975 1180 1481 GSS 1976 1250 1491 GSS 1978 1461 1520 GSS ------.------' ------.------. -..------.-- --.------...... ------.------._------.(------. ------
162-
TEST ESTIMATE CHI sa PROB
Constant 131 plus or minus 0 0087 0+ 105 Linear Trend Weishted Resression Y = -3. 77 + 0. 0020 (X) R SGuared 1126 Improvement o . 559 Fit o . 062 ---- ___"M Model: Constant
QUITSMK
Have you ever tried to give up smoking? (asked only of those who indicated that they do smoke , see SMOKE)
Proportion equals Yes versus No.
Year Proportion Stud!:
1960 0 . 5210 1143 NORC428 1978 6878 599 GSS
TEST ESTIMATE CHI PROB Cons tant 584 plus or minus 0. 0233 48. 001 Linear Trend Weighted Regression Y =-17. 64 + 0. 0093(X) R Saua red 1 . 0000 I IT,P rovement 48. 0':: . 001 Fit 1 . 000 Hodel: Significant Linear Trend Fits
RACDIN
How strongly would you object if a member of your family wanted to bring a (Negro/Black) friend home to dinner? Would you object strongly, mildly, or not at all? (asked only of non-Blacks)
Proportion equals Not at all versus Strongly, Mildly, and DK. ====------" ------. ---.- --. - - ---.. - -- -.------.....-...--.....----..------.--.-.(-: -. -- --
163-
Year Proportion Stl.j\: 1963 5004 1351 SRS330 1966 5155 1325 SRS889A 1970 6305 1261 SRS4100 1972 6970 1348 GSS 1972 6978 1241 NORC5046 1973 6820 1313 GSS 1974 7200 1310 GSS 1976 7050 1365 GSS 1977 7109 1349 GSS
TEST ESTIMATE CHI F'ROB MO' Constant 657 plus or minus 0. 0086 326. 001 Linear Trend Weishted Resression Y =-33. 47 + 0. 0173(X) R SQuared 8794 In,provement 283. 001 Fit 42. 001 Model: Sisnificant Linear Component
RACE 18
Respondent s race. (coded by interviewer)
Proportion equals Black versus White and Other.
Year Proportion Stud\:
1972 0.1620 1609 GSS 1973 1230 1491 GSS 1974 O. 1170 1477 GSS 1975 1090 1490 GSS 1976 0860 1499 GBS 1977 1150 1530 GBB 1978 1031 1532 GSS ------. ------.- -.... - _._------.--.------: ------.-. --
-164-
TEST ESTIMATE CHI sa F'ROB Constant 114 plus or minus 0. 0061 45. 001 Linear Trend Weishted Resression Y = 15. - 0. 0076(X) R SCHJared 5441 Improvement 22. 001 Fit 23. 001 - - -..oo 00- -..- _00.-- --.-.- 00_- _oo -_oo Model: Sisni ficant Linear Component
RACHOME
During the last few years , has anyone in your family brought a friend who was a (Negro/Black) home for dinner? (asked only of non-Blacks)
Proportion equals Yes versus No and DK.
Year F' ropo rt i on r,I.ld ''''__00'''''' 1973 O. 1990 1310 8SS 1974 2250 1305 8SS 1976 2280 1362 8SS 1977 2320 1349 8SS
TEST ESTIMATE CHI sa PROD ------_____-00"- ----.. Constant 221 plus or minus 0. 0114 144 Linear Trend Weishted Resression Y =-13. 71 + 0. 0071(X) R Saua red 7110 Improvement o . 046 Fit o . 523 Model: Constant
RACIAL INTEGRATION OF SCHOOLS
RACFEW
Would you yourself have any objection to sending your children to a school where a few of the children are (Negroes/Blacks)? (asked only of non-Blacks) ------.....------.. ------''' ------.-- - --..------..-.--..--. - --. -.-.- -- -.. - -....------..--- -.... ------
16S-
Proportion equals No versus Yes and DK.
Year Proportion Stud!:
1972 9190 1351 GSS 1974 9430 1295 GSS 1975 9160 1326 GSS 1977 9237 1350 GSS 1978 9423 1368 GSS
TEST ESTIMATE CHI PHOB Constant 931 plus or minus 0. 0062 14. 007 Linear Trend Weishted Resression == -3. 08 + 0. 0020(X) R SCiuared 0.1351 IlTlProvement O. 197 Fit 12. o . 006 Model: Not constant, not linear
RACFEWI
Would you yourself have any objection to sending your children to a school where a few of the children are (Negroes/Blacks)? (asked only of non-Blacks with children)
Proport ion equa Is No versus Yes and DK.
Year F'r' oportion StudIJ 1958 7424 629 AIF'0604 1959 7965 634 AIF'0610 1963 0 . 7778 639 AIPO()73 1965 0 . 8522 582 AIP0710 1965 8115 610 AIP0712 1966 8757 571 AIF'0728 1969 0 . 8836 550 AIF'0784 1970 0 . 9206 529 AIP080l 1970 0 . 8990 566 AIP0804 1972 0 . 9402 535 GSS 1973 9180 449 AIP0875 1974 0 . 9553 492 GSS 1975 9260 539 AIF'0936 1975 9471 473 GSS . 1977 9272 481 GSS 1978 9401 484 GSS ------..------.------: -:------.. ------
-166-
TEST ESTIMATE CH I PROB -- _8 - Cor/stant 903 plus ar minus 0. 0062 325. 001 Linear Trend Weishted ReSression Y =-18. 41 + 0. 0098(X) R SO/Ja red 8624 I "IP rove,,/ent 266 . 5 .:; .001 Fit 58. 001 7-- --.--- Model: SiSnificant Linear Component
RACHAF
Where half of the children are (Negroes/Blacks)? (asked only of non-Blacks)
Proportion equals No versus Yes , DK, and Yes on RACFEW.
Year Proportion StlJd!: 1972 7400 1347 GSS 1974 0 . 6880 1292 GSS 1975 6900 1321 GSS 1977 7372 1343 GSS 1978 7396 1367 GSS
TEST ESTIMATE CHI PROB Cons tant 721 plus or minus 0. 0110 19. 001 Linear Trend Weishted ReSression Y = -4. 57 + 0. 0027(X) SOlJa red 0640 Improvement 307 Fit 18. 001 Model: Not constant, not linear
RACHAFl
W11ere half of the children are (Negroes/Blacks)? (asked only of non-Blacks with children)
Proportion equals No versus Yes , DK , and Yes on RACFEWI. ----====------._------.----.-.--.------.------.------....-..-....------.------_._------.:::-:....,:; - - ---.-. -- --
167-
Year roportion Stl.Jd!: 1958 4850 629 AIF'0604 1959 5284 634 AIF'0610 1963 4841 628 AIF'0673 1965 5820 582 AIF'0710 1965 5750 610 AIF'0712 1966 0 . 5730 571 AIF'0728 1969 6180 550 AIF'0784 1970 6860 529 AIF'0801 1970 6700 566 AIF'0804 1972 7472 534 GSS 1973 6440 449 AIF'0875 1974 O. 6680 491 8SS 1975 6460 539 AIF'0936 1975 7134 471 8SS 1977 7432 479 8SS 1978 7562 484 GSS
TEST ESTIMATE CHI F'ROB
Cons tant 633 plus or minus 0. 0101 298. 1 001 Linear Trend Weighted Regression Y =-25. 40 + 0. 132(X) Sal.Ja red 8229 I RIP rovemer.t 245. 001 Fit 52. 001 Model: Significant Linear Component
RACMOST
Where more than half of the children are (Negroes/Blacks)? (asked only of non-Blacks)
Proportion equals No versus Yes , DK, Yes on RACFEW , and Yes on RACHAF.
Year roportion Stl.Jd!: 1972 4190 1340 8SS 1974 0 . 3530 1287 8SS 1975 0 . 3720 1316 8SS 1977 3855 1341 8SS 1978 4214 1362 8SS ------""-"'''-'------_.------.----.------_. ------(.(:: . ----
168-
TEST ESTIMATE CHI SQ PROB Constant 390 plus or minus 0. 0119 19. 001 Linear Trend Weighted Regression Y = -2. 81 + 0. 0016(X) R SQuared 0153 Improvement 571 Fit 19. 001 Model: Not constant, not linear
RACMOSTl
Where more than half of the children are (Negroes/Blacks)? (asked only of non-Blacks with children)
Proportion equals No versus Yes , DK, Yes on RACFEW1 , and Yes on RACHAF1.
Year Proportion StlJd': 1958 3160 629 AIP0604 1959 2970 634 AIF'0610 1963 2672 625 AIP0673 1965 0 . 3180 582 AIP0710 1965 3160 610 AIP0712 1966 3240 571 AIP0728 1969 3455 550 AIP0784 1970 O. 3440 529 AIP0801 1970 3730 566 AIP0804 1972 4253 529 GSS 1973 0 . 3100 449 AIP0875 1974 3333 489 GSS 1975 3840 539 AIP0936 1975 2992 528 GSS 1977 3591 479 GSS 1978 3913 483 GSS
TEST ESTIMATE CHI PROB Constant 334 plus or minus 0. 0100 61.4 001 Linear Trend Weighted Regression Y = -7. 21 + 0. 0038(X) R Sauared 3276 I RtP rovement 21. 001 Fit 40. 001 Model: Sisni ficant Linear Component .--...... (,...... ,...... ,--, . .. '::' '" .." ,-...?' .?;)()j:,:):),;)? ;..':":) ::;. """""" " ,,,,"'."""', ...... ,...... ::;:):;"::,:) ..:'::;;:.,.':::.:,. ,:: . : . , . ",''''''''''';::: ','''''...,. '''',,,,,,
169-
RACLIVE
Are there any (Negroes/Blacks) living in this neighborhood now? (asked only of non-Blacks)
Proportion equa Is Yes versus No and DK.
Yf:!a f' F' r 0 F D r tiC) 1"1 St.. U i,...... - .-...... n...... '.. ...-.... u. "".n"'"',,''''' no. .u n ...... 1966 o . j 0 .l : :::)I' ::::)uU".:/j. :1. 9/0 !.90:l :I ;: 5 B ::::; F b 4 .L () () :1. '))'72 2B60 J :' j J. Ij:::i:::) 19/ (). 290 CH:::;.i :1.9/3 2906 64' L 1\1 :1.'Yl3 ;?t: ::. i\ :L 9/:3 O. 29 6:1, Ci" :1. 9/3 3727 644 C i" :L'i'73 3i: J'1 )3J. :;6 :I 9'73 3B66 6!:JI: Ci\IU? :L9T3 30Bh )'00 Ci' :;n :L 9'7:3 3'F?O :1. 13S 19/4 32Jf: Ci" U.i (:! :L'i'74 0,. 3009 Ci\iU.i . :1.(Yl4 o . :3 :1. )9' J.. r :1.9/4 o . 4?)O J:3 J.) C:lr: 1 ())? 0,. :'3290 :)h :L9?6 4;?40 :I ;- C':ibb I(??? o . ::3'/4 J :I ;' i() :)h 19?EJ )4B :I : 3;' C:,bb
TEE;T C ::::r I i'i(.1 T E: CHL :::;0 F:UD .M. ,.MM".- 'M' ..,. N"'_'- ...."N M" ...... ,...... ,...... "...... N' ......
CDn :;tant 6 F" ., 1.',:. CJ l' In I nl. () .:. I) 0 (:) () 0 1 L.if'f: aT' TV' f?ncJ Wei hted Re ressi en Y :;::",,37. + O, Ol':?l';\. 1:;' ;, 1::' UaT' f:!d l.J J...J I /YP l' CJ V (.,!IYI f,) 1" I.) () 0 :I Fit 1 :.";G" :.": 00:1 'M' ,- .., ...... -...... - ... ..- MOo-. 'M, ..,. "M M.. "" .... .'M N...... 'M'...... 'M...... - .... ,n""'"",,," ...... "'W...... ,...... p' ..., ..., N" ...... - "" .,.. .M' .... MC)d ?l: S:L :ln:i. f' ie-al"t Im il"i'?i: r C(::mF");'f'I"'
RACMAR
Do you think there should be laws against marriages between (Negroes/ Blacks) and whites? (asked only of non-Blacks)
Proportion equals No versus Yes. ------...---.-----'.'------. ------_.------....------'-. ------.--:.;--- . ----
170-
v... -. -. Yea r F' 1'0':0 rt ion Stud 1963 3745 1351 SRS330 1968 4324 1258 SRS4050 1970 4769 1258. SRS4100 1972 6070 1309 GSS 1973 6210 1289 GSS 1974 0 . 6550 1280 GSS 1975 6138 1292 GSS 1976 7158 1330 GSS ?77 7174 1327 GSS
TEST EST rMATE CHI PROS
Constant 586 plus or minus 0. 0088 702 + 001 Linear Trend Weishted Resression Y =-52. 05 + 0267() F\: S( (.Ja T 9196 I ITIF'rovelTlerd 64' .; 001 F: i. 53 + .::: .; 001
Modal: Si. ni.ficant Linear Component
RAe OPEN
Suppose there is a comunity-wide vote on the general housing issue. There are two possible laws to vote on. Which law would you vote for? (asked only of non-Blacks) Proportion equa Is The second law says that a homeowner cannot refuse to sell to someone b cause of their race or color versus One law says that a homeowner can decide for himself who to sell his house to , even if he prefers not to sell to (Negroes/Blacks), Neither , and DK.
Year ropo rt i on StlJd
1973 3410 1314 GSS 1'975 3400 1325 GSS 1976 0 . 3460 1363 GSS 1978 0 . 3683 1371 GSS ------.------....-....------'------"------.------'------....-...... -....------.------_..---.- - --.------.::- (.::: -- --- .------.---. ------
171-
TEST ESTIMATE CH I F'ROB Cons tant 349 plus or minus 0. 0130 376 Linear Trend Weishted Resression Y =-10. 50 + 0. 0055(X) R Saua red 7418 Improvement 125 Fit 674 Model: Constant
RACPRES
If your party nominated a (Negro/Black) for President , would you vote for him if he were qualified for the job? (asked only of non-Blacks)
Proportion equals Yes versus No and DK.
Year F' ropo rt i on StUl:i':
1958 0 . 3775 1510 AIF'0604 1959 4865 1523 AIF'0622 1961 5170 1532 AIF'0649 1963 4953 1579 AIP0676 1965 5906 1590 AIF'0714 1967 5355 :L AIP0744 1969 6714 1634 AIP077!.) 1971 6959 1503 AIP0838 1972 6920 1349 GSS 1974 7810 1308 GSS 1975 7690 132"7 Gce:;:h) 1977 7476 1347 GSS 1978 7993 1360 GSS
TEST ESTIMATE CHI PROB Constant 639 plus or minus 0. 0067 1514. 001 Linear Trend Weishted Resression Y =-37. 08 + 0. 0192(X) R Saua red 9234 Improvement 1402. 001 Fit 111. 001 - - MOO- - - Model: Sisnificant Linear Component ------...... ,...... "..------...... ----....--..- ().--"(' ------.... ------.-.------.- --. - -..------...... -.-...... '...... ------_...... _.._ - ::!-- :: ------.------
172-
RACPRESI
If your party nominated a (Negro/Black) for President , would you vote for him if he were qualified for the job? (asked of all respondents)
Proportion equals Yes versus No and DK.
Year F'f' opof'tion Stl.Jd\:
1974 0 . 7985 1479 GSS 1978 0 . 8148 1517 GSS
TEST ESTIMATE CHI F'ROB
Constant 807 plus or minus 0. 0144 1.3 o . 259 Linear Trend Weighted Regression Y = -7. 22 + 0. 0041 (X) R Sal.Jared 1 . 0000 Imp roveRlent 1.3 259 Fit 1 . 000 Model: Constant
RACPUSH
Here are some opinions other people have expressed in connection with (Negro/Black)-white relations. Which statement on the card comes closest to how you , yourself , feel? (asked only of non-Blacks)
(Negroes/Blacks) shouldn t push themselves where they re not wanted.
Proportion equals Disagree slightly and Disagree strongly versus Agree strongly, Agree slightly, and No opinion.
Yf. a T' OF'D rt i C)rt btud\:I 0'''''-'-'''' ...0...... '",,,,,,,,,,,,,,,,,
196:3 2226 :L:' :; f 19b6 2:1 ())3 1 :: 2'? !:;f nBB91 1 (j16B o . ::! 0 7 ::j :L2 ,'B !:;f S40 ,'0 1970 o . 1 :':i :' 1260 !:f ;41 00 1972 2270 1346 GSS :1. o . 4020 1290 NOIi:C5046 :L 973 2600 13:1. C;SS 19nj 241:0 :1. 321 1976 o . ::) B :' ; 0 :1. 363 C;SS :L 977 26:' 134' C;SS ------....- -.. "'- -" -...------... -.------.,.. -- ... ------======------...... ------_.. '.- -...... ------.." .... -., ...... ,.' ..-.... '..' -.. -,.. .,.. .." .... ------...... ,...... ,..''''''''''''',''''''''''''------'" .."""""",",...... ------.--.. ,-. ",----- .", ...... ".------. '. ..""''''''''''''''-'''''''''''''''''''- .:;.:;:.:::.:;.:::----, + .,. . ---''''-'
173-
TEST ESTIMATE CH I :;G F'r;:DB - - -. N.. n" 'N' 'OM.,., 'N. _...... , .,.. .". -...... - ...... 'M' 'ON,-.' .... 'M' ..-, .... '... .-.. '...... Conf.;t.ant 241 plus Dr minus 0, 0074 001 Linear TT' f?ncl Weighted Regression Y =-10. 63 + 0. 0055(X) SW..ar(,?c! (). :I 47(? I "IF' rDVelTlf. 6, 0 (11 Fit. 209 00 J -- "M 'M. ..,. 'M' .... "- -... MO. 'M' ..,- '.., -,.. ..., ... Model: Significant. Linear ComPDnent
RACSCHOL
Do you think white students and Negro students should go to the same schools or to separate schools? (asked only of non-blacks)
Proportion equals Same schools versus Separate schools and DK.
'fear ProPortion Stud:!
1942 3000 3587 NORC113 1956 4900 1224 NOF:C386 1956 4900 1275 NORC390 1956 4800 1'".rO NORC393 1963 6269 1340 NORC160 1963 6171 1 :l91 SRS350 1964 0 . 6225 1314 SRS630 1964 6025 1726 SRS7 60 1965 0 . 6724 1288 SHG857 1965 6830 1309 3868 :L970 7363 1255 SRS4100 1972 8472 1342 GSS 1972 8294 :L225 N()F C5046 1976 - 0. 8255 1358 8SS 1977 8602 1323 GGS
TEST ESTIMATE CHI F'HOB
Constant 643 plus Dr ffinus 0. 0059 4034. OOl Linear TT'end Wei hted Regression Y =-32. 31 + O. 0168CX) R St ua red 9651 I ITIP T'ovement 3920. 001 Fit 114. 001 Model: Significant Linear Component ----...... :/.-. ,...- ..,. _. ..- "" ...... -,...... ,....,...... ------)() ,...... -.- ....,...... ,...... ------.----- ;:. ('::: ...... ,- .'." .-......
