scholarly journals Visualizing Partisan Identification Switching in the General Social Survey Panel, 2016–2020

2021 ◽  
Vol 7 ◽  
pp. 237802312110573
Author(s):  
Sean Bock ◽  
Landon Schnabel
Keyword(s):  
Party Identification ◽  
General Social Survey ◽  
Significant Proportion ◽  
Social Survey ◽  
Opposing Party ◽  
Party Realignment ◽  
Independent Variable ◽  
Partisan Identification

This visualization captures shifts in partisan identification in the 2016–2020 General Social Survey Panel. Although most partisans remained stable in their identifications, a significant proportion of respondents either shifted to the opposing party or became independents. These patterns have important implications for our understanding of recent party realignment, trends in partisanship, and the care needed when using party identification as an independent variable.

Party Identification and Public Spending Priorities in the American Electorate

1982 ◽  
Vol 30 (2) ◽  
pp. 221-235 ◽  
Author(s):  
David Lowery ◽  
Lee Sigelman
Keyword(s):  
Party Identification ◽  
General Social Survey ◽  
Public Spending ◽  
Public Expenditures ◽  
Social Survey ◽  
Classification Analysis ◽  
Specific Policy ◽  
Mass Public ◽  
Multiple Classification Analysis ◽  
Multiple Classification

In a study published in 1980, Alan Lewis found that members of the British mass public tend to have clearly defined preferences on spending in specific policy areas and that these preferences are closely related to party identification. This paper examines Lewis's conclusion in the American setting. Data on eleven spending policies from the 1973 and 1980 General Social Survey are examined via factor analysis and multiple classification analysis. While some change is observed between 1973 and 1980, the preferences of the American public on public expenditures appear to be quite stable and, contrary to Lewis's findings these preferences are unrelated to party identification.

Are Religious People More Compassionate and Does This Matter Politically?

2013 ◽  
Vol 6 (3) ◽  
pp. 618-645 ◽  
Author(s):  
David D. Blouin ◽  
Robert V. Robinson ◽  
Brian Starks
Keyword(s):  
Political Ideology ◽  
Party Identification ◽  
General Social Survey ◽  
Religious Right ◽  
Government Assistance ◽  
Social Survey ◽  
Religious Traditions ◽  
The Poor ◽  
Carry Over ◽  
Service Attendance

AbstractAnalyzing a unique module of the General Social Survey, we test hypotheses that three religion dimensions — affiliation with specific religious traditions (belonging), service attendance (behaving), and religious orthodoxy (believing) are associated with compassionate feelings, and that these feelings carry over into support for government efforts to help the poor, blacks, and the sick. The religiously orthodox report more compassionate feelings toward others than do modernists and, partly because of this, are more supportive of government intervention to help the poor. Yet attending religious services frequently does not increase compassionate feelings and makes people less supportive of government efforts to help the poor. There are no differences among religious traditions in compassionate feelings, and the only difference on economic policy preferences is for Black Protestants to support government assistance to blacks. Compassionate feelings have comparable effects to political ideology and party identification on support for government assistance to the disadvantaged and misfortunate. We conclude that people of faith, variously defined, do not constitute a monolithic “Religious Right” and are potentially open to policy appeals from both political parties.

scholarly journals Polarization of public trust in scientists between 1978 and 2018

2021 ◽  
pp. 1-10
Author(s):  
Nan Li ◽  
Yachao Qian
Keyword(s):  
Machine Learning ◽  
Political Ideology ◽  
Party Identification ◽  
Learning Algorithms ◽  
General Social Survey ◽  
Public Trust ◽  
Lessons Learned ◽  
Machine Learning Algorithms ◽  
Social Survey ◽  
Science And Politics

Abstract The U.S. public’s trust in scientists reached a new high in 2019 despite the collision of science and politics witnessed by the country. This study examines the cross-decade shift in public trust in scientists by analyzing General Social Survey data (1978–2018) using interpretable machine learning algorithms. The results suggest a polarization of public trust as political ideology made an increasingly important contribution to predicting trust over time. Compared with previous decades, many conservatives started to lose trust in scientists completely between 2008 and 2018. Although the marginal importance of political ideology in contributing to trust was greater than that of party identification, it was secondary to that of education and race in 2018. We discuss the practical implications and lessons learned from using machine learning algorithms to examine public opinion trends.