174-
RACSCHOLI
Do you think white students and Negro students should go to the same schools or to separate schools?
Proportion equals Same schools versus Separate schools and DR.
Ye ,:IT' F' l'OPD rt i c)n ntud':! .....h...... '-0' 19b:3 64?4 J ;:(;)"/ S:.3 1964 0" .') :362 J 9" :) r :) 7 i:t () 19?:? o . 0600 ll..06 9?::!. B43? 130B DhC:: 19"76 )46 D3t 14' '76 CiS :19"77 iJ i :3 ,? 5:?O
:;T FGTli1f,TE CHI SU F'F -... -...... -. "M "R ROO.,.. ..., ,- N...... , -0'- "0. "'- ...... 0 ..m "0- "'0 'n' no' -...... 0.. .." ..0. .." ,'n ",...... ' ,U, ...... "., "0..,. ..-, ".- ,.., .... .0.' '.o, ..n ...... '0" ... ' 'h, "'0 ,0.. '.....n ..., .n..... CCJnsti:Jnt 000 plus Dr minus O()fj1 4 B 5 . 001 L i n(; i: l' T Y' Weishted ReS1'essiCJn y =-31. 26 + O. 0163(X) SGUi: y. (;.;.d 0, n 5t)4 :( mp T'CJV ?ITf..;'nt" 3B9. B 001 Fit 001 -ON M" .... "" ..- .-. .... 'N' ",. "N ...... "" "N ..,. ,,-, ...' "- ,." ..,. "...... " '... N...... --...... ,..- -., .... -... ..- ..., "" .... "N ..,. .,-, .-. 'ON .... Model: Sisnificant Linear Component
RACSEG
Here are some opinions other people have expressed in connection with (Negro/Black)-white relations. Which statement on the card comes closest to how you , yourself , feel? (asked only of non-Blacks)
White people have a right to keep (Negroes/Blacks) out of their neighborhoods if they want to, and (Negroes/Blacks) should respect that right.
Proportion equals Disagree slightly and Disagree strongly versus Agree strongly, Agree slightly, and No opinion.
Year Proportion Stud!: 1963 4493 1547 SRS330 1968 4318 1253 NORC4050 1970 5065 1226 SRS4100 1972 5560 1349 GSS 1972 6280 1290 NORC5046 1976 5960 1363 GSS 1977 5589 1349 GSS ------..-.------.- -.------"------""-'''''''--''''-''''-'...... "...... -.....- -_.- -.------.... - - -..- -...---- -.- .-. .------..--- -. ------.." --. ------...... ------'----:;( ------:( .. ------
175-
TEST ESTIMATE CH I F'f Constarlt 532 plus or minus 0. 0102 178. 001 Linear Trend Weighted Regression Y =-22. 00 + 0. 0114(X) SQIJa red 5740 I "If' rovement 104. 001 Fit 73. 001 Hodel: Significant Linear Component
RAD I OHRS
Do you ever listen to the radio?
IF YES: On the average, about how many hours a day do you usually listen to the radio?
Proportion equa Is never lis tens to radio versus listens , on ,average o to 24 hours a day.
Year F' r' ()po rt:i (Jr' Stud!:!
1957 j100 ;':19 SF(C 1978 o . 08:30 ;20 GSS
TEST ESTlrlA1T CH I 'M. -- ..n n.. - -. n....'. ..- n', .-. -...... '... n...... n.. ..n .0- .... .n...... - no...... n _n ...... n n...... n ..n n.. .n. ..n _n .-.. ..-. .n. -. Constant 124 plus OJ' minus 0. 0111 D? I) 001 Linear Tr'end Weighted Regression Y = 10. 16 - O. 0051(X) S(' l.a J'ed :1. . () () 0 () I !TP rovelJlent B? II 001 Fit (1. 000 'N. .- -.. ..., .M. .,.. -. ..., ...... 'N' ..- ft" .-. ..., . _. .,.. ..,...... _'0' "" .,...... -- 'N' ..,...... , ...... Model: Significant Linear Trend Fi
REG16A
In what state or foreign country were you living when you were 16 years old?
Proportion equals New England and Middle Atlantic versus East and West North Central , South Atlantic , East and West South Central , Mountain Pacific , and Foreign. ------...... ------....-.--..-----.------.------.------..- - -.... -- -.... ------...... ------.....-....-..- --- -. -- --- ....-'-- -. -.------
176-
Year Proportion Btud 1972 2410 1613 8SS 1973 2110 1504 8SB 1974 2100 1484 8SB 1975 2110 1490 8SS 1976 2180 1499 8SS 1977 2039 1530 8SS 1978 2193 1532 8SS
TEST ESTIMATE CHI PROB - - -... 'M' Constant 216 plus or minus 0. 0080 o . 253 Linear Trend Weishted Resression :: 5. .- 0. 0025 (X) R Saua red 2078 I ffP roven.er.t o . 200 Fit 289 Model: Constant
REG 16B
In what state or foreign country were you living when you were 16 years old?
Proportion equa Is Mountain and Pacific versus New England , Middle Atlantic, East and West North Central , South Atlantic , East and West South Central and Foreign.
YeaT' ropo T't i on StlJd 1972 1080 1613 8SS 1973 1140 1504 8SS 1974 1090 1484 8SB 1975 1140 1490 8SS 1976 1100 1499 GSS 1977 1157 1530 GSS 1978 1064 1532 GSS ------.-.-...... ------.------....- ---.-- --- ....- - --. ------.-...- ...- - --"-'- - --.---...... --....------.------.-.------
177-
TEST ESTIMATE CHI sa F'ROB Constant 111 plus or minus 0. 0061 1.2 977 Linear Trend Weishted Resression Y = 0. 14 - O. OOOO(X) R SCHJared o . 0001 IITProvelfent 1 . 000 Fit 1.2 947 -- - MO' Model: Constant
REGION I
Region of interview.
Proportion equals New England and Middle Atlantic versus East and West North Central , South Atlantic , East and West South Central , Mountain , and Pacific.
Year Proportion Stud 1972 2410 1613 OSS 1973 0 . 2280 1504 OSS 1974 2210 1484 GSS 1975 2190 1490 GSS 1976 0 . 2270 1499 OSS 1977 1967 1530 GSS 1978 2187 :L 532 GSS
TEST ESTIMATE CHI F'ROB Constant 221 plus or minus 0. 0080 10. 122, Linear Trend WeiShted ReSression Y = 9. 16 - 0. 0045 (X) R SQIJa red 5044 Improvenlent 022 Fit 574 - MO' MO' Mode 1: Corls tant
REGION2
Region of interview. ------.. ------.. - --.. ------.-.--...----.------. ------...... ---.. -...... ------.. -- - -..------...-.- -- ..--.------,.,."...,...... ,---.-...... -.------..------.... ------
178-
Proportion equals Mountain and Pacific versus New England, Middle Atlantic East and West North Central, South Atlantic, and East and West South Central.
Year Proportion Stud':
1972 0 + 1740 1613 GSS 1973 0 + 1680 1504 GSS 1974 0 + 1680 1484 GSS 1975 0 + 1580 1490 GSS 1976 0 + 1690 1499 GSS 1977 0 + 1732 1530 GSS 1978 0 + 1645 1532 GSS
TEST ESTIMATE CHI PROB Constant 168 plus or minus 0. 0072 923 Linear Trend Weishted Resression :: 1. 43 - 0. 0006 (X) R SGua red 0594 I ITIP rovement 0.1 723 Fit 872 .-. -- _'0 Model: Constant
RELIGI
What is your religious preference? Is it Protestant , Catholic , Jewish some other religion , or no religion?
Proportion equa Is Protestant versus Catholic , Jewish , None , and Other.
Year Proportion Stud':
1972 0 + 6410 1608 GSS 1973 0 + 6270 1500 GSS 1974 0 + 6430 1483 GSS 1975 0 + 6550 1488 GSS 1976 0 + 6350 1497 GSS 1977 0 + 6592 1523 GSS 1978 0 + 6407 1528 GSS ------.------...... ------.. ------.. ------.. ------.-..-- ....-..,. .-- - - -.------..-'-- ---""_. ,-....,.-....------..-..-..-.,...------.-.------.. ------.. ------
179-
TEST ESTIMATE CHI sa F'ROB - -. -'- .0..- ..-- _M- 'OM , Constant 643 plus or minus 0. 0093 O. 565 Linear Trer,d Weighted Regression Y = -3. 24 + 0. 0020 (X) R Sa'Ja red 0.1497 Imp rovement 601 Fit 533 Hodel: Constant
RELIG2
What is your religious preference? Is it Protestant , Catholic , Jewish some other religion, or no religion?
Proportion equals Catholic versus Protestant , Jewish , None , and Other.
Year F' ropo rt it')n Stud
1972 2570 1608 GSS 1973 2590 1500 GSS 1"974 2540 1483 GSS 1975 2440 1488 GSS 1976 2610 1497 GSS 1977 2449 1523 GSS 1978 2513 1528 GSS
TEST ESTIMATE CHI F'ROB Constant 253 plus or minus 0. 0084 907 Linear Trend Weighted Regression Y = 2. 97 - 0. 0014(X) R Sauared 1962 I RIP roveRlent 517 Fit 889 Hodel: Constant
RELIG 16A
In what religion were you raised?
Proportion equals Protestant versus Catholic , Jewish , None , and Other. ------..------..------.....-.--....------
180-
Year P 1'01"0 rt ion StlJd\:
1973 6540 1500 GSS 1974 6640 1482 GSS 1975 6930 1490 GSS 1976 6490 1497 GSB 1977 6842 1523 GSB 1978 6675 1525 GBS
TEST ESTIMATE CHI PROB Constant 669 plus or minus 0. 0099 10. 076 Linear Trend Weishted Resression Y = -4. 07 + 0. 0024(X) R SalJared 0695 Inlprovement o . 584 Fit o . 054 Model: Constant
RELIG16B
In wha t re ligion were you ra ised?
Proportion equals Catholic versus Protestant , Jewish, None, and Other.
Year Proportion Stud!: 1973 2790 1500 8SS 1974 2710 1482 8SS 1975 2540 1490 GSS 1976 2860 1497 8SB 1977 2561 1523 8SS 1978 2734 1525 8SS
TEST ESTIMATE CHI F'ROB
Constant 270 plus or minus 0. 0093 O. 292 Linear Trend WeiShted ReSression Y = 2. 62 - O. 0012(X) R Sauared 0294 Improvement 673 Fit o . 201 Model: Constant -- ===-_. - - ...... ,...... ,...... ,.------..---..----.--...-' .." ...... "j, (),,. ,:: \ - ...... -""-----...... """""":):, ::) ::: ()::? .;. (). ;. ,
181-
RELITEN
Would you call yourself a strong (RELIGIOUS PREFERENCE NAMED IN RELIG ) or a not very strong (RELIGIOUS PREFERENCE NAMED IN RELIG (a sked of those expressing any religious preference , see RELIG)
Proportion equals Strong versus Not very strong, Somewhat strong, and DK.
PT'DPOT't:i. i-. ::tUi:.' -0' ...... ,. "0- .... -..'.'...... - ...... "'0
1974 42:' J3' l.! 19n:; o. 4;:Nj :1361 ;:G 1971.) 3916 :1. :' (::. :I u:::;: 1977 a. -4 :1. aiy\ .l4J, I.J 197B 3'91(/ J40, b:j;:,
TEST :;T I j'1(:1 CHi :::. C-! FI: .0. ,.,. .,...... - "" "" .-. N,' ...... 0 ...... """"""""u""""" ,...... ,u...... ',,'"0'"'''''''''''''''''''''''''''''''''''''''''''' Cc)nstant 409 plus OT' ffinus O.lJU LinE-aT' Tr("!nd .... n' n' .... WeishtE-d Resression ::;: 1 (. . j '7 .-.. 0 OO(:. bGua T'f:o)d o . ::) B 2 ::: I 111 Y' (J V f? IYI('! n :3. G 4 ' Fi t .- n" ...... n no" .... .n- ...... -.., ..n .... .".. .. ModE' I; Cons.tant
RES l6A
Which of the categories on this card comes closest to the type of place you were living in when you were 16 years old?
Proportion equals In open country but not on a farm and On a farm versus In a small city or town (under 50 000), In a medium-size city (50 000- 250 000), In a suburb near a large city, and In a large city (over 250 000).
Year Proportion S tl,j!;
1972 O. 3020 1610 GSS 1973 3190 1501 GSS 1974 3410 1481 GSS 1975 3540 1490 GSS 1976 3350 1497 GSS 1977 3373 1524 GSS 1978 O. 3314 1530 GSS ------.---.------.------..._"------,...... ------.------
182-
TEST ESTIMATE CHI sa F'ROB - - R..------" "R Constant 331 plus or minus 0. 0091 11. o . 064 Linear Trend Wei hted Re ression Y = -8. 45 + 0. 0044 (X) R S uared 3014 Improvement o . 045 Fit 156 Model: Constar.t
RES16B
Which of the categories on this card comes closest to the type of place you were living in when you were 16 years old?
Proportion equals In a medium size city (50 000- 250 000), In a suburb near a large city, and In a large city (over 250 000) versus In open country000). but not on a farm , On a farm , and In a small city or town (under
Year Proportion Stud
1972 3870 1610 GSB 1973 3620 1501 GSB 1974 3630 1481 GBS 1975 3560 1490 GSS 1976 0 . 3660 1497 8SS 1977 3189 1524 8SS 1978 3601 1530 8SS
TEST ESTIMATE CHI F'ROB
Constant 359 plus or minus 0. 0093 17. o . 009 Lirlear Trend Wei hted Re ression Y = 12. 24 - O. 0060(X) R S lJared 3870 I RIP rovemerlt o . 009 Fit 10. o . 065 MOO'_- - Model: Si nificant Linear Trend Fits
RESPONSI
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS ) HONEST , CLEAN , JUDGMENT , CONTROL , ROLE AMICABLE , OBEYS , RESPONSI , CONSIDER , INTEREST , and STUDIOUS) are collected ------..------....--..,.,...... -...... "...".",.... - - ...------__, -- - -".. --.--..,-- -'-''''------.- ---- .-..- - - .----...... ------.".... --..... -- -- -....-- --'._- - .-. ----'------
183 - under QUALITIES OF CHILDREN which appears alphabetically.
RICHWORK
If you were to get enough money to live as comfortably as you would like for the rest of your life, would you continue to work or would you stop working? (asked of all those in labor force) Proportion equa Is Continue to work versus Stop working and DK.
Year Proportion Stud!:
1969 6712 1530 SRcaOFWRK 1972 0 . 6580 2148 SRC72-73 1973 6810 831 GSS 1974 0 . 6360 837 GSS 1977 6897 954 GSS
TEST ESTIMATE CHI F'ROB - - - MH Constant 667 plus or minus 0. 0119 114 Linear Trer.d WeiShted ReSression Y = -2. 00 + 0. 0014(X) R Saua red 0448 Improvement 564 Fit O. 068 Model: Constant
RICHWORKl
If you were to get enough money to live as comfortably as you would like for the rest of your life , would you continue to work or would you stop working? (asked only of those employed)
Proportion equals Continue to work versus Stop working and DK.
Year F' Y' ()PO rt i Stud\:l .... M" ...... -...... ,.- -... .n.... 1973 0 . 6840 BOO OSS 1974 0 . 6360 ?B3 fJBf:) JI::"'" 1976 6800 .I f-JS 1(n7 68713 ') :1. :)B ------.... ------""""""'''''''''''''''''''''''''''''''''-'''''''' ------.------....------.- -. ....------'------....-. ... .- ...... - .-..------...--....------.------.(-:--"-"'(). -.''''''''''''''''''' -.- ---...---- ....-
184-
TEST EBTIM,=irC CII I S(1 PI: ()n ...... ""0"""'"'' ...... -,-, n.' .00. .,...... ,., '00' ...' -..-...... n.. "h"'" - W"n. . n" .0.. n.. Constant 673 plus or minus 0. 0164 6. :: 102 Linear' Trenlj Ii. Weighted Regression Y :: .. O. :;O(X) Ii: SGuar' o. :1:5:16 Improvement :l . 672 Fit 7.i + 2 072 -.. -. 0'" - .oo. .n. .... -. .... "0' -...... 0'" .- ...... - '00...... "0' ...... , -." -,...... -...... - 'n. ..M ...... - Model: Constant
RINCOMEI
In which of these groups did your earnings from (OCCUPATION) for last year fall? That is, before taxes or other deductions. Just tell me the letter. (asked of all those who indicated that they earned income from an occupation last year)
Proportion equa Is $ 0 to $ 4 999 versus $ 5 000 to $25 000 or over.
Year' F' ropo rt i on Stud\: 1974 0 . 3590 839 GSS 1975 0 . 3820 880 GSS 1976 0 . 3370 828 GSS 1977 2702 955 GSS 1978 2561 937 GSS
TEST ESTIMATE CHI PROB ------M" - - - - Constant 314 plus or minus 0. 0139 52. 001 Lirlear Trend Weighted Regression Y = 64. 37 - 0. 0324(X) R SQIJar' 8258 I ITIP rovelTent 44.1 001 Fit O. 040 Hodel: Significant Lioear COITPooent
RINCOME2
In which of these groups did your earnings from (OCCUPATION) for last year fall? That is , before taxes or other deductions. Just tell me the letter. (asked of all those who indicated that they earned income from an occupation last year) ------'--'--""---'------_. ------.-.------.....----- .--.... -.-- _.-_._-- -- ._. ....--. --.- ..------...... -....-_...... - -. ..-- -_. -- -..-.------.---- .... ------.:::.:; -.....-- --.. ------
185-
Proportion equals $10 000 to $25, 000 or over versus $ 0 to $ 9, 999.
Year Proportion Stud!:
1974 0 . 3340 839 GSS 1975 0 . 3260 880 GSS 1976 3950 828 GSS 1977 0 . 4335 955 GSS 1978 4504 937 GSS
TEST ESTIMATE CHI PROB Constant 387 plus or minus 0. 0145 49. 001 Linear Trend Weighted Regression Y =-67. 25 + 0. 0342(X) SGIJa red 9066 Improvement 44. 001 Fit 195 Hadel: Significant Linear Trend Fits
ROBBRY
During the last year , did anyone take something directly from you by using force-- such as a stickup, mugging or threat?
Proportion equals Yes versus No.
Year P I' OPO I't ion Stud!: 1973 0160 1500 GSS 1974 0360 1473 GSS 1976 0161 1491 GSS 1977 0190 1525 GSS
TEST ESTIMATE CHI PROB M" - - - H_"" - - Cans tant 020 plus or minus 0. 0036 13. 004 Linear Trend Weighted Resression Y = 1 . 16 - 0. 0006 (X) R SGuared 0698 Improvement -"1. 1 . 000 Fit 15.1 001 .n. Hodel: Not constant, not linear 186-
ROLE
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUGMENT , CONTROL , ROLE AMICABLE, OBEYS , RESPONSI , CONSIDER , INTEREST , and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
RUSSIA 1 , RUSSIA2
These mnemonics along with all those that deal with views on countries (RUSSIA1, RUSSIA2 , JAPANI , JAPAN2 , ENGLAND1 , ENGLAND 2 , CANADAI , CANADA2 BRAZILl , BRAZIL2 , CHINA 1, CHINA2 , ISRAEL1 , ISRAEL2 , EGYPTI, EGYPT2) are collected under IMAGES OF COUNTRIES which appears alphabetically.
SATCITY
This mnemonic along with all those that measure satisfaction with various life domains (SATCITY , SATFAM , SATFRND , SATHEALT , and SATHOBBY) are collected under SATISFACTION WITH LIFE DOMAINS which appears alphabetically.
SA TF AM
This mnemonic along with all those that measure satisfaction with various life domains (SATCITY , SATFAM , SATFRND , SATHEALT , and SATHOBBY) are collected under SATISFACTION WITH LIFE DOMAINS which appears alphabetically.
SATFINl
We are interested in how people are getting along financially these days. So far as you and your family are concerned , would you say that you are pretty well satisfied with your present financial situation , more or less satisfied , or not satisfied at all?
Proportion equals Pretty well satisfied versus More or less satisfied and Not satisfied at all. ------....------_. - - -. -..- ..-.- -.-.------....,...... - .-..--...-.... .-. - - .---.------.:::---: - .- --_.-- -
187-
Year Proportion Stud 1956 4180 1749 ELEC56 1958 3968 1807 ELEC58 1960 3698 1917 ELEC60 1964 4467 1558 ELEC64 1972 3250 1608 GSS 1973 3070 1501 GSS 1974 3120 1478 GSS 1975 3100 1479 GSS 1976 3070 1492 GSS 1977 3419 1521 GSS 1978 3388 1529 GSS
TEST ESTIMATE CHI PROB - ._u- -- Constant 352 plus or minus 0. 0072 164. 001 Linear Trend Weishted Resression Y = 9. 52 - 0. 0047(X) R SCHJared 6357 I RIP roveRlent 105. 001 Fit 58. 001 - _u ..- - Moo-- M__'- - Model: Sisnificant Linear Component
SATFIN2
We are interested in how people are getting a long financia lly these days. So far as you and your family are concerned , would you say that you are pretty well satisfied with your present financial situation , more or less satisfied , or not satisfied at all?
Proportion equals Not satisfied at all versus Pretty well satisfied and More or less satisfied. Year Proportion Stud -oo""""""" 1956 O. 1864 1749 ELEC56 1958 2142 1807 ELEC58 1960 2316 1917 ELEC60 1964 O. 1540 1558 ELEC64 1972 2280 1608 GSS 1973 2340 1501 GSS 1974 2320 1478 GSS 1975 2670 1479 GSS 1976 2330 1492 GSS 1977 2216 1521 GSS 1978 2387 1529 GSS ------y---- = ------.------.------.------..------: . - ---
188-
TEST ESTIMATE CHI sa PROB Cons tant 218 plus or minus 0. 0062 91. 001 Linear' Trend Weishted Resression 3. 93 + 0. 0021 (X) R Saua red O. 3384 I RIP rovelJlent 29. 001 Fit 62. 001 Model: Si nificant Linear CORlPonent
SA TFRN
This mnemonic along with all those that measure satisfaction with various life domains (SATCITY , SATFAM , SATFRND , SATHEALT, and SATHOBBY) are collected under SATISFACTION WITH LIFE DOMAINS which appears alphabetically.
SATHEALT
This mnemonic along with all those that measure satisfaction with various life domains (SATCITY , SATFAM , SATFRND , SATHEALT , and SATHOBBY) are collected under SATISFACTION WITH LIFE DOMAINS which appears alphabetically.
SATHOBBY
This mnemonic along with all those that measure satisfaction with various life domains (SATCITY , SATFAM , SATFRN , SATHEALT , and SATHOBBY) are collected under SATISFACTION WITH LIFE DOMAINS which appears alphabetically.
SATISFACTION WITH LIFE DOMAINS
For each area of life I am going to name , tell me the" number that shows how much satisfaction you get from that area.
SATCITY
The city or place you live in.
Proportion equals A very great deal and A great deal versus Quite a bit , A fair amount , Some, A little , None , and DK. ------..-...... ----..------.. ------..------..------.-....- --.------..-...-.------.... ----'--.--...-----.- ---.. ------_..---.- -.. ------""""""''''''''------_.------...- -.------.- ----..--..... ------. --- --.------...... - - ---..-.------.-
189- continued from SATISFACTION WITH LIFE DOMAINS
Year ProF-ortion Stud!: _0______--_...... -..oo 1973 4670 1504 GSS 1974 4660 1484 GSS 1975 5050 1483 GSS 1976 4950 1493 GSS 1977 4695 1525 GSS 1978 4682 1525 GSS
TEST ESTIMATE CHI PROB
Cons tant 478 F-Ius or minus 0. 0105 0.122 Linear Trend Weishted Resression Y = 0. 18 + O. OOOl(X) R SalJa red o . 0004 I "IF- rovement 965 Fit 069 -. _M Model: Constant
SA TF AM
Your family life.
Proportion equals A very great deal and A great deal versus Quite a bit , A fair amount , Some , A little , None , and DK.
Year ProF-ortion Stud!:
1973 7430 1493 GSS 1974 7680 1480 GSS 1975 7700 1482 GSS 1976 7600 1493 GSS 1977 7482 1521 GSS 1978 7456 1521 GSS
TEST ESTIMATE CHI sa PROD Constant 756 F-Ius or minus 0. 0091 341 Linear Trerld Weishted Resression Y = 4. 16 - 0. 0017(X) R Saua red 0659 ImF-rovement 527 Fit 262 Model: Constant ------.------.--_.._------_._ ------.------.------....---..------
190-
continued from SATISFACTION WITH LIFE DOMAINS
SA TFRND Your friendships.
Proportion equals A very great deal and A great deal versus Quite a bit, A fair amount , Some , A little , None , and DK.
Year Proportion Stud!:
1973 6980 1495 GSS 1974 7230 1484 GSS 1975 7080 1484 GSS 1976 6940 1492 GSS 1977 6951 1525 GSS 1978 6789 1526 GSB
TEST ESTIMATE CHI SQ PROB Constant 700 plus or minus 0. 0097 158 Lir.ear Trend Weishted Resression Y :; 11. 69 - 0. 0056(X) R SGuared o . 4846 Imp rovelTlent 047 Fit 4.1 o . 394 '_0'_- - Model: Constant
SA THEA LT
Your health and physical condition.
Proportion equals A very great deal and A great deal versus Quite a bit , A fair amount , Some , A little , None , and DK.
Year Proportion StlJd!:
1973 6000 1501 GSB 1974 6090 1482 GSS 1975 6060 1483 GSS 1976 5970 1494 GSS 1977 6063 1524 GSS 1978 5895 1525 GSS ------.------.....-.------.------.------.....-....-.... -----. ."....------.- -- -.------._------....------.--
191-
continued from SATIFSACTION WITH LIFE DOMAINS
TEST ESTIMATE CHI SQ PROB -___'R"'-- - - Constant 601 plus or minus 0. 0103 893 linear Trend Weishted Resression Y = 4. 51 - 0. 0020eX) R Souared 2603 X IIP rovellient 519 Fit 872 Mod_I: Constant
SATHOBBY
Your non-working activities--hobbies and so on.
Proportion equals A very great deal and A great deal versus Quite a bit , A fair amount , Some , A little , None , and DK.
Year Proportion Stl.Jd 1973 0 . 5430 1498 GSS 1974 0 . 5460 1484 GSS 975 5660 1486 GSS 1976 5730 1495 GSS 1977 5484 1519 GSS 1978 5799 1526 GSS
TEST ESTIMATE CH I PROB Constant 560 plus or minus 0. 0105 186 Linear Trend Weishted ReSression Y =-10. 68 + 0. 0057(X) R SOIJa red 4630 I "IP roverrlent 059 Fit 405 Model: Constant
SATJOB
On the whole , how satisfied are you with the work you do--would you say you are very satisfied , moderately satisfied , a little dissatisfied , or very dissatisfied? (asked of all those employed) ..---.--...... ------....------...- ...... - ...-.- ..-.....-..,.-...... -...... -....-.-.-....""''''''''''''-''''''''''''''''''''' -...- ....-. .-.... -- .,...- ..- ....- ...,,-,- .-.- .....- .--- ....- _. "" - -...... -..- "" .....- ....----.-.-...... -....--_...... ,. ... - .-...- .- .... -.- ....
192-
Proportion equals Very satisfied versus Moderately satisfied , A little dis- satisfied , and Very dissatisfied.
YeaT' PT' (JPc)rtion Stud! ...... - ...... "n 1962 o. 4 :i8 102 NDr C447 1972 O. 48 944 GSS 1973 o . 4946 :1:141 Gm; 1974 4928 830 GSS 4819 (140 (3SG 1978 5135 927 GSS
TEST ESTIMATE CHI SQ PRDB ..n - - -. n" .'M ..., ...... -.- ...... '...... - -. - M...... 0...... -. Cons tant 487 plus or minus 0. 0:13:1 266 LineaT' Trend Weighted Regression Y = -4. 76 + 0. 0027 (X) R S ua T'ed 7091 IITP l'oventent 030 Fit 774 ..oo -. - - _n ... '0" 'M' -- 'M' ,.., ..., ...... - ...... -,.. 'on .... .- ... ,....- ...... "n ..., _. N- -.. -,...... n.. Model: Constant
SATJOBl
On the whole , how satisfied are you with the work you do--would you say you are very satisfied , moderately satisfied , a little dissatisfied , or very dissatisfied? (asked of all those in labor force and those keeping house)
Proportion equals Very satisfied versus Moderately satisfied , A little dissatisfied , and Very dissatisfied.
YeclT' P T'OPC) T't i c)n !:tlJd!:
1973 4(139 :L40 GSS 1974 4792 1223 GSS 197"7 4(100 1252 GSS 197B 50(16 1280 GSS .------.------.. ------.------.------.- _.- - - -.------.---- ....-- .--.. .-- ....--- .-. .------.- - - .... -.-_.---.------_.------...... -.....-- - -.--...-- _. .-. -..-.-)- --(' ------(). ------
193-
TEST ESTIMATE CHI 50 PI: 'ON .- 'M' fl.. .- _...... - _...... ,.,. .... -.. ,... "" .n' ...... N" ...... - .... ,'.. ..' "" .. -. 'M' ..,. .,.. -., ....
Constant 490 plus Dr minus 0. 0143 A.. t 593 Linei3T' TT' end Wei htsd Regression Y = -4. 24 + 0. 0024(X) R S( ua T' :L4B4 r nIP T' ovsment :7;02 Fit 29::) .... '- ...... 'M' .... "M .... ,.., ...... ,... "'. ..- .", .... '." '...... -... .- ,... .,., ... -.M M" .... ,-...... , ...... 'M' ..- ...... Model: Constant
SATJOB2
On the whole , how satisfied are you with the work you do--would you say you are very satisfied , moderately satisfied , a little dissatisfied , or very dissatisfied? (a sked of tho se emp loyed and those keeping house)
Proportion equals Very satisfied versus Moderately satisfied , A little dissatisfied , and Very dissatisfied. Year Proportion Stud!: 1973 4973 1110 GSS 1974 0 . 4851 1175 GSS 1975 5416 1165 GSS 1976 5207 1185 GS5 1977 4829 1228 GSS 1978 5105 1242 GSS
TEST ESTIMATE CHI PROB - - --.-- -M Constant 506 plus or minus 0. 0119 12. o . 033 Linear Trend Wei hted Re ression Y = -1. 40 + O. 0010(X) R Sauared o . 0082 Improvement 778 Fit 12. 017 -- __a - - M..'- Model: Not constant, not linear
SATJOB3
On the whole, how satisfied are you with the work you do--would you say you are very satisfied , moderately satisfied , a little dissatisfied , or very dissa tisfied? (asked of those in labor force) ------.------. -_. -- _...... --.------_.- -- ..------....---....--..------.------
194-
Proportion equals Very satisfied versus Moderately satisfied , A little dissatisfied , and Very dissatisfied.
Year Py' oF-ortion Stud,=
1972 4894 893 GSS 1973 4994 801 GSS 1974 5026 782 GSS 1975 0 . 5537 773 GSS 1976 0 . 5293 769 GSS 1977 4912 906 GSS 1978 5163 889 GSS
TEST ESTIMATE CHI PROB Constant 511 F-Ius or minus 0. 0131 10. 101 Linear Trend Weighted Regression Y = -5. 58 + o. 0031 ( X SGIJa red 0913 IUIF-roveulent o . 659 Fit o . 084 Model: Constant
SEX
Respondent I S sex. (coded by interviewer)
Proportion equals Male versus Female.
Year ProF-ortion Stud,=
1972 5000 1613 GSS 1973 4660 1504 GSS 1974 0 . 4660 1484 GSS 1975 4500 1490 GSS 1976 4460 1499 GSS 1977 4529 1530 GSS 1978 4197 1532 GSS ------.-....-.------'------..------.....-- -.. .--...,y.- - --.- -- -..--..-. - --. --.------_.----- ...... ,...... -- -.----.--- ,...... -._._.-_..- --'------.- -.------. ....---- - (-----.::.::-:: ------. .-.------
195-
TEST ESTIMATE CHI SQ F'ROB - M Constant 457 plus or minus 0. 0096 22. 001 Linear Trend Weishted Resression Y = 20. 88 - 0. 0103(X) R SGuared 8199 I RIP rovement 18. 001 Fit o . 550 Model: SiSni ficant Linear Trend Fits
SEXEDUC
Would you be for or against sex education in the public schools?
Proportion equals For versus Against and DK.
Year Proportion Stud 1970 0 . 5600 2486 RAC70 1974 7890 1481 8SS 1975 7630 1488 8SS 1977 0 . 7703 1524 8SS
TEST ESTIMATE CHI F'r -.-- - MH'__'- --.--.- Cons tant 714 plus or minus 0. 0106 336 . 001 Linear Trend Weishted Resression Y =-64. 09 + 0. 0328(X) R Saua red 7700 I RIP rovement 264. 001 Fit 71. 001 Model: SiSni ficant Linear Component
SIBS
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.
Proportion equals 4 to 31 versus 0 to 3. .--.------.------..-- .------....'... -...... ,....-...... ------.....------..- --" -- -- .- .... -.-...... -..- .... ------.- -.... - .... ------.... .- -..------_...... ------..- ..-.... -.._.. ------.- -.",., ------. ..-....-..---.-...,...... -....----- .- .-. -.------...... -- ---"'.'" '------'. '" "....-- ...'- -.------:.(--. ..-- - ._. - ----_. ------.- -.-
196-
Year Proportion Stud!: .... n...... -- ..n 1972 4910 1606 GSS 1973 4770 1501 GSS 1974 5060 1483 GSS 1975 4920 1485 GSS 1976 5150 1498 GSS 1977 5344 1527 GSS 1978 4830 1532 GSS
TEST ESTIMATE CHI PROB _'_'0" _. Constant 500 plus or minus 0. 0097 14. 023 Lirlear Trend Weishted Resression Y :: -6. 49 + 0. 0035(X) R SalJa red 1481 Improvement 136 Fit 12. 028 Model: Not constant, not inear
SIZE 22
Size of place.
Proportion equals 100 000 to 9 million versus less than 9 999 to 99, 999.
Year F'ropor' tion ::;tud!:1 .n...... -...... n.. 1972 o. 6 'iB4 16:1.3 GSS 197 O. '7204 7i13 GSS 1974 O. THB 14D4 197 O. '7208 1490 1976 O. n'i(?2 :1499 C-,B 19'77 '7621 :I i30 1978 '7402 :I G::;S
TEST ESTIMATE CHI f:Q "W B MO. n" -,...... n. .... -.. -- ...... - .... 'M' .- ..- ..n -. .... -.. -.. .- _M. M'. .,.. Constant 729 plus or minus O. OOB6 54. 001 L. i nea T' T T' end We i hted ReS ress ion -24. 05 + O. O:l25(X) S(: l.aT' 624B I ITII' T' ovement 33. 001 Fit ;:'0. 001 - - .- 'M. -- M" 'M. "M M" .n. .... "M .M. .... -- ...... - Model: Sisnificant Linear Component ----..."..~~~----....-,.,...,.....--.------.-.-." ..-- . -..----- ...... -:::.------.------.. ------....-- ;'- - ..-;- - -"- -.:::. ... :::. :- -,.. - - ..:--::;_- - - ;.-- - .-..- .-... ;;; -.------,.... -.------.---....-..... ------'-;;; .-.... -- -. -... -...- - '--'--~~~~ - -.-
197-
SMOKE
Do you smoke?
Proportion equals Yes versus No.
Yea) P T'OF'O T't i orr StlJci': 1939 0 . 6156 3080 AIF'0160 1'?57 5035 156'7 "UF'0585 1957 5516 1657 IF'0592 19\ 4942 2497 NORC428 ,'77 4239 1524 C;SS 197B 0 . 3945 1531 t3SS T--- ESTIMA1E . PROB CCJi' :;t3nt. ,,J -' I I.in ?i' i' TT' ?nd Weighted Re ression Y = 11. 07 - O. 0054(X) o \- 9. F\ :3c l.a T"r:.?d , 001 I iT r'" r' C) \/ e IT! e nt. 0.. 024 ;::. i ' ..0' .-. .-. -.-.
;::. C) n ? n . i ci f.!:I:; :::; i : :; n .i ' f' .i . ;: n t. :J n C ' il
SMOKECIG
Do you smoke cigarettes?
Proportion equals Yes versus No and No on SMOKE.
Year F'rm;,ortion Study 1939 4082 5223 FOR+7 1969 3910 1555 AIF'0785 1977 3852 1516 GSS 1978 3574 1525 GSS ------..------.------.----_. -. ------..---..------.-. - .--- .------.-...------..., ------:------. ------
198-
TEST ESTIMATE CHI SQ ROB
Constar,t 394 plus or minus 0. 0099 13. o . 004 Linear Trend Weighted Regression Y = 2. - 0. 0009(X) Sal.Ja red 6550 IIJProvement 10. o . 001 Fit 215 ------__-M_- ---.- Model: Significant Linear Trend Fits
Would you use this card and tell me which answer comes closest to how often you do the following things...
SOCBAR
Go to a bar or tavern?
Proportion equals Almost every day, Once or twice a week , and Several times a month versus About once a month , Several times a year, About once a year, and Never.
Year PT' oportion Stl.j 1964 1518 1950 SRS760 1974 1810 1462 GSS 1975 1590 1476 GSS 1977 O. 1980 1525 GSS 1978 1976 1528 GSS
rEST ESTIMATE CHI PROB - MO' Constant 174 plus or minus 0. 0085 21.4 001 Linear rT' end Weighted Regression Y = -5. 56 + 0. 0029(X) R Sauared 6283 r ITIP rovelTlent 14. 001 Fit 060 Model: Significant Linear Trend Fits ------.------.-.---- -..... ------...... -...-...,-...... - -- -- .------..-.- -. ------.::( - .---. --- -. ---
-199-
SOCFREND
Spend a social evening with friends who live outside the neighborhood?
Proportion equals Almost every day and Once or twice a week versus Several times a month, About once a month, Several times a year About once a year , and Never.
Year Proportion Stud\: 1964 3561 1966 SRS7 60 1974 4030 1478 8SS 1975 3880 1485 GSS 1977 4143 1523 8SS 1978 4201 1526 8SS
TEST ESTIMATE CHI PROB Constant 393 plus or minus 0. 0109 19. 001 Linear Trend Weishted Resression Y = -8. 10 + 0. 0043 ( X R Sauared 8987 Improvement 18. 001 Fit o . 650 Model: Sisni ficant Linear Trend Fits
S OCOMM
pend a social evening with someone who lives in your neighborhood
Proportion equals Almost every day, Once or twice a week , and Several times a month versus About once a month, Several times a year, About once a year, and Never.
Year Proportion StlJd\: 1964 4068 1969 SRS760 1974 4380 1476 GSS 1975 4170 1485 GSS 1977 3944 1524 8SS 1978 0 . 4060 1522 GSB ------.------_.------..----. .------_.------.. - -.-- .------.------,- --.---. ------_.-.... ------.-..------.------.- --- _._------
- 200-
TEST ESTIMATE CH I PROB 'M- _. Constant 412 plus or minus 0. 0110 0.155 Linear Trend Weighted Regression Y = 0. 47 - O. OOOO(X) R Scwared o . 0027 Improvement 1 . 000 Fit o . 083 _0__'- - ______M"- - Model: Constant
SOCREL
Spend a social evening with relatives?
Proportion equa Is Almost every day, Once or twice a week , and Several times a month versus About once a month , Several times a year , About once a year and Never.
Year Proporticm StlJd!: ,'_"""n_'_" 1964 5302 1973 SRS760 1974 0 . 5700 1482 GSS 1975 0 . 5580 1488 GSS 1977 5511 1526 GSS 1978 5472 1526 GSS
TEST ESTIMATE CHI PROB
Constant 550 plus or minus 0. 0111 O. 199 Linear Trend Weighted Regression Y = -2. 82 t 0. 0017(X) R SQuared 3761 Imp rovement 098 Fit 347 Hodel: Constant
SPDEG
Respondent s spouse s degree.
Proportion equals Less than high school versus High school , Associate/ Junior college , Bachelor , and Graduate. ------.------.------.-.- _.- --. ------.-..- ----. --- --.-..------.''''''''''''''''''''--.-.------... _.-.--_.---.- --..-. -.....-..---.-.- -. ---- ..-",- --- ."j---.-.-...--_._- -. ---.- -.- .:::------. ------
201-
Year ropo rt i on Stud
1972 3630 1110 GSS 1973 3600 1052 1974 3530 1056 GSS 1975 3160 998 GSS 1976 3470 969 GBB 1977 3302 966 GSS 1978 2821 950 GSS
TEST ESTIMATE CHI PROB 'OM
Constant 336 plus or minus 0112 23. 001 Linear Trend Weishted Regression Y ;: 22. 33 - 0. 0111(X) R Sal.Jared 6715 Improvement 16. 001 Fit 187 Model: Significant Linear Trend Fits
SPEDUC 1
Respondent s spouse s education.
Proportion equals less than twelth grade versus twelth grade to eight years of college.
Year Proportion Stud
1972 0 . 3620 1127 GSS 1973 3570 1058 GSS 1974 0 . 3500 1051 GSS 1975 0 . 3350 993 GSS 1976 0 . 3540 965 GSS 1977 3371 964 GSS 1978 2929 949 GSS
TEST ESTIMATE CHI FROB --., - MOO__-R... -.
Corlstant 341 plus or minus 0112 oJ + 018 Linear Trend Weishted Regression Y ;: 17. 63 - 0. 0088(X) R Saua red 6371 Imp rovemer.t 002 Fit o . 382 Model: Signi ficar.t Linear Trer.d Fi ts ------...,------. --.------. _..- -. --.------....-....-.-..- ..- ..-- -. ------..------
202-
SPEDUC2
Respondent s spouse s educa tion.
Proportion equals one to eight years of college versus twelth grade or less. Year Proportion StlJd __n""',__----- 1972 2650 1127 GSS 1973 3020 1058 GSB 1974 2900 1051 GSB 1975 2890 993 GSS 1976 2870 965 GSS 1977 2998 964 GSS 1978 3151 949 8SS
TEST ESTIMATE CHI F'ROB MM --- .OM.- M__ Cons tant 292 plus or minus 0. 0108 275 Linear Trend Weishted Resression Y =-10. 07 + O. 0052(X) R Saua red 4995 Improvement O. 048 Fit 595 .-- - '__'0'. --. n...- Model: Constant
SPHRS lA
How many hours did (respondent' s spouse) work last week , at all jobs? (asked only' of those working full or part time)
Proportion equals 0 to 39 hours versus 40 or more hours.
Year Proportion Stud
1973 0 . 2030 645 8SS 1974 0.1980 630 8SS 1975 2130 592 8SS 1976 0 . 2380 555 GSS 1977 0 . 2622 572 GSS 1978 0 . 2222 585 GSB ------'-'------. - .... - -..------.- ---.. - ...- - -- -.-- --.------...... -. .... --.- - - - - ..- .-... - -.....-... ----.------
203-
TEST ESTIMATE CHI sa F'r _'OM - - Cons t.nt 220 plus or minus 0. 0138 089 Linear Trend Weighted Regression Y =-17. 11 + 0. 0088(X) R Souared 4869 I liP rove'Jlent 027 Fit 311 -.- - M.. Hodel: Constant
SPHRS lB
How many hours did (respondent s spouse) work last week , at all jobs? (asked only of those working full or part time)
Proportion equa Is 40 to 49 hours versus less than 40 and more than 49 hours.
Year Proportion Stl.d
1973 0 . 5580 645 GSS 1974 6110 630 GSS 1975 0 . 6230 592 GSS 1976 0 . 5600 555 GSS 1977 5472 572 GSS 1978 5675 585 GSS
TEST ESTIMATE CHI PROB Constant 579 plus or minus 0. 0165 12. 032 Linear Trend Weighted Regression Y = 11. 76 - 0. 0057(X) R SOIJa red 1248 Improvement 104 238 Fit 10. o . 028 Model: Not constant, not linear
SPHRS lC
How many hours did (respondent' s spouse) work last week , at all jobs? (asked only of those working full or part time)
Proportion equa is 50 or more hours versus 0 to 49 hours. ------.------..--..------.------.------.------.------
204-
Year Proportion Stud!:
1973 2390 645 GSS 1974 0.1900 630 GSS 1975 1640 592 GSS 1976 2020 555 GSS 1977 o. 1906 572 GSS 1978 2103 585 GSS
TEST ESTIMATE CHI PROB
Constant 198 plus or minus 0. 0133 12. o . 034 Linear Trend Wei hted Re ression Y = 5. 35 - 0. 0026(X) R Sauared 0497 ImPT' ovement 544 Fit 11. 020 Model: Not constant, not linear
SPIND
Spouse s industry. (coded from the following questions: What kind of place (does/did) (SPOUSE) work for? and What (do/did) they (make/do)?)
Proport ion equals tertiary versus primary and secondary.
Year Proportion Stud!:
1972 6478 1005 GSS 1973 6300 946 GSS 1974 0 . 5822 955 GSS 1975 6180 909 GSS 1976 5980 881 GSS 1977 6007 889 GSS 1978 6103 875 GSS ------..------.------.------.--.-- -- -.-- - -.... --.------.--- -.- -_.- -._.---.- -.-.-.-- --. ------...... - - ---,.---- - _.-...... -.-..- -.- ...... ------._. ._------"------:--.::: --- - -.--. ------
- 205-
TEST STIMATE CH I F'ROB
Constant 613 plus or minus 0. 0121 11. 7 o . 068 Linear Trend Weishted Resression Y = 12. 22 - 0059 (X) R SQuared o . 301 9 I IlP rovellent o . 048 Fit 160 Model: Constant
SPKA TH
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 community against churches and religion , should he be allowed to speak , or not?
Proportion equals Yes , allowed to speak versus Not allowed and DK.
YeaT' Proportion Stud!: 1954 3716 4933 ICF'F0202 1972 6500 1613 GBS 1973 6530 :l503 GBS 1974 6170 1482 GSS 1976 6400 1499 GSS 1977 6234 1527 GSS 1978 6256 1509 NOf.:C4269
TEST ESTIMATE CHI F'ROB Constant 543 plus or minus 0. 0081 963. 001 Linear Trend Weighted Regression Y =-23. 33 + 0. 0121(X) R SGuared o . 8721 Improvement 909. 001 Fit 54. 001 Model: Significant Linear Component ------.-- -_._. ------.--...... -..-.- - ---.- -.------:---- . - ---
- 2 06 -
S PKC OM
Now , I should like to ask you some auestions 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?
Proportion equals Yes , allowed to speak versus Not allowed and DK.
Year Proportion Stud!: 1954 2692 4933 ICPR7202 1972 5190 1610 8SS 1973 5970 1503 8SS 1974 5790 1481 8SS 1976 O. 5460 1497 8SS 1977 5548 1525 8SS 1978 6008 1508 NORC4269
TEST ESTIMATE CHI F'ROB Corlstant 447 plus or minus 0. 0080 1352 . 1 001 Linear Trend Weighted Regression Y =-26. 98 + 0. 0139(X) R SGuared 9147 InlProvelTent 1308. 001 Fit 43. 001 Model: Significant Linear Component
SPKHOMO
And what about a man who admits that he is a homosexual?
Suppose this admitted homosexua I wanted to make a speech in your community. Should he be allowed to speak , or not?
Proportion equals Yes, allowed versus Not alluwed and DK.
Year Proportion Stl.Jd!: 1973 0 . 6080 1501 8SS 1974 6240 1483 8SS 1976 0 . 6200 1496 8SS 1977 6178 1528 8SS ------.---.--....-.-....------.... ------'------.------.------.- ..-.," ..------. -. ------.... - .....-..-... - -.-....-- - .-.------.--..------.' ------.--.------.-.--.------
207-
TEST ESTIMATE CH I PROB - __..n _M Constant 617 plus or minus 0. 0125 o . 833 Linear Trend WeiShted ReSression Y = -2. 43 + 0. 0015(X) R Sauared 0.1753 Improvement 699 Fit 702 ._. ...,.- -. M__- Hodel: Cor.stant
SPKMIL
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?
Proportion equals Yes , allowed versus Not allowed and DK.
Year Proportion :;;tud': ...... ,.." n- .... 1976 5440 1495 GSS 1977 5049 1529 GSS 1978 5471 1508 NOF.:C42b9
TEST ESTIMATE CHI S(. PROB M__- - -
Constant 532 plus or minus 0. 0148 o. o . 033 Linear Trend Weishted Resression Y = -2. 65 + 0. 0016(X) R Sauared 0043 Improvement o . 854 Fit 009 -- - - __n - _0' Model: Not constant, not linear
SPKRAC
, consider a person who believes that Blacks are genetically inferior.
If such a person wanted to make a speech in your communi ty cIa iming that Blacks are inferior , should he be allowed to speak , or not?
Proportion equals Yes, allowed versus Not allowed and DK. ----.------.------.------.- ---.--.... ---- -.---- .- .-- ..------.- ---...... ------.- --.------.-.-,--_... ------...... ------...... --..-..-----.....-....-...-. - - _.--- -.---..-.------..------(.:::------.----- .. ---
- 208-
Year' F'roporticm Stl..d!:
1976 6080 1495 GSS 1977 5856 1525 GSS 1978 6180 1508 NORC4269
TEST ESTIMATE CHI PROB _-_R - Cons tant 604 plus or minus 0. 0145 O. 172 Linear Trend Weighted Regression Y = -9. 48 + 0. 0051 (X) R Sauared 0912 Improvement 573 Fit o . 072 M__' UN -- Model: Constant
SPKSOC
. Or consider a person who favored government ownership of all the railroads and a 11 big indus tries.
If such a person wanted to make a speech in your community favoring government ownership of all the railroads and big industries , should he be allowed to speak , or not?
Proportion equals Yes , allowed to speak versus Not allowed and DK.
Year Proportion Stud!: 1954 0 . 5856 4933 ICPR7202 1972 0 . 7700 1612 GSS 1973 7750 1504 GSS 1974 0 . 7570 1483 GSS
TEST ESTIMATE CHI PROB ft- ...... - 'n' _'0 Mn- - M.. _._- - M_""- Cons tant 687 plus or minus 0. 0093 377. 001 Linear Trend Weighted Regression Y =-18. 02 + 0. 0095(X) R Saua red 9759 Improvement 372. 001 Fit 078 _oo Model: Significant Linear Trend Fits ------.-..------. --- - - ...... ----- ...... --- .---...... --.... -...... - ..,.-.------
- 209-
SPOCC
Re sponden t s spou se ' s occupa t ion. (coded from the following questions: What kind of work (does/did) your (SPOUSE) normally do? That is, what (is/was) (his/her) job called?; What (does/did) (SPOUSE) actually do in that job? Tell me , what (are/ were) some of (his/her) main duties?; and (Is/Was) (he/she) self- employed or (does/did) (he/she) work for someone else?)
Proportion equals white collar (Professional , technical; Managers , and administra tors , sales workers; and Clerical and kindred workers) versus others (Craftsmen and kindred workers; Operatives , except transport; Transport equipment operatives; Laborers; Farmers , farm laborers , etc. and Service workers).
Year Proportion Stl.d
1972 0 + 4927 1027 GSS 1973 0 + 5020 950 GSS 1974 0 + 5280 957 GSS 1975 0 + 4930 916 GSS 1976 0 + 4630 881 GSS 1977 0 + 4899 890 GSS 1978 0 + 4977 878 GSS
TEST ESTIMATE CHI F'ROB - _uN -- --..--. -- ...... -- Constant 496 plus or minus 0 0124 o . 227 Linear Trend Weishted Resression :: 5 + 59 -, 0. 0026(X) R Sauared 0891 I IJP rovelTlent 592 Fit 189 "M - Model: Constant
SPPRES
Prestige of respondent s spouse s occupation.
Proportion equals 40 to 89 versus 0 to 39.
Year Proportion Stud __M______"""-
1972 0 + 5015 1027 GSS 1973 0 + 5180 950 GSS 1974 0 + 5450 957 GSS 1975 0 + 4850 916 GSS 1976 0 + 4840 881 GSS 1977 0 + 4978 890 GSS 1978 0 + 5148 876 GSS ------'---'-----,------'------. -- - -.... - -.--.- .-- .....--- ....- _.-- .------.------...... -.....- -'-.------. -.------..------
- 21 0-
TEST ESTIMATE CHI sa PROB - -N .....n..- - Constant 507 plus or minus 0. 0124 10. 111 Linear Trend Weighted Regression Y = 4. 77 - 0. 0022 (X) R SGuared o . 0488 I DIP roveRient o . 508 Fit 079 ..--.--. -.- 'M'__.._. Model: Constant
SPREL
What is your (SPOUSE I S) religious preference? Is it Protestant , Catholic Jewish, some other religion , or no religion?
Proportion equals Protestant versus Catholic , Jewish , None , and Other.
Year Proportion Study
1973 0 . 6630 1068 GSS 1974 0 . 6620 1065 GGS 1975 6760 1000 GGS 1976 0 . 6520 971 GSS 1977 6574 972 GSS 1978 6429 955 GSS
TEST ESTIMATE CHI PROB Constant 659 plus' or Rlinus 0. 0122 744 Linear Trend Weighted Regression Y = 8. 23 - 0. 0038 (X) R SGlJared 4370 I RIP "oveRlent 1.1 284 Fit 814 Model: Constant
SPREL16
In what religion was your (husband/wife) raised?
Proportion equals Protestant versus Catholic , Jewish , None , and Other. ------====------.------.------.---....,- --.------...... -- -. -- ---.- ....- --.... --.. ..-.- ...... -- ---.------.- -.._. ------....'------_. -.--.------..- --. ---...... ,--- -- "..- --'- - --.------.---- _....------"-'-- --
211-
Year Proportion Stud!:
1973 6860 1067 GSS 1974 6710 1055 GSS 1975 6920 992 GSS 1976 6710 965 GSS 1977 6760 963 GSS 1978 6800 947 GSS
TEST ESTIMATE CHI PROD "R - M" Constant 679 plus or minus 0. 0121 1.7 o . 895 Linear Trend Weighted Regression Y = 2. 74 - 0. 0010 (X) R Sauared o . 0514 I ",P rovement 765 Fit 817 Model: Constant
SPWKSLF
Spouse s employment status. (coded from the following question: (Is/Was) (he/ she) self-employed or (does/did) (he/she) work for someone else?)
Proportion equa Is Self-employed versus Someone else.
Year Proportion Stud!: ._u...... -.... 1977 1124 890 GSS 1978 0.1347 876 GSS
TEST ESTIMATE CHI PROB "M -'-- --_u" .._--- Constant 123 plus or minus 0. 0156 o . 150 Linear Trend Weighted Regression Y =-44. 06 + 0. 0223 (X) R Saua red 1 . 0000 Improvement 150 Fit 1 . 000 Model: Constant ._. ------..------. ------.- - --.-- ._------'--"--'.-...... - ....------.------
212-
SPWSTA 1
Last week was your (wife/husband) working full time , part time , going to school , keeping house , or what?
Proportion equals Working full time versus Working part time , With a job but not at work because of temporary illness , vacation , strike , Unemployed laid off , looking for work , Retired , In school , Keeping house , and Other.
):eaJ' Proportion StlJd': 1972 4910 1158 8SS 1973 5390 1076 8SS 1974 5310 1065 8SS 1975 5120 1002 GSS 1976 4950 974 GSS 1977 5164 974 GSS 1978 5260 960 GSS
TEST ESTIMATE CHI PROB Constant 516 plus or minus 0. 0118 215 Linear Trend Weighted Regression Y = -1. 52 + 0. 0010eX) R Sauared o . 0106 Improvement 725 Fit 0.145 Model: Constant
SPWSTA2
Last week was your (wife/husband) working full time , part time , going to school , keeping house , or what?
Proportion equa Is Keeping house versus Working full time , Working part time, With a job , but not at work because of temporary illness , vacation strike, Unemployed , laid off , looking for work , Retired , In school and Other.
Year Proportion StlJd': 1972 3180 1158 GSS 1973 2820 1076 GSS 1974 0 . 2850 1065 GSS 1975 0 . 2620 1002 8SS 1976 2660 974 GSS 1977 2567 974 GSS 1978 2333 960 GSS ------"; ------.-...... ------... ------.------.-.- --- -..-.- ----. _._---... _. --..- ... -- '.------.------.. ------..-."'....--.-.._....- ,... ..- --...- - --.-.--.-- -. -- '.'_.- ---.- --- -...-:.:::------.---. ------.--
213-
TEST ESTIMATE CHI sa PROB __'0- - - .------Cons tant 272 plus or minus 0. 0105 22. 001 Linear Trend Weishted Resression Y = 23. 19 - 0. 0116(X) R SGuared 8801 I Ifl rovement 20. 001 Fit o . 752 _,"OM' Model: Sisnificant Linear Trend Fits
SRCBELTl
SRC (Survey Research Center , University of Michigan) new belt code.
Proportion equa Is Central city of 12 largest SMSAs , and Central city of remainder of the 100 largest SMSAs versus Suburbs of 12 largest SMSAs Suburbs of the remaining 100 largest SMSAs, Other Urban (counties having towns of 10 000 or more), and Other rural (counties having no towns of 10 000 or more).
Year Proportion StlJd\:
1972 3174 1613 GSS 1973 2719 1504 GSB 1974 2642 1484 GSS 1975 2564 1490 GSS 1976 2308 1499 GSB 1977 2275 1530 GSS 1978 2180 1532 GSS
TEST ESTIMATE CHI PROB -.-.- -.... 'M' __..M. - M__- - Constant 253 plus or minus 0. 0084 55. 001 Linear Trend Weishted Resression Y = 29. 59 - 0. 0149(X) SGIJa red 9048 Improvement 50. 001 Fit 397 -0- ..., Model: Sisnificant Linear Trend Fits ------.. ------.-- -- -..- -- -.------.-...------.------
214-
SRCBELT2
SRC (Survey Research Center, University of Michigan) new belt code.
Proportion equals Other rural (counties having no towns of 10 000 or more) versus Central city of 12 largest SMSAs , Central city of remainder of the 100 largest SMSAs , Suburbs of 12 largest SMSAs , Suburbs of the remaining 100 largest SMSAs , and Other Urban (counties having towns of 10 000 or more).
Year Proportion StlJd 1972 1655 1613 GSS 1973 o. 1722 1504 GSS 1974 1766 1484 GSS 1975 0.1711 1490 GSS 1976 1935 1499 GSS 1977 O. 1784 1530 GSS 1978 O. 1906 1532 GSS
TEST ESTIMATE CHI PROB "- 'ON Constant 178 plus or minus 0. 0074 o . 364 Linear Trend Weighted Regression Y :; -7. 16 + 0. 0037(X) R SGuared 6143 Imp rovement o . 040 Fit o . 785 Model: Constant
STUDIOUS
This mnemonic along with all those that dea1with desirable children ' s qualities (MANNERS , SUCCESS , HONEST , CLEAN , JUDGMENT , CONTROL , ROLE AMICABLE, OBEYS; RESPONSI , CONSIDER , INTEREST, and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically.
SUCCESS
This mnemonic along with all those that deal with desirable children qualities (MANNERS , SUCCESS, HONEST , CLEAN , JUDGMENT, CONTROL , ROLE, AMICABLE , OBEYS , RESPONSI , CONSIDER , INTEREST, and STUDIOUS) are collected under QUALITIES OF CHILDREN which appears alphabetically. ...-..------.------.- .------. ------.---- ..,...... ------.-..,--- .-.. ------.. - "" ------... ------.. ------.------(). ------...
215-
Do you think a person has the right to end his or her ow life if this per. on .
SUICIDE I
Has an incurable disease?
Proportion equals Yes versus No and DK.
:i-..V..r Pro..ortion Stud!: 1977 3793 1524 GSS 1978 3838 1532 GSS
TEST ESTIMATE CH I PHOB ft- - ,.- -" -., - no. - -. .0'..,. 'M' MO'"0' "M -- _0...... - ".. "0' 'M' -... ,... .,...... ,.,. .... "0. ..,. .,.. M",'...... "0. .0.' "0- .- -.. -0.' ".. "0' Constant. 382 plus Dr minus 0. 0176 "792 Linear Trenl Weighted Regression Y = -8. 61 + 0. 0045(X) R SCHJared :1. . 0000 Imp rovement. O. Fi t. C). :t . 000 - - n., -- -- -. .- .n. .- .... n', ...... ,.. _. ..., -... .0- ...... 0. ... _.. "" M" .... ,.., 'M' -. OM'_.. .0.. -., "0...... - MO'.... .0. -". ..., "0"- n...... t+d-.l: Cons t.ant.
SUICIDE2
Has gone bankrupt?
Proportion equals Yes versus No and DK.
Year Proportion Stud!: .__a..-_== 1977 0683 1523 GSS 1978 1531 GSS
TIST ESTIMATE CHI sa PROS Constant 061 plus or minus 0. 0086 119 Linear Trend Wei.hted Re.ression Y = 26. 60 - 0. 0134 ( X) R SQua red 1 . 0000 I...rov...nt 119 Fit 1 . 000
110..1: Cons t.nt. ------.------...... ----.--....------_.- --. ------.------.-.--..- ---.. -._------.------..------.------.. ---.------.------
216- continued from question preceding SUICIDEl
SUICIDE3
Has dishonored his or her family?
Proportion equals Yes versus No and DK.
YeaT' Proportion StlJd
1977 0749 1523 GSS 1978 0627 1531 GSS
TEST ESTIMATE CH I f'ROB Const.ant, 068 plus or minus 0. 0091 0.181 Linear Trend Weighted Regression Y = 24. 09 - 0. 0121(X) R SGIJared 1 . 0000 Improvement 181 Fi t. 1 + 000 Model: Constant.
SUICIDE4
Is tired of living and ready to die?
Proportion equals Yes versus No and DK.
Year Proportion StlJd
1977 1326 1523 GSS 1978 1182 1531 GSS
TEST ESTIMATE CHI SQ PROB _0' Constant 125 plus or minus 0. 0120 227 Linear Trend Weighted Regression Y = 28. 62 - 0. 0144(X SG'Ja T' 1 . 0000 I ITP rovelJ.ent 227 Fit 1 . 000 _. N"_- _. Model: Const.ant ;:::- .-- -.... -- ..- - .... ().-...... ,...... -.. - - - ...... ,., .- - .....-""-. - ....- ...... ,- .....- ...... - -- ...... -..- -...... -...... -- .- ,...... - -..-.. _.. .- -._..- .... - -...... -- .... ._. -.:::_.. _...... -,.- .-.-...... -...... -..
217-
TAX
Do you consider the amount of federa 1 income tax which you have to pay as too high, about right, or too low?
Proportion equals Too high versus About right , Too low , respondent pays no income tax , and DK.
'fe F' r' (;JPO rt :i. CJ/" Stud!:! ::r. "'...... _n....","""'-" '"'0''''''''''''''' 194' o. n49 2309 A I F:'0392 1947 6076 :1. :1. 3"7 AIP0408 1948 o. :=j733 :L23 AIF:' 04:14 1949 4222 945 AIP04 1950 O. j343 :1. AIP04 52rPB 1951 0 . i204 :lO' IP()47:L 1952 7097 :1657 Y!P0486 1953 0 . .'964 129:1 (.Y!P0511 ;:I 7 !O L (.Y!P0560 :l9 6:1. :1. :1. 654 IPO )81 1959 5102 j:J 9 IPD61:L 1961 0 ,. 456 2D63 (.UPD641 1962 0,. 4699 :I :; :I :I I PD6 1962 473:1 3 2 (.UPD660 :J96 (). 52 4367 IPD66? 1964 () 0 5 3474 AIPD68c-) :1. 96c) 5177 :i:LO AIP0'724 :19. 0 0 5792 j 2 ;: AIP0742 1969 6877 :t6::n IF'D776 :t'lT5 O. 361 :I ):I 7 AIF'D864 1976 0 . 5840 1491 GSS 1977 6533 523 G("c'
TEST ESTIMATE CHI F'I: .... ".. '0- ... -,...... 0 ..,. ..,. ..,. -. .0...... n. CCJI"!:;tal"t 555 plus or mil"us 0047 Bf.)( ) , 4 001 L :i. 1" G) a T' T r' (.,:'1" 1.1 Weishted Resressicl" m.:I 0 9 + O. OO:L"5(X) R SGl.ar( 060B :r InP ro v(. nl E' l"t. :I 6. .::: 0 () () :L Fit .'() . 3 .::: 0 00:1. 'NO-...... N" - ..n .- -. - - -. - - - - - 0- .... M'. ..M -.- "N - -...... M" .... -- .- - .'M :fl(ldel: Sil: l"ificaf't, L.inear COIYPOI"(':'l"t
TEENPILL
Do you think birth control information should be available to teenagers who want it , or not? ------.------.--.-.....------.------.-..- .-. ------..------.-.-...... -....------.-.... _.------.------...------(.::: ------"----- .--. - -....--
218-
Proportion equa Is Should be available versus Should not be available Depend s on age/grade , and No opinion.
Year ProF-ortion Stl.ld!: _0_"'''__'----- 1974 7780 1471 GSS 1975 7870 1483 GSS 1977 8201 1523 GSS
TEST ESTIMATE CHI PROD --.- - M.._- - - Cons tant 797 plus or minus 0. 0120 009 Linear Trend Wei hted Resression Y =-27. 79 + 0. 0145(X) R Saua red 9834 I mF- rovelrent o . 003 Fit o . 706 Model: Sisnificant Linear Trend Fits
TEENS Number of members in household 13 to 17 years old.
Proportion equals one or more versus none.
Year ProF-ortion StlJj!:
1972 2670 1613 GSS 1973 2310 1504 GSS 1974 2510 1484 GSS 1975 2270 1490 GSS 1976 2060 1497 GSS 1977 2181 1522 GSS 1978 2141 1532 GSS
TEST ESTIMATE CH I PROD Cons tant 230 plus or minus 0. 0081 23. 001 Linear Trend Wei hted Resression Y = 16. 23 - 0. 0081 (X) R Saua red 6745 I mF- rovement 15. 001 Fit 167 Model: Sisni ficant Linear Trend Fits ------..-....---.--..------_. - .-- --..-.- ..., -..-- -. --.-.--- -.- -.-.- -.-.------''''''''''''''''''''..--...... - ----...... ,.-_..... - - ---.- -.-- - _..... --- -..-..... -.- -- .--- ,.-
- 219-
TICKET
Have you ever received a ticket , or been charged by the police , for a traffic violation--other than for illegal parking?
Proportion equals Yes versus No.
Year PJ' oportion Stud
1973 4240 1502 GSS 1974 4140 1483 GSB 1976 4100 1498 GSS 1977 0 . 4306 1528 GSB
TEST ESTIMATE CHI PROEI
Constant 420 plus or minus 0. 0127 (). 6 'j5 Linear Trend Wei hted Re ression Y = -1. 44 + 0. 0009(X) R SGIJa red o . 0324 I "II' rovement 810 Fit o. 543 - _. 00-'''''_'- Model: Constant
TRUST
Generally speaking, would you say that most people can be trusted or that you can t be too careful in dealing with people?
Proportion equals Most people can be trusted versus Can t be too careful Other, depends , and DK.
Year Proportion Stud 1964 0 . 5339 1446 ELEC64 1966 5313 1278 ELEC66 1968 5517 1343 ELEC6B 1972 4580 2179 ELEC72 1972 4580 1612 GSS 1972 4928 1463 NDF(C H)46 1973 4590 1502 OSS 1974 0 . 4662 2486 ELEC:74 1975 3930 1485 OGS 1976 5131 2401 ELEC76 1976 4440 1497 GSS 1978 3890 1::32 GSb ------======------... ------.---- - ..------. ------'-'------: --( . _.. - --
220-
TEST ESTIMATE CHI sa PROB Constant 473 plus or minus 0. 0070 185. 001 Linear Trend Weighted Regression Y = 17. 51 - 0. 0086(X) R SGuared 5913 Improvement 90. 001 Fit 95. 001 Model: Significant Linear Component
TVHOURS
On the average day, about how many hours do you personally watch television?
Proportion equals 3 to 24 hours versus 0 to 2 hours.
Yec:,' F'roF-oT'. ion Stud!: 1964 . 6309 1940 S760 1483 GSS 1975 ..I 5230 1977 4977 1525 GSS 1978 0 . 4590 1525 GSS 1980 0 . 5028 1454 6SS
TEST ESTIMATE CHI f'ROB Constant 530 plus or minus 0. 0111 126. 001 Linear T,' end Weighted RegT'ession Y = 19. 80 - 0. 0098(X) R S(waT' 8794 - I IiP rovement. 114. 001 Fit 12. 007 Model: Sisni ficant Linear Component
UNEMP
At any time during the last ten years , have you been unemployed and looking for work for as long as a month?
Proportion equals Yes versus No. ------"------.-- - --.------..-- -- .------. ------....------...... "-----....------...... ,.- - -.,.... -- ..- ...... _- -.-- -.-.--- -- .... ------..--- _._---.;::.:;:------.------.-.-
221-
Year Proportion StlJd!: 1973 0 . 2790 1503 GSS 1974 2590 1482 GSS 1975 2760 1479 GSS 1976 0 . 2760 1498 GSS 1977 2849 1527 GSS 1978 2928 1530 GSS
TEST ESTIMATE CHI F'ROB Constant 278 plus or minus 0. 0094 o . 562 Lineay' Trend Weishted Resression Y ;: -8. 06 + 0. 0042 (X) R SGua red 4828 I RIP roveRlent . 3 0.123 Fit 648 Model: Constant
UNION
Do you (or your (SPOUSE)) belong to a labor union? (Who? )
Proportion equa Is Yes , respondent belongs , Yes , spouse belongs , and Yes , both belong versus No , neither belong.
Year Proportion Stud!: 1973 2800 1495 GSS 1975 2590 1484 GSS 1976 2530 1482 GSS 1978 2149 1531 GSS
TEST ESTIMATE CHI sa PROB - .--- - - M.._- - Constant 250 plus or minus 0. 0112 18. 001 Linear Trend WeiShted Resression Y ;: 25. 79 - 0. 0129(X) R SGIJared 9562 I RIP rovenlent 17. 001 Fit o . 683 - - "0'"M _.M Model: Sisnificant Linear Trend Fits ------. -- -.. ------.... ------
222-
UNRELAT
How many persons in the household are not related to you in any way?
Proportion equa I s a versus I to 8 persons.
Year Proportion Stud!:
1972 9526 1457 GSS 1973 9430 1350 GSS 1974 9460 1315 GSS 1975 9481 1290 GSS 1976 9470 1263 GSS 1977 9519 1269 GSS 1978 9471 1229 GSS
TEST ESTIMATE CHI PROB Constant 948 plus or minus 0. 0046 928 Linear Trend Weishted Regression == 1 . 00 - 0. 0000 (X) R Sauared 0027 I If.P rovetr,ent 1 . 000 Fit 862 Model: Constant
US INTL
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?
Proportion equals Active part versus Stay out and DK. ------.....------.-- -... --.. - -. ------..------..---...... -. -- -...------.- --. -----. -- --. -. -:------. ------
223-
Year Proportion Stl.Jd 1945 7010 3074 AIP0357 1946 7506 3104 AIP0366 1946 7765 3194 AIP0384 1947 7237 2989 AIP0403 1947 0 . 6600 1273 NOHC151 1947 0 . 6800 537 NOHCT"..49 1948 7000 1289 NOI:;C156 1948 7000 1301 NOfi:C159 1949 O. 6800 1273 NOF C169 1950 6873 1340 AIF'0467 1950 6700 1284 NOF C273 1950 6600 1258 NOHC295 1952 6800 1306 NOf C332 1953 7300 1293 Nm,C337 1953 1.00 1262 NOf C348 1954 6900 1207 NOI:;C 1955 7200 1225 NOF C370 1956 7100 1286 NOF C399 1965 7903 1464 :)7 1973 6590 1495 GSS 1975 6060 1414 GSS 1976 6320 1496 GSS 1978 6399 1530 GSS
TEST ESTIMATE CHI PROB --- - ___M Constant 706 plus or minus 0. 0047 380. 001 Linear Trend Wei hted Re ression Y = 5. 46 - 0. 0024 (X) R Saua red 2277 I RIP ,' ovement 83. 001 Fit 297. 001 .--- - "M '.'.OM'- ... Model: Si nificant Linear Component
USUN
Do you think our government should continue to belong to the United Nations , or should we pull out of it now?
Proportion equals Continue to belong versus Pullout now and DK. ------.-".. ..--.. ..- -- _.. - .,..,...... ,... ..- ..- ...... '. .,.'..., '....-. "".... ,...... -. _..------..----..---.-- .... ,.- "., ..,....-...... ,..,...... , .,.. . . ,." . : ) -----."....---- "",."...:.';.",... ,,,...... ,...... :::,;:::::...... ,...... ,.,.." ..., -...... ' - '
224-
Year Proportion StlJd!: 1951 7800 1236 NORC298 1952 8500 1265 NORC325 1953 8400 1293 NORC337 1953 8400 1291 NORC341-342 1953 7400 1233 NORC349 1955 0 . 8800 1262 NORC374 1956 0 . 8800 1224 NORC386 1956 8700 1286 NOr C399 1962 8959 1614 AIF'0654 1965 8544 1463 SRS857 1973 7940 1496 8SS 1975 7530 1488 8SS 1976 7270 1497 8SS 1978 7953 1529 8SB
TEST :) T I Ivir:;j '( E CHI bC! PI:
CCJnf.;tant 833 plus or minus () (0 () (.1 ::i 3 B4. J 001 L :i. nE a f' TY'(.:. Wei hted Re ression :::: 6. (; (. (.r();? '? I: ua Y't:, o ,. ;?03: I IiF' rOVf.:'m ) I: 00 J F:it, ):1 ' 00 J - R'O .,...... ,.. ..n "...... n. . n n.' Model: Si nificant Linear CO/'I P D n f:'\ n '
USWAR
Do you expect the United States to fight in another war within the . next ten years?
Proportion equals Yes versus No and DK. ------.------..------....,....".-.... ------.:;:-: ------.. ---
- 225-
Year Proportion StlJd';
1946 2800 1263 NORC 1 46 1947 4800 1307 NO/;:C149 1947 4900 1273 NORC15:L 1947 5700 1290 NORC 1 52DU".:L 1948 5342 :l578 AIP0412T 1948 6701 1546 AIP0415K 1948 5578 1540 AIP0423K 1948 5883 1489 AIP0423T 1948 0 . 6500 1271 NORC 155DU,m :1. 1948 5300 1289 NOr C 156DU. 1948 5800 1295 NORC158DLJ"..1 1948 6600 1257 NORC161DLJ. 1948 6200 1288 C 1 62DlJ.." 1 1949 0 . 5000 1261 NtmC163DLJ....1 1949 5500 1301 NO/:;C164DU...1 1949 5300 1281 C165DlJ'-1 1949 5000 1283 N(JI: C 1 t'16DlJ....1 1949 4800 1284 NORC167DlJ....1 1949 4700 1232 NOf;:C168DU....1 1949 5200 1273 NORC 169DlJ''''1 1949 0 . 5800 :l260 Nor C170DU""1 1949 5200 1288 C171DU".1 1950 5500 1284 C273DU""1 1950 5700 1270 NORC276-' !.0 1950 6700 :74 NOI;:C280..,,281 1950 6100 1276 NOI;:C282....283 1957 5588 1557 AIP0582 1973 5660 1494 GSf3 1975 7040 1489 GSS 1976 5730 773 GSS 1978 5409 1529 G(-
TEST ESTIMATE CHI PROB Cons tant 557 plus or minlJs 0. 0048 1139. 001 Linear Trend Weighted Regression Y = -3. 78 + 0. 0022(X) SGlJa red 0535 I niP rovement 70. 001 Fit 1068. 001 OM' MOo Model: Signi ficant Linear Component
USWARY
Do you expect the United States to fight in another world war within the next ten years? ------.-.------. ------.------.:;.::: --- -.. ------
226-
Proportion equals Yes versus No and DK.
Year Proportion Stud
1950 0 . 8000 1302 NORC287 1950 0 . 7400 1284 NORC288 1950 0 . 6600 1305 NORC291 1950 0 . 7900 1275 NORC292 1950 0 . 8300 1258 NORC295 1951 7400 1236 NORC298 1951 0 . 6400 1237 NORC300-297N 1951 0 . 7000 1289 NORC302 1951 6700 1282 NORC307 1951 7400 1292 NORC312 1951 7100 1299 NORC313 1976 4359 718 GSS
TEST ESTIMATE CHI PROB N.. Constant 726 plus or minus 0. 0072 511. 0 001 Linear Trend Weishted Resression Y = 25. 57 - 0. 0127(X) R SCHJared 7142 I Ifl? rovement 281. 001 Fit 229. 001 . Model: Sisni ficant Linear Component
VETYEARS
Have you ever been on active duty for military training or service for two consecutive months or more? What was your total time on active duty?
Proportion equals Yes, less than 2 years, Yes , 2- 4 years, Yes , more than 4 years , and Some , don t know how long versus No active duty.
Year Proportion Stud 1970 2423 3004 NORC4088 1974 0 . 2289 1481 GSS 1975 2190 1488 GSS 1977 2194 1522 GSS 1978 2109 1527 GSS ------.------.------.. ------.------.. ------.--- -.---...- _.._- - --. ------.----..-. _.------.-.. ----- .....- '--'-' ------. - --- ._------...------... -- ---_.------..,.------.------.--.------...,.- - -.- -:':::- -.-- .....-. ------_.,---..--. -.-
227-
TEST ESTIMATE CH I sa F'ROB Constant 227 plus or minus 0. 0088 118 Linear Trend Weishted Resression Y = 7. 65 - 0. 0038 (X) R SGIJa red 9366 I !TP rovement 008 Fit 955 Hodel: Constant
VOTE68
Now in 1968 , you remember that Humphrey ran for President on the Democratic ticket against Nixon for the Republicans , and Wallace as an Independent. Do you remember for sure whether or not you voted in that election?
Proportion equals Voted versus Did not vote and Ineligible
Year Proportion Stud\: n_u...".-.." 1968 7580 1391 ELECci8 1970 7290 1479 ELEC70 1972 6500 2650 ELEC72 1972 6690 1587 GSS 1973 6300 1475 GSS
TEST ESTIMATE CHI PROB Constant 685 plu or minus 0. 0100 90. 001 Linear Trend Weishted Resression Y = 53. 49 - 0. 0268 (X) R SGuared o . 9565 Improvement 85. 001 Fit o . 234 Model: SiSni ficant Linear Trend Fits
VOTE 72
In 1972 , you remember that McGovern ran for President on the Democratic ticket against Nixon for the Republicans. Do you remember for sure whether or not you voted in that election?
Proportion equals Voted versus Did not vote and Ineligible. ------...---...------..---....------.------.-...------..-.------...-....--...... --.. ------.::.;::.( .:; ------. . ------
228-
Year Proportion Stud\: 1972 7277 2284 ELEC72 1973 6980 1498 8SS 1974 6920 1464 GSS 1975 6590 1457 8SS 1976 6620 2797 ELEC76 1976 O. 6450 1474 8SS 1977 6202 1493 8SS
TEST ESTIMATE CHI PROB - M"__- R___- Cons tant 676 plus or minus 0. 0084 66. 001 Linear Trend Weighted Regression Y = 38. 24 - 0. 0190(X) SCHJa red 9443 Imp rovement 61.9 001 Fit 516 Model: Significant Linear Trend Fits
VOTE76
In 1976 , you remember that Carter ran for President on the Democratic ticket against Ford for the Republicans. Do you remember for sure whether or not you voted in that election?
Proportion equals Voted versus Did not vote and Ineligible.
Year Proportion StlJd\: 1976 7160 2403 ELEC76 1977 6522 1518 8SS 1978 6519 1511 8SS
TEST ESTIMATE CHI F'ROB - R__- - - Constant 682 plus or minus 0. 0126 25. 001 Linear Trend Weighted Regression Y = 69. 90 - 0. 0350(X) R SQuared 7534 Imp rovement 20. 001 Fit o . 025 Model: Significant Linear Component -----====------.,.....-...... ------.- - -- -:-.:::- - .---. .-- - --.
229-
WIRTAp
Everything considered , would you say tha t , in genera 1 , you approve or disapprove of wiretapping?
Proportion equals Disapprove versus Approve and No Opinion.
Year roportion Stud ." u- - -- .... 1969 0 . 4603 1273 AIP0785' 1974 7960 1481 GSS 1975 7980 1487 GSS 1977 7840 1528 GSS 1978 7796 1529 GSS
TEST ESTIMATE CHI PROB
Cons tant 749 plus or minus 0. 0098 488. 001 Linear Tr' end Weishted Resression Y =-63. 61 + 0. 0326(X) SalJa red o . 7547 I !TP rovement 313. 00:1 Fit 174. 00:1 Model: Sisni ficant Linear Component
WKSUB
Do you (does your (SPOUSE)) have a supervisor on (your/his/her) job to whom you are (he/ she is) directly responsible? (asked if respondent or spouse is currently working)
Proportion equa I s Yes versus No.
Year Proportion Stud 1972 7950 1176 GSS 1973 7800 1100 GSS 1974 7860 1063 GSS 1976 8070 1018 GSS 1977 8266 1119 GSS --..------.... - ---..------..--...... - -.... --...... ------...... ------...---....------...... -----..--- --...... ------.. -...... ------.... - -.-- ---.------. -- -....- --.. -. ------...... -.-...... ----..------....--__- -.-- -- -....-..--.. --.... -....----.------..-...... - --..---.. ----.. --..---
230-
TEST ESTIMATE CHI SQ PROB -.-- - H _M__" ... Constant 800 plus or minus 0. 0108 042 Linear Trend Weishted Resression Y =-13. 73 + 0. 0074(X) R SCHJared 6725 Imp rovement 009 Fit 373 Model: Sisnificant Linear Trend Fits
WKSUBS
Does that person (respondent s or spouse s supervisor, see WKSUB) have a supervisor on the job to whOm he or she is directly responsible? (asked if respondent or spouse is currently working) Proportion equals Yes versus No , DK , and No or DK on WKSUB.
Year Proportion Stud
1972 0 . 6280 1176 GSS 1973 0 . 6300 1100 GSS 1974 6370 1063 GSS 1976 6660 1018 GSS 1977 6735 1118 GSS
TEST ESTIMATE CHI PROB
Constant 647 plus or minus 0. 0129 o . 063 Linear Trend Weishted Resression Y =-19. 08 + 0. 0100(X) R SGuared o . 9564 IITPT' ovelTent o . 004 Fit 944 Model: Constant
WKSUP
In your (SPOUSE ' S) job , (do you/does he/she) supervise anyone who is directly responsible to (you/him/her)? (asked if respondent or spouse is currently working)
Proportion equals Yes versus No. ------.------..'--"" ------""---'-'''-'------.------.-...------.. ------...... ------. ---,....------...--.....--..-.---.- - -,.,- -.... -.-....-.------_...-.- --.-..-----""'''''''''''''''....-....-.,.... ------.------_..-'------.------...---..'------_..
231-
Year Proportion Stud!: 1972 3620 1145 GSS 1973 4090 1063 GSS 1974 4140 1030 GSS 1976 3950 946 GSS 1977 3878 1078 GSS
TEST ESTIMATE CHI PROB M- - - - _N - Cons tant 393 plus Dr minus 0. 0135 094 Linear Trend Wei hted Re ression Y = -4. 28 + 0. 0024(X) R SalJ red 0379 Improvement 525 Fit o . 057 M_- - Model: Constant
WKSUPS
Do any of those persons (individuals supervised by respondent or spouse) supervise anyone else? (asked if respondent or spouse is currently working)
Proportion equa 18 Yes versus No , DK, and No or DK on WKSUP.
Year Proportion StlJd!:
1972 1280 1145 GSS 1973 1440 1063 GSS 1974 1330 1063 GSS 1976 1350 946 GSS 1977 1289 1078 GSS
TEST ESTIMATE CHI PROB .ON Constant 133 plus or minus 0. 0093 831 Linear Trend Wei hted Regression Y = 1 . 14 - 0. 0005 (X) R SalJa red 0411 Imp roveRlent 841 Fit 700 n.. Model: Constant ------....----.----..------. ------.------..------.------..------.------.....-.-....--- --.------
232-
WORD SUM
Total number of correct words (out of 10 on vocabulary test).
Proportion equals 6 to 10 correct versus 0 to 5 correct.
YeaT' F'roPoT'tion StlJd\:
1974 5720 1484 GSS 1976 5990 1438 GSS 1978 6003 1486 GSS
TEST ESTIMATE CHI F'ROB Constant 590 plus or minus 0. 0148 211 Linear Trend Wei hted Re T'ession Y =-13. 33 + 0. 0070(X) R SalJared 7836 Imp T'ovement 115 Fit 580 Model: Constant
WRKSLF
Respondent' s employment status. (coded from the following question: (Are/Were) you self employed or (do/ did) you work for someone else?)
Proportion equals Self-employed versus Someone else.
Year Proportion Stud\:
1977 0924 1417 GSS 1978 0997 1404 GSS
TEST ESTIMATE CHI PROB
Cons tant 096 plus or minus 0. 0111 o . 520 LineaT' Trend Wei hted Re ression Y =-14. 27 + 0. 0073(X) R Sa'.lared 1 . 0000 Improvement o . 520 Fit 1 . 000 Model: Constant ------.------.------.------. ------....- ----.... -....-.. ------.------.:; - -. ---.-- -
233-
WRKSTATI
Last week were you working full time , part time , going to school , keeping house, or wha
Proportion equals Working full time , Working part time , With a job , but not at work because of temporary illness , vacation , strike , and Unemployed la id off , looking for work versus Retired , In school , Keeping hous and Other. Year Proportion Stud
1972 5920 1613 GSS 1973 5660 1504 GSS 1974 5680 1484 GSS 1975 5730 1490 GSS 1976 5610 1499 8SS 1977 6261 1530 GSS 1978 6090 1532 GSS
TEST ESTIMATE CHI F'ROB Constant 586 plus or minus 0. 0095 23. 001 Linear Trend Wei hted Re ression Y :;-10. 89 + 0. 0058(X) R Sauared o . 2614 Improvement 013 Fit 17. o . 004 Madel: Si ni ficant Linear Component
WRKSTAT2
Last week were you working full time , part time , going to school , keeping house , or what?
Proportion equals Retired versus Working full time , Working part time With a job , but not at work because of temporary illness , vacation , strike Unemployed , laid off , looking for work , In school , Keeping house , and Other.
Yesr PT' oportion Stud!: ",-".-...... n .... 1972 0890 1613 GSS 1973 1020 1504 GSS 1974 0 . 1130 1484 8SS 1975 1110 1490 GSS 1976 1170 1499 GSS 1977 0993 GSS 1978 1025 ------.------.------..- - ---.---.... ------""-''''--' ------.- -'------
234-
TEST ESTIMATE CHI sa PROB 'N' -.- _n - Cons tant 104 plus or minus 0. 0059 154 Linear Trend Weishted Resression Y = -3. 06 + 0. 0016(X) R Saua red 1000 Improvement 279 Fit 146 Model: Constant
WRKSTAT3
Last week were you working full time , part time , going to school , keeping house , or what?
Proportion equals Keeping house versus Working full time, Working part time , With a job , but not at work because of temporary illness , vacation strike , Unemployed , laid off , looking for work , Retired , In school , and Other.
YeST' Proportion Stud!: 1972 0 . 2680 1613 8SS 1973 2800 1504 8SG 1974 2810 1484 8GS 1975 2700 1490 8SS 1976 2850 1499 8SS 1977 2346 1530 8GS 1978 2461 1532 8SS
TEST ESTIMATE CHI PROB -- --. n--
Constant 265 plus or minus 0. 0085 17. o + 008 Linear TT' end WeiShted Re re55ion 11. 21 - 0 0055 (X) Sauared 3807 Improvement o + 008 Fit 10. O. 058 Model: SiSni ficant Linear Trend Fits
WRKSTAT4
Last week were you working full time , part time , going to school , keeping house , or what? ------.--. ------.------_._--""..... - -.------..-...... -...... -- ....--.... ------: - .------
235-
Proportion equals Working full time versus Working part time , With a job but not at work because of temporary illness , vacation , strike , and Unemployed , laid off , looking for work.
Year Proportion Stl.Jd!:
1972 7850 955 GSS 1973 7550 851 GSS 1974 7530 843 GSS 1975 7280 854 GSS 1976 7360 841 GSS 1977 8090 958 GSS 1978 7674 933 GSS
TEST ESTIMATE CHI PROB _-"'M"H-" -'- -- Cons tant 765 plus or minus 0. 0107 24. 001 Linear Trend Weishted Resression Y = -2. 79 + 0. 0018(X) R SGuared 0110 Imp rovement 0.1 o . 790 Fit 24. 001 Model: Not constant, not linear
WRKSTATS
Last week were you working full time , part time , going to school , keeping house , or wha t?
Proportion equals Working part time versus Working full time , With a job but not at work because of temporary illness , vacation , strike , and Unemployed , laid off; looking for work.
Year Proportion Stud!:
1972 1260 955 GSS 1973 1570 851 GSS 1974 1280 843 (;SS 1975 O. 1700 854 GSS 1976 1560 841 GSS 1977 1117 958 GSS 1978 1490 933 GSS ------.------_..------.---.------.-.---..------"---'--. ---,.-.-- - --.------.:::------. --
236-
TEST ESTIMATE CH I PROB ___N.- N Constant 139 plus or minus 0. 0088 20. o . 003 Linear Trend Weishted ReSression := 0. 26 - O. OOOl(X) R S uared o . 0005 Improvement -0. 1 . 000 Fit 20. 001 Model: Not constant, not linear
WRKSTAT6
Last week were you working full time , part time , going to school , keeping house, or wha
Proportion equals Unemployed , laid off , looking for work versus Working full time , Working part time , and With a job , but not at work because of temporary illness , vacation , strike.
Year Proportion Stud 1972 0 . 0480 955 8SS 1973 0410 851 8SS 1974 0640 843 8SS 1975 0710 854 8SS 1976 0740 841 8SS 1977 0386 958 8SS 1978 0418 933 8SS
TEST ESTIMATE CHI PROB Constant 050 plus or minus 0. 0055 22. 001 Linear Trend We i Shted Res ress i on := 1. 99 - 0. 0010eX) R SalJa red 0046 I ITIP rovement -1. 1 . 000 Fit 23. 001 Model: Not constant, not linear
XMRSEX
What is your opinion about a married person having sexual relations with someone other than the marriage partner--is it always wrong, almost always wrong, wrong only sometimes, or not wrong at all? .------.... - -. -.... ------...... ------.------.-.-...-() ---- . -----/;' ...... ----.------...... (. ;..." ...... --_.- .... -...... -"...... ----...... --.-- ...... ,...- ...... - .... ------.-, ....-..- .... -..- .... --...... ---- ..., , - ,...,...... "------.---. --- -,,,. --.----- ')' (-- -.....------,;::.:::(----,( .,-.:,. ------.
237-
Proportion equals Always wrong versus Almost always wrong, Wrong only sometimes , Not wrong at all , and DK.
Yf!'Clr Propor-Lic:,n St.UCj ""'0__"''' ..- ..n...'"" ..- n.' u...... n....,,,",'"
:l97() O. /23 ;:SO:l 6 DF:C4 (Ji:1 197 6(1:10 :I :)() 0 19/4 :l4(:J 197b 67EJO :l4(l4 1977 /242 :I ! i::: ::1 1978 O. 6 :iOO :I i ::: (:, I F'
TEBT EST Iivi(ITF CH I bi. F'I: ..n .... .- n.. ...' -- "" ,... n...... oM .. '" ...... -.. n" ,.,...... ,. .- ...... -...... -...... CC)n ;tant 704 plus or minus OOB(? :)1 () () .I L.in( aY' Tr(,:!nci Weishted Resression :::: :11. ,.., (J, ()O .'4 (:\;. R S( UaY' f!'r. \?:L .:? I 1111"' Y' () V€ IYI(;" n J 3. OOJ Fi t ::: (::c -! . .;:: o OOJ ...... n.."" ...... ,'n ...... n' .... .,., ...... n. .,...... n...... n ...... Model: Sisnificant Linear Component
XMOVIE
Have you seen an X-rated movie in the last year?
Proportion equals Yes versus No and DK.
Year F'roporticm Stud -....-...'''oO .... 1973 2520 1500 8SS 1975 1880 1489 8SB 1976 1820 1495 8SS 1978 1488 1532 8SS
TEST ESTIMATE CHI sa PROB Constant 187 plus Dr minus 0. 0100 51. 001 Lirlear Trend Weishted Resression Y :: 38. 67 - 0. 0195(X) R SalJared 9390 InlProvement 48. 001 Fit O. 198 Model: Sisnificant Linear Trend Fits ------.------.---.-. .-. -- -_.------...... --..------.( -- . - ----
238-
XNORCSIZ1
NORC size of place.
Proportion equals Within an SMSA and (a) a suburb of a large central city, (b) a suburb of a medium size central city, (c) an unincorporated area of a large central city (division , township, etc. ), and (d) an unincorporated area of a medium central city versus Within an SMSA and (a) a large central city (over 250 000) and (b) a medium size central city (50 000 to 250 000) and Not within an SMSA, (within. a county) and (a) a small city (10 000 to 49 999), (b) a town or village (2 500 to 999), (c) an incorporated area less than 2 500 or an unincorporated area of 1 000 to 2 499 , and (d) open country within larger civil divisions , e. g., township, division.
Year ProPortion StlJd!:
1972 3063 1613 GSS 1973 3763 1504 GSS 1974 3740 1484 GSS 1975 3570 1490 ass 1976 3769 1499 ass 1977 3830 1530 ass 1978 3995 1532 ass
TEST ESTIMATE CHI PROB Cons tant 366 plus or minus 0. 0093 38. Linear Trend Wei hted Re ression Y =-21. 60 + 0. 0111(X) R Sauared 5867 Improvement 23. 001 Fit 15.1 010 MM - Model: Si ni ficant Linear Component
XNORCSIZ2
NORC size of place.
Proportion equals Within an SMSA and (a) a large central city (over 250 000) and (b) a medium size central city (50 000 to 250 000) versus Within an SMSA and (a) a suburb of a large central city, (b) a suburb of a medium size central city, (c) an unincorporated area of a large central city (division , township, etc. ), and (d) an unincorporated area of a medium central city and Not within an SMSA, (within a county) and (a) a small city (10 000 to 49 999), (b) a town or village (2 500 to 9 999), (c) an incorporated area less than 2 , 500 or an unincorporated area of 1, 000 to 499 , and (d) open country within larger civil divisions , e. g., township, division. ------.- -.. ------.-...... -...... -.... ------..------:.:::--- - -.. ------
239-
Year Proportion Stud!: 1972 0 . 3856 1613 8SS 1973 3185 1504 8SS 1974 3113 1484 8SS 1975 3121 1490 8SS 1976 0 . 2949 1499 8SS 1977 2791 1530 8SS 1978 2644 1532 8SS
TEST ESTIMATE CHI PROB Constant 308 plus or minus 0. 0089 64. 001 Linear Trend Weighted Resression Y = 32. 44 - 0. 0163(X) R Scwa red o . 8305 Imp rovelJlent 54. 001 Fit 10. 060 - -. .M' Model: Significant Linear Trend Fi
XNORCSIZ3
NORC size of place.
Proportion equals Not within an. SMSA , (within a county) and (a) an incorporated area less than 2 500 or an unincorporated area of 1 000 to 2 499 and (b) open country within larger civil divisions , e. township, division versus Within an SMSA and (a) a large central city (over 250 000), (b) a medium size central city (50 000 to 250 000), (c) a suburb of a large central city, (d) a suburb of a medium size central city, (e) an unincorporated area of a large central city (division township, etc. ), and (f) an unincorporated area of a medium central city and Not within an SMSA, (within a county) and (a) a small city (10 000 to 49, 999) and (b) a town or village (2 500 to 9, 999).
Year Proportion Stud!: 1972 1816 1613 8SS 1973 1589 1504 GSS 1974 0.1658 1484 8SS 1975 2128 1490 8SS 1976 2061 1499 GSS 1977 0 . 2085 1530 GSS 1978 2069 1532 8SS ------.------.---. - --. --....-.- - - -..-.- -. -- -. --.---- .---_.------..- --_. ------.-(.:: ....----.
240-
TEST ESTIMATE CH I PROB Constant 190 plus or minus 0. 0076 30. 001 Lineal' TT'end Wei hted Re T'ession Y =-15. 21 + 0. 0078(X) R S uaT'ed 5496 ImpT'ovement 17. 001 Fit 13. 017 Model: Si nificant Lineal' Component .- '-' - ...... - ..,.. ...- -- ...... ''''''''''''''''''''-.--...... -.....---.-()..,-..,...... -,...... 'y' :::: . ; () .... (jj() ( :.:.:: ) ...... ' , ':.. .;...... _-'" .:.':....,...... ,...... '''''''''''.:::.:: , ...
- 241-
Notes for Comp lation of Trends
AIPO 662, 721 , 788 have the following wording:
Do you think abortion operations should or should not be legal in the following cases:
Where the heal th of the mother is in danger. Where the child may be born deformed. Where the family does not have enough money to support another child.
A related series exists for the following item:
I don I t think public officials care much what people like me think.
::;tuci\:1 Year' F' T' OF' C) r't i ._.._n.""""'-"''''''''''''''- El.u 1952 O. b283 :I 7f.1 1956 :1740 ELEC 1960 () . 7303 :1902 ELECbO El.u EC,; 1964 O. 6(j. :120' 196!3 !.7 5::)7 ELEC68 FL.EC70 :L 9"70 49' :L EL.EC?2 :L 9"72 o . 48 'j. 0 !.6B() () . 4B7 1067 ELEC72A EI.I:::C)' :L 9"74 () . 4 5f.17 1974 3:L 1470 NDr C41 :?9 1976 () . 4426 23BB EL.EC76
E::;T I i"(i TE CHI ::;U F(Ul:.: TEST ...... 0" ""'0"""""""""''''''''''' ''''0''- 1)0 J CCJnst.ant 536 plus or minus v I) () 6 f: 1 (,I :..: I.inf. ar Tr(':' Wei hted ReSressiCJn :L 2 '0' () J; (J j, .i SGua T' f!:d o y :? n 0.. f,. .;. I)() j. :I !YIP rC:)Vf: IYE' : .i , 1)(.I.i. F:i. - - .M'...... 'M' .,.. .-. .... '... .,.. ..,...... Model: Sisnificant Linear COr/I F- ()n,::: nt"
AIPO 801 had the following filter: "Have you heard or read about the busing of Negro and white school children from one school district to another?" - 242:
GSS72 and 73 and the AIPO studies used the following wording:
Are you in favor of the death penalty for persons convicted of murder?"
The series includes the following variations:
What is the ideal size of a family? Husband, wife, and children. AIPOS 7
What do you consider is the ideal s ze of a family-- a husband and wife and how many children?
AIP02 3 3 AIP0488 AIP0515 AIP0808
How many children do you think should be in the family of ideal size? AIP03S3
What do you think is the ideal number of children for married couples? AIP0389
The series includes the following variations:
If you were asked to use one of these four names for your social class , which would you say you belong in--the middle class, lower class , working class, or upper class?
OPORS 2 AIP036S AIP0393 AIP0412 AIPOS02 AIP0783
If you were asked to use one of these four names for your social class, which would you say you belonged to--the middle class, lower class, working class, or upper class?
NORC166, NORCl68, NORC276-270
There I s qui te a bi t of talk these days about four di fferent social classes. If you were asked to use one of these four names for your social class, which would you say you belonged in-- ihe middle class, lower class, working class, or upper class?
ELECS2
Which social class do you believe yourself to be in--the lower class, working class , middle class, or upper class?
SRS330 , SRS876 243
Which social class do you consider yourself-- lower class, working class, middle class, or upper class?
SRS350
The series includes the following variations:
If you had to pick one, which of the following five social classes would you say you were in--upper class, upper-middle class, middle class, working class, or lower class?
NORC466(5/64), NORC466(6/6S), SRS857 , SRS870
By and large , do you think of yourself as being of the upper class, upper-middle class , middle class, working class, or lower class?
SRS760
There are many variations of the confidence question. For a detailed examination see Tom W. Smith, "Can We Have any Confidence in Confidence? Revisited, " GSS Technical Report No. 11 (Chicago: NORC , 1979) and Charles F. Turner and Elissa Krauss, "Fallible Indicators of the Subjective State of the Nation, American Psychologist 33 (May, 1978). This series includes the following variations:
Do you ever drink any alcoholic beverages such as wine, beer, cocktails, highball?
AIP0160
Do you ever have occasion to use any alcoholic beverages such as liquor, wine, or beer, or are you a total abstainer?
AIP0360, 375, 405 , 450 , 456 , 479, 509 , SRS160
Do you ever have occas ion to use beverages like beer , wine, or liquor--or are you a total abstainer?
AIPOS26
Do you ever drink any alcoholic beverages such as liquor, wine, or beer-- or are you a total abs tainer ?
AIPOS43
Do you have occasion to use alcoholic beverages such as liquor, wine, or beer--or are you a total abs tainer?
AIP0723 , 758; 773 , 903 ''' -. --- -.. - .." .- --- -.... - .,.. - - .-.- _.- .- - -..- --.- - ...... - _. ....-...... -...... -...... -()...... -.. .-..-.... -.. -..... -,.. -.. .-. - .,...... - ..., - -...,...... -. -...... - .", ..-':' ".. ' ...... ". -.--..-.'-"""-''''''- , " .::.:::-:...... --. -- -,..-. ..-.- -..-..
244-
10. There are many minor variations in wording, see Tom W. Smith Ms. President?" A Study in the Political Role of Women, 1936-1974 in Studies of Social Change Since 1948 , edited by James A. Davis, NORC Report 127B (Chicago: NORC, 1976).
11. A related series exists for an AIPO happiness question see Tom Smith, "Happiness: Time Trend, Seasonal Variations, Intersurvey Differences, and Other Mysteries, Social Psychology Quarterly 42 (1979).
In general, how happy would you say you are--very happy, fairly happy, or not happy?
YeaT' P T' DPC) T't :i. Stud .... ,.n ,.- .... 1946 3924 :31 () 4 AIF'D:; 1947 () . 3832 3066 A I P0399 1947 (). 4 14:16 AIP04:LO 1948 44:?i 1 :') 0 f)IP042 1949 3648 1782 AIP04:1(;! :L952 4742 2(180 f) I P0:7j08 1956 j(63 2234 AU:' O:569 19:7i6 5383 1969 f) I F'O )70 :I. 9 7i6 )2::)2 2:184 AIPO:7i7:1 1957 16()f.) A:rP(j )BO C:' I::' 1963 (). 4 7;' . 'I.J... ,:)1 P06 7 1966 :1. j69 A I F'07:?i 1966 o . 4632 )B(1 AIF'073i)
TEST ESTlt1ATE CH I PRtJB ..N .- 'n' .... -. '0" .... "'0 ..n .... - '0-' ,-,. -...... - -- -.. -. .- .M ...... M .- ..- 'M' ,.,. ..OO Constant 45B plus Dr minus 0. 006:L 37c). OO:L Linear TT'€ Weighted Regression Y =-:L:I. 63 + 0. 0062 (X) R SGuaT' f2d o . 4066 Imp r' Dvem 'nt :1. 79. OO:L Fit :L97. 00:1. - .n. ..- .- ,... .- "N ,... N'. "n .- ..,. '0'. N" .,...... - -, M" .-. n,' N.. -- .-. 0- _. -- .- - - 'n, Model: :i sn:;. f:i. cant LinE'a T' COIrIP(:ment -.------.--- --.------.-----.------_._------....------.-----..------::: . ---
- 245-
12. A related series exists for the following item:
(In general J, would you say that your health is good, fair, or poor?
AIP0186, 233, 457
Do you consider yourself to be in good, fair, or poor health now?
AIP0401
What would you say' is the state of your health in general--good, fair, or rather poor?
AIP05 70
Year Pror.'o T't.i on St.ud 1940 (). 6433 3137 IF'018\ 1941 7351 3118 AIP0233 1947 6432 2993 AIF'0401 1950 6723 1355 ,UP0457 1956 0 + 6525 1974 fUP0570
TEST ESTHMTE CHI Sf) F'fmB . Constant. 673 plus or minus 0. 0083 89. 001 Lineal" Trend Weighted ReSression Y = 5. 66 - 0. 0026 ( X ) R S( lJa red 120. I I1P r(:)vemer,t 12. 001 Fit 77. 001 Model: SiSni ficant Lin.a r Component
13. AIP08S2 and AIP09S4 included the following variations
CHINAl CHINA2 AIP08S2 "Red China 072 579 (452) AIP08S2 "Nationalist China (Taiwan)" 244 202 (399) AIP09S4 "Connunist China 076 565 (1441) AIP09S4 "Nationalist China (Taiwan)" 225 171 (383)
14. AIP0868 referred to " Great Britain. 246 -
AIP062S asked "What community organizations or groups, if any, do you belong to now--that is, fraternal , social, business, civic, or religious groups?" Because the question presents a limited range of examples and does not inquire separately about each group it probably solicits fewer responses than the GSS version. NORC4018 is almost identical to the GSS version except that " church-affiliated group (MEMCHURH) was not part of the list of associations.
16. AIP0625 was not part of a spending scale and asked "There is much discussion as to the amount this country should spend for national defense. How do you feel about this? Do you think we are spending too little, too much, or about the right amount?" 17. Some variation occurrs across surveys in wording and skip patterns. For differences see SRC codebooks for American national election studies and GSS cumulative codebook.
18. Since race is a highly clustered variable it is susceptible to much more sampling variation than allowed for under the assumption of simple random sampling. When the cluster effect is calculated and adjusted for a constant model easily fits the data.
19. On AIPO studies these questions are asked of respondents who respond yes " to the following screen: "Do you have any children now in grade or high school?" On GSS households with (a) child(ren) ages 6-17 were used to approximate the AIPO screen.
20. NORC447 asked,
How satisfied are you with your job right now--would you say very satisfied, moderately satisfied, a little dissatisfied or very dissatisfied?"
For related series see U. S. Department of Labor, Manpower Administration, Job Satisfaction: Is there a Trend Manpower Research Monograph No. 30 (Washington, D. Government Printing Office, 1974).
21. The significant linear decline in the proportion male is an artifact of GSS I S shift from block quota sampling in 1972-1974 to full proba- bility. Controlling for sampling technique there is no trend in the proportion male. For a general discussion of block quota vs. full probability sampling see C. Bruce Stephenson, "Probabili y Sampling with Quotas: An Experiment, GSS Technical Report No. 5 (Chicago: NORC, 1979), forthcoming in Public Opinion Quarterly
22. SIZE, SRCBELT1, SRCBELT2, XNORCSIZ1 , XNORCSIZ2 , and XNORCSIZ3 are all segment level variables. Because of this the effective case base is not the number of respondents but the number of geographic units sampled. There are typically only about one-fifth the number of effective cases to reported cases. When this extreme clustering is taken into account none of the size of place trends are significant.
23. See Note 22. 247-
24. This series includes the following variations:
Did you (or your husband) file and pay an income tax by March 15 of this year? IF YES: Do you consider the amount of income tax which you had to pay too high, too low, or about right?
AIP0392 AIP0439
Do you (or does your husband) pay a federal income tax?
AI PO 408
Will you file and pay an income tax by March 15 of this year?
AIPO 411
Did you (or your husband) have to pay a federal income tax on money earned last year?
AI PO 452 TPS
IF YES: Do you consider the amount of income tax which you have to pay as too high , too low , or about right?
Do you (does your husband) have to pay a federal income tax? IF YES: Do you consider the amount of federal income tax which you have to pay as too high , too low, or about right?
AIP04 71 AIP0486 AIP05l1
Do you consider the amount of federal income tax which (you have/ your husband has) to pay as too high, about right, or too low?
AIP0560 AIPOS81 AIP0611 AIP0641 AIP06S5 AIP0660 AIP0667 AIP0686 AIP0724
Do you consider the amount of federal income taxes which you have to pay as too high, about right, or too low?
AIP0742 AIP07 76 AIP0864 - ....- ''''- -...... -...... -- - - ....-. .- ...... ,...... - _..... --..- _...... ,..,..,...... - ...... -..- ..- _.. -...... - -.. --...... - -.. .- .... .- ...... - ...... -.- -..-.-.....-...... ,...... , - ...... - .-. - .-(-: - ..-.....-.... - -...... - .--
248-
On the 1976 GSS, a context experiment was conducted by placing the tax question immediately before the spending question (NATAID etc. for one-half the sample and immediately after the spending ques- tion for the other half. This produced a significant context effect:
PRECEDED SPENDING FOLLOWED SPENDING
Taxes too high 636 (774) 529 (717)
25. A related series exists for the following item: Do you think most people can be trusted?"
y f. i3 T' ProF'or-tion i\! :;t. un...... _n ...... ow- n..
1948 (). 6(.)()() :l2B( NDI: C :1. :L 952 0 . 6BOO :1297 NDI: C32(? :L 95:5 :)7()() :1233 Nnl: C:'34(1 :19:' (). 62()O :I. 2 Nnl: C:' i:l :L 9::)4 0 . 660() :L ;. O:l. Nnl: C:36 () . 7 :)OO :l :: NOF C404
E!:;rIi'ATE CHI F' I: u- -., ,.n - -. ,ou ...... -- 'OM ... .-...... ,...... , ..., ...... u...... , "u .... .". .". ,...... N. .... "n ...... C(Jnstant 662 plus or minus o. o:loe :I 06. 7 OO:l L:in€c! r Trf:' Wei.hted Re.ression Y =-:14. 82 + O. 0079(X) E,Ciua T' (,,'d :L12B J: mp r' c)velT("Jnt :1. 00:1 Fj. 90. 00:1. 'M' .... 'M. .-. .... '0.. ...0 .... .M. 'R' .... ".. M" - Model: Si.nificant Linear COITPonent
26. AIP0785 screened out those not replying "yes " to "Do ' you happen to know what is meant by wire-tapping?
27. See Note 22. -249 -
APPENDIX: STANDAPn DEVIATIONS
MNEMONIC STANAR DEVIATION MNEMONIC STANDAR DEVIATION FROM FROM CONSTANT VALUE FROM CONSTANT VALUE
ABAN 0215 CHILDS2 0107
ABDEFECT . 1130 CHILDS3 0199
ABHL TH 0645 CHINAI . 0530
ABNOMORE 0898 CHINA2 1427 ABPOOR 1480 CHLDIDEL 1207
ABRAPE 0825 CHLDMORE 0142 ABSINGLE 0977 C IGWEEK 0175 ADULTS 0275 CLASS 0529 AGEl 0100 CLASSY 0430 AGE2 0097 CLEAN 0079
AGED 0576 COHORT . 0504
AGEWED 0123 COLATH 1070 AMICABLE 0184 COLCOM 1254 ANOMIAl 0775 COLHOMO 0173
ANOMIA2 0447 COLMIL 0149 ANOMIA3 0226 COLRAC 0017 ANOMIA4 0185 COLSOC 1038 ANOMIA5 . 0244 COMMUN 0376 ANOMIA6 0272 COMPREND 0119
ANOMIA7 0275 CONAR 0526 ANOMIA8 0509 CONBUS 0521
ANOMIA9 0502 CONCLERG . OSl2
AREST 0079 CONEDUC . 06 70
ATTENDI 0627 CONFED . 0583
ATTEND2 0554 CONFINAN . 0402
BABIES 0267 CONJUDGE . 0416
BORN 0067 CONLABOR . 0323 BRAZILl 0410 CONLEGIS 0490
BRAZIL2 0253 CONMEDIC . 0556
BURGLR 0039 CONPRESS 0341
BUSING 0208 CONSCI . 0410
CANADA 1 022l CONSIDER 0062
CANADA2 0032 CONTROL 0072
CAPPUN 0769 CONTV . 0277 CHILDSI 01S8 COOP 0121 -250-
MNEMONIC STANAR DEVIATION MNEMONIC STANAR DEVIATION FROM CONSTANT VALUE FROM CONSTANT VALUE
COURTS 1032 GUN . 0323
DEGREE 0253 GUNLAW . 0245 DIVLAW 0426 HAMA 0134
DIVORCE 0105 HAPPY . 0389
DRINK . 0647 HEALTH . 0200
DRUNK 0117 HEALTH 1 . 0400
EARNS 1 0157 HELPFUL . 0564
EANS 2 Ol40 HIT . 0308 EDUC I 0227 HITBEATR . 0482 EDUC2 0130 HI TCHILD 0262
EGYPTI 0288 HITDRUNK . 0073
EGYPT2 0567 HITMCH . 0093
ENGLA 1 . 1054 HITOK 0615 ENGLA 0520 HITROBBER 0487
EQWLTH 0549 HOMO SEX 0134 ETHNU 0239 HOMPOP 0401 EVSMOKE 0485 HONEST 0207 EVWORK 0343 HRS lA 0218
FAIR 0331 HRSIB . 023 7
FAMILY16 0128 HRSIC . 0118
FEAR 0462 HUNT . 0332 FE HOME 0205 INCOM16A 0196 FEPOL 0226 INCOM16B 0107
FEPOLY 03l6 INCOME 1 0414
FEPRES 1311 INCOME2 . 0783
FEWORK 2139 INDUSTRY . 0084 INTEREST 0254 FINALTERI 0385 ISRALl l006
FINALTER2 0356 ISRAL2 . 0284
FINRELAI 0225 JAPAN 1 0752
FINRELA2 0146 JAPAN2 . 0249 GETAHEAD 0185 " JOBFIND . 0063
GOVAID 0198 JOBFINDI . 0563 GRAFORN 0152 JOBHOUR 0153
GRASS 0610 JOBINC . 0208 - 251-
MNEMONIC STANAR DEVIATION MNEMONIC STANAR DEVIATION FROM CONSTANT VALUE FROM CONSTANT VALUE JOBLOSE 0240 NATAIDl 0093
JOBMES 0144 NATAID2 . 0393
JOBPROMO 0089 NATARSI . 0496
JOBSEC 0149 NATARS2 . 0679
JUDGEMNT 0201 NATCITY1 . 0423 LETDIEI 0886 NATCITY2 0373 LETDIE2 0760 NATCRIMEI 0159 LIBATH 0868 NATCRIME2 0118
LI BC OM 1086 NATDRUG 1 0354
LIBHOMO 0077 NATDRUG2 . 0162
LIBMIL 0227 NATEDUC 1 0243 LIBRAC 0204 NATEDUC2 0116 LIBSOC lS17 NATENVIRl 0488 LIFE 0158 NATENVIR2 0270 MAEG 0226 NATFARl 0397
MADUCl 0255 NATFARE2 . 0665 MAEDUC2 0075 NATHEAL 1 0317
MANERS 0188 NATHEAL2 . 0105 MAITAL 0373 NATRACEI 0298
MAWORK 0339 NATRACE2 0178
MEMCHURCH l223 NATSPACI 0229
MEMFAR 0059 NEWS . 0549
MEMFRAT 0211 NATSPAC2 0649 MEMGREEK 0122 OBEYS 0201
MEMHOBBY 0333 OCC . 0109
MEMLIT 0316 OWNGUN . 0263
MEMNAT 0099 PADEG . 0157
MEMNU 0691 PAEDUC1 . 0202
MEMOTHER 0122 PAEDUC2 . 0083
MEMPOLIT 0186 PAIND16 . 0113 MEMPROF 0408 PAOCC16A 0115
MEMSCHL 0319 PAOCC16B . 0185
MEMSERV 0212 PAPRESI6 . 0184 MEMSPORT 0620 PARBORN 0184 MEMNION 0530 PARTYIDI 0261
MEMVET 0123 PARTYID2 . 0200
MEOUTH 0239 PARTYIDiS . 0548
MOBILE 0182 PARTYID4 . 0524 -252
MNEMONIC STANAR DEVIATION MNEMONIC STANAR DEVIATION FROM CONSTANT VALUE FROM CONSTANT VALUE
PAWRKSLF 0161 RACMOST1 . 0395 PHONE 0136 RACOPEN . 0115 PILL 0746 RACPRES 1301
PISTOL 0262 RACPRES1 . 0082
POLAUSE 0157 RACPUSH . 0613
POLATTACK Ol85 RACSCHOL . 1293 POLESCAP 0138 RACSCHOLl' 0977
POLHITOK 0178 RACSEG . 0678
POLMRDR 0020 RAIOHRS . 0549 POL VIEWS 1 0136 REG16A 0112 POLVIES2 0083 REG l6B 0033
POLVIEWl 0192 REGION 1 Ol24 POLVIEW2 0123 REGION2 0050
PORNINF 0209 RELIGI . 0103 PORNLAW 0117 RELIG 16A 01S6 BORNMORL 0202 RELIG16B 0115
PORNOUT 0905 RELIG2 . 0062 PORNPE 0268 RELITEN Ol52 POSTLIFE 0266 RES16A 0154
PRAYER 0294 RES16B . Ol88
PREMSX 0293 RESPONSI . Ol03
PRES68 0185 RICHWORK . 0209
PRES 72 0214 RICHWORKl 0209 PRES76 0214 RINCOME 1 0494
PRESTIGE 0179 RINCOME2 . 0505
PRETEEN 0180 ROBBRY . 0083
QUI TSMK 0859 ROLE 0057 RACDIN 0803 RUSSIAI 0765
RACE 0216 RUSSIA2 . 2262
RACFEW 0116 SATCITY . Ol55
RACFEWI . 0647 SATFAM . 0108
RACHA 0245 SATFINl . 0468
RACHAl 0856 SATFIN1 . 0282 RACHOME 0129 SATFRND 0135
RACLIVE 0614 SATHEALT . 0067
RACMA 1056 SATHOBBY . 0143 RACMOST 0266 SATJOB 0165 253-
MNEMONIC STANAR DEVIATION MNEMONIC STANAR DEVIATION FROM CONSTANT VALUE FROM CONSTANT VALUE
SATJOBl 0120 SUICIDE2 . 0067
SATJOB2 0206 SUICIDE3 . 0061 SATJOB3 021S SUICIDE4 0072
SEX 0226 TAX 0711
SEXEDUC 0932 TEENPILL . 0181
SIBS 0185 TEENS . 0200
SIZE 0322 TICKET . 0081
SMOKE 0741 TRUST . 0502
SMOKECIG 0183 TVHOURS . 0638
SOCBAR 0192 UNEMP 0103
SOCFREND 0229 UNION . 0235
SOCOMMN Ol47 UNRELAT . 0031
SOCREL 0131 USINTL . 0428 SPDEG 0269 USUN 0539
SPEDUC2 0144 USWAR 0779
SPEDUC 1 0217 USWARY 0981 SPHRS1A 0219 VETYEARS 0108
SPHRSlB 0286 VOTE68 . 0485
SPHRS I C 0228 . VOTE 72 0335 SPIND 0202 VOTE76 0302 SPKATH 0930 WIRTAP 1318
SPKCOM 1073 WKSUB 0166 SPKHOMO 0059 WKSUBS 0190 SPKMIL 0192 WKSUP 0184
SPKRAC 0136 WKSUPS . 0057
SPKSOC 0789 WORD SUM 0130
SPOCC 0177 WRKSLF . 0038
SPPRES 0198 WRKSTATI . 0230
SPREL 0102 WRKSTAT2 . 0088
SPRELl6 0077 WRKSTAT3 . 0177
SPR.RXSLF 0112 WRSTAT4 . 0260
SPWRKSTA1 0166 WRKSTAT5 . 0194
SPWRKSTA2 0246 WRKSTAT6 . 0140 SRCBELT1 03l6 XMSEX 0292
SRCBELT2 0095 XMOVIE . 0373 STUDIOUS 00l8 XNORCSIZI 0276
SUCCESS 0108 XNORCSIZ2 . 0360 SUICLDE1 0023 XNORCSIZ3 0207
255-
SUBJECT INDEX
ABORTION: Church, See RELIGION
AGE Cigaret te, See SMOKING Time of interview: At first marriage: Cities, See RESIDENCE , SATISFACTION UNITED STATES AGED: CIVIL LIBERTIES Alcoho 1, See DRINKING Atheist: 25, 94, 205 Comunist: 26, 94, 206 ANOMIA ITEMS: 9 - Homosexual: 26, 95, 206 See al so PEOPLE Militarist: 27, 95, 207 Rae i s t : 27, 96, 207 ARST: Socialist: 28. 97, 208 See also DEMONSTRATIONS, RACE Associations , See VOLUNTARY AS SOCIA TIONS Class, See SOCIAL CLASS Atheist, See CIVIL LIBERTIES Cohort:
Banks and financial institutions, COMMNISM-As form of government: 28 See LEADERS See also CIVIL LIBERTIES , COUNTRIES
RIRTH CONTROL INFORMTION: 139 Communi ty, See RESIDENCE 217 Confidence , See ANOMIA , LEADERS, PEOPLE Brazil , See COUNTRIES Congress, U. S. , See LEADERS Brothers, See SIBLINGS Conservative, See POLITICAL BURGLARY: 1 See al so ROBBERY Cooperation: 41
Business , See LEADERS COUNTRIES-Images of: 74-
Busing, See RACE COURTS: 41 See al so ABORTION, PRAYERS IN SCHOOLS Canada, See COUNTRIES ime, See UNITED STATES CAPITAL PUNISHMNT: Death Penal ty, See CAPITAL PUNISHMNT CHILDREN Expectations: 22 Degrees , See EDUCATION Ideal number: 21 Number, actual: 19, 20 Democrats, See POLITICAL Qualities of Children: 155- 162 DIVORCE , ATTITUDES:
China, See COUNTRIES DRINKING: 44, 45 256-
Drug addiction, See UNITED STATES Foreign aid , See UNITED STATES
EDUCATION Friends , See SATISFACTION, Father: 129 , 130 SOCIAB IL ITY Mother: 98, Respondent: 47 , 48 , 42 Gallup-Thorndike, See VOCABULARY Spouse: 201, 202, 200 TEST See also LEADERS, UNITED STATES GEOGRAPHIC MOBILITY: III Egypt, See COUNTRIES See also REGION
Elderly, See AGED Get ahead, See WORK
Employment, See HOURS WORKD Government aid, See INCOME, LAOR FORCE STATUS UNITED STATES OCCUPATION UNION MEMBER- SHIP , WORK Grass, See MARIJUANA
England , See COUNTRIES Great Bri tain, See COUNTRIES ( ENGLAND) Environment, See UNITED STATES GUN ETHNICITY: 49 Owership: 128 , 140 See also NATIVITY , RACE Permit: 62 Threatened: 61 EUTHANAS IA: 92, 93 See al so VIOLENCE
Extra-marital sex, See SEX HAPPINESS General: Fai r, See PEOPLE Marriage:
FAMILY COMPOS IT ION HEALTH Age 16: 52 General: 65 See also AGED, CHILDREN, Satisfaction: 190 HOUSEHOLD , MARITAL STATUS See also UNITED STATES SATISFACTION , SIBLINGS SOCIABILITY Hobbies, See SATISFACTION, VOLUNTARY SSOCIATIONS Fear neighborhood, See RESIDENCE Homosexual, See CIVIL LIBERTIES, Federal government, See LEADERS SEX
Fertility expectations, See HOUSEHOLD CHILDREN Compos i ton: 15, 71, 154, 218 Financial institutions and banks, Number of wage earners: 45, 46 See LEADERS Relationships: 222 See also FAMILY COMPOSITION Financial situation, See INCOME HOURS WORKED Firearms, See GUN Respondent: 71 , 72 Spouse: 202 , 203 See al so LABOR FORCE STATUS WORK 257-
Humphrey, Hubert H. , See POLITICAL Labor unions, See LEADERS, UNION MEMBERSHIP HUNTING: LEADERS-Confidence in (Banks and Images of Countries: 74- financial institutions, Business, Education, Executive branch INCOME Lab()r, Medicine, Military, Press, Actual: Religion, Scientists, TV, U. Time of interview Congress, U. S. Supreme Court): Family: 85 30- Respondent: 184 Attitudes Leisure, See SATISFACTION , VOLUNTARY Age 16, relative to others: ASSOCIATIONS Equalization: 49 Time of interview Liberal, See POLITICAL Financial situation: 56, 57 186, 187 Life after death, See RELIGION Relati ve to other: 58 Government aid: LIFE OUTLOOK: 97 See also HOUSEHOLD, SOCIAL See also WORK CLASS, TAX McGovern, George S., See POLITICAL INDUSTRY Father: 131 MARIJUANA-Legal izat ion: Respondent: 86 Spouse: 204 MARITAL STATUS: 100 See also OCCUPATION Age first married: Divorce: 43 Integration, See RACE Happiness: 63 See al so SEX Intermarriage, See RACE Media, See NEWSPAPER READERSHIP , LEADERS Intelligence tes ting, See VOCABULARY TEST Medicine, See LEADERS
INTERVIEW Memberships, See VOLUNTARY ASSOCIATIONS Cooperation: 41 Understanding: 29 Militarism, See CIVIL LIBERTIES
Israel, See COUNTRIES Military, See LEADERS, UNITED STATES, VETERAN STATUS Japan, See COUNTRIES Military service, See VETERAN STATUS Job , See WORK Misanthropy, See ANOMIA, PEOPLE Job Characteristics: 87-90 Mobility, See GEOGRAPHIC MOBILITY LAOR FORCE STATUS Mother: 100 Movies, See SEX Respondent: 233-236 Spouse: 212 National problems, See UNITED STATES Unemployed: 220 See also HOURS WORKED NATIVITY OCCUPATION, UNION Granparents: 60 MEMBERSHIP , WORK Parents: 133 Respondent: 16 258-
Neighborhood , See RACE , RES IDENCE Pres ident, U. S. , See LEADERS, SOCIABILITY POLITICAL, RACE, WOMEN' S ROLES
NEWSPAPER READERSHIP: 126 Press, See LEADERS, NEWSPAPER See also LEADERS READERSHIP
Nixon, Richard M., See POLITICAL Prestige , See OCCUPATIONAL PRESTIGE OCCUPATION Father: 131 , 132 Privacy, See WIRETAPPING Res pondent : 127 Spouse: 209 Problems, See UNITED STATES
OCCUPATION (contined) Qualities of Children: 155-162 See al so LABOR FORCE STATUS OCCUPATIONAL PRESTIGE , UNION RACE MEMBERSHIP , WORK Actual: 163 Atti tudes OCCUPATIONAL PRESTIGE Busing: 17 Father: 133 Dinner: 162 Respondent: 154 In home: 164 Spouse: 209 Intermarriage: 169 See also OCCUPATION Neighborhoods: 169, 174 Open housing: 170 Old people, See AGED Push: 172 President: 171, 172 Open housing, See RACE Schools: 164-168, 173 174 See also ETHNICITY, UNITED STATES Organizations, See VOLUNTARY AS SOCIA TIONS Racial Integration of Schools: 164-168
Party identification, See Radio Listening: 175 POL ITICAL REGION PEOPLE Age 16: 175, 176 Fair: Time of interview: 177 Helpful: 65 See also GEOGRAHIC MOBILITY Trus t : 21 9 See also ANOMIA RELIGION Respondent POLITICAL Beliefs (life after death): 150 Liberal-conservati ve: 144 , 145 Preference Preference: 134-137 Age 16: 179, 180 Vote 68: 152, 227 Time of interview: 178 , 179 Vote 72: 152, 227 Strength of: 181 Vote 76: 153, 228 Religious service attendance: 14, 15 Spous e Pornography, See SEX Preference Age 16: 210 PRAYERS IN SCHOOL: 151 See Also CIVIL LIBERTIES, LEADERS
Pre-mari tal sex, See SEX Republicans, See POLITCAL 259-
RESIDENCE SOCIAL CLASS-Subjective: 23-24 Age 16: 181, 182 Fear neighborhood: 52 Socioeconomic status, See SOCIAL Time of interview (NORC size COdE CLAS S 238-240 Time of interview (SRC belt code: Space, See UNITED STATES 213 , 214 Time of interview (SIZE): 196 SPLIT BALLOTS See also SATISFACTION Social class-subjective: 23, 24 U. S. war: 224 , 225 ROBBERY: 185 Women in politics: 54 See al so BURGLARY SUICIDE: 215, 216 Russia, See COUNTRIES Supreme Court, U. S. , See ABORTION SATISFACTION LEADERS, PRAYERS IN SCHOOLS General (city, family, friends, health, leisure): 188-191 TAX: 217 See Also INCOME , WORK TELEPHONE IN HOUSEHOLD: 138 Satisfaction with Life Domains: 188-191 TELEVISION WATCHING: 220 See al so LEADERS Schools, See DEMONSTRATIONS Tobacco, See SMOKING Scientists, See LEADERS TRFIC TICKET: 219 SEX Actual: 194 Trus t , See ANOMIA, PEOPLE At ti tudes Education in schools: 195 Unemployed, See LABOR FORCE STATUS Extramarital: 236 Homosexual: 70 UNION MEMBERSHIP: 221 Pornography: 147-149 Laws: 146 United Nations, See UNITED STATES rated movies: 237 Premarital: lS1 UNITED STATES Involvement in United Nations: 223 SIBLINGS: 195 Involvement in war: 224 Involvement in world affairs: 222 Sisters, See SIBLINGS Involvement in World War: 225 Problems (cities, crime, drugs, SIZE OF PLACE OF INTERVIEW education, environment, foreign Actual: 196 aid, health, military, race NORC size of place: 238-240 space, welfare): 112-126 SRC belt: 213, 214 See also LEADERS
SMOKING: 22, SO, 162, 197 VETERAN STATUS: 226
SOCIABILITY (with friends, neighbors, VIOLENCE relatives, at tavern): 198-200 Approve of man hitting: 66- Approve of police hitting: 141- 143 Experienced hitting: See also GUN -260-
VOCABULARY TEST: 232
VOLUNTARY ASSOCIATIONS: 101-111
Voting, See POLITICAL
Wallace, George C., See POLITICAL
War, See UNITED STATES
Welfare, See INCOME , UNITED STATES
WIRETAPPING: 229
WOMEN' S ROLES In politics: 54 President: 55 Stay at home: Working: 55
Wordsum, See VOCABULRY TEST
WORK At ti tudes Get ahead: 59 Job market: 90, 91 Job satisfaction: 191-194 Ever worked: 50 Important characteristics of job: 87-90 Security: 91 Se 1 f- emp 1 oyment Father: 138 Respondent: 232 Spouse: 211 Supervisory status: 229-231 Work if rich: 183 See also HOURS WORKED LAOR FORCE STATUS OCCUPATION , OCCUPATIONAL PRESTIGE , UNION MEMBER- SHIP , WOMEN' S ROLES
World War, See UNITED STATES