GSS 2011 Linked with TIFF: Exploring the Cost of Child Care in Canada and the Use of the Child Care Tax Benefit

2019 ◽  
Vol 12 (1) ◽  
pp. 81-103
Author(s):  
Leanne Findlay ◽  
Dafna Kohen
Keyword(s):  
Child Care ◽  
General Social Survey ◽  
Cost Of Care ◽  
Indigenous Identity ◽  
Social Survey ◽  
The Cost ◽  
Care Costs ◽  
Compare And Contrast ◽  
Employment Characteristics ◽  
Different Sources

Affordability of child care is fundamental to parents’, in particular, women’s decision to work. However, information on the cost of care in Canada is limited. The purpose of the current study was to examine the feasibility of using linked survey and administrative data to compare and contrast parent-reported child care costs based on two different sources of data. The linked file brings together data from the 2011 General Social Survey (GSS) and the annual tax files (TIFF) for the corresponding year (2010). Descriptive analyses were conducted to examine the socio-demographic and employment characteristics of respondents who reported using child care, and child care costs were compared. In 2011, parents who reported currently paying for child care (GSS) spent almost $6700 per year ($7,500 for children age 5 and under). According to the tax files, individuals claimed just over $3900 per year ($4,700). Approximately one in four individuals who reported child care costs on the GSS did not report any amount on their tax file; about four in ten who claimed child care on the tax file did not report any cost on the survey. Multivariate analyses suggested that individuals with a lower education, lower income, with Indigenous identity, and who were self-employed were less likely to make a tax claim despite reporting child care expenses on the GSS. Further examination of child care costs by province and by type of care are necessary, as is research to determine the most accurate way to measure and report child care costs.

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience

2015 ◽  
Vol 38 (3) ◽  
pp. 21
Author(s):  
Scot Ausborn ◽  
Julia Rotondo ◽  
Tim Mulcahy
Keyword(s):  
Business Process ◽  
Process Model ◽  
General Social Survey ◽  
Business Process Model ◽  
Social Survey

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience

scholarly journals Attitudinal Change, Cohort Replacement, and the Liberalization of Attitudes about Same-sex Relationships, 1973–2018

2021 ◽  
pp. 073112142199485
Author(s):  
Ashley Wendell Kranjac ◽  
Robert L. Wagmiller
Keyword(s):  
Social Change ◽  
General Social Survey ◽  
Individual Change ◽  
Same Sex ◽  
Social Survey ◽  
Same Sex Marriage ◽  
Population Turnover ◽  
Demographic Processes ◽  
Lesbian And Gay Rights ◽  
Using Data

Americans’ attitudes toward same-sex relationships have liberalized considerably over the last 40 years. We examine how the demographic processes generating social change in attitudes toward same-sex relationships changed over time. Using data from the 1973 to 2018 General Social Survey and decomposition techniques, we estimate the relative contributions of intracohort change and cohort replacement to overall social change for three different periods. We examine (1) the period prior to the rapid increase in attitude liberalization toward same-sex marriage rights (1973–1991), (2) the period of contentious debate about same-sex marriage and lesbian and gay rights (1991–2002), and (3) the period of legislative and judicial liberalization at the state and federal levels (2002–2018). We find that both intracohort and intercohort change played positive and significant roles in the liberalization of attitudes toward same-sex relationships in the postlegalization period, but that individual change was more important than population turnover over this period.

Constrained and Unconstrained Partial Adjacent Category Logit Models for Ordinal Response Variables

2015 ◽  
Vol 47 (2) ◽  
pp. 169-206 ◽  
Author(s):  
Andrew S. Fullerton ◽  
Jun Xu
Keyword(s):  
General Social Survey ◽  
Estimation Method ◽  
Logit Models ◽  
Proportional Odds ◽  
Social Survey ◽  
Partial Model ◽  
Ordinal Response ◽  
Proportional Odds Assumption ◽  
Using Data ◽  
Response Variables

Adjacent category logit models are ordered regression models that focus on comparisons of adjacent categories. These models are particularly useful for ordinal response variables with categories that are of substantive interest. In this article, we consider unconstrained and constrained versions of the partial adjacent category logit model, which is an extension of the traditional model that relaxes the proportional odds assumption for a subset of independent variables. In the unconstrained partial model, the variables without proportional odds have coefficients that freely vary across cutpoint equations, whereas in the constrained partial model two or more of these variables have coefficients that vary by common factors. We improve upon an earlier formulation of the constrained partial adjacent category model by introducing a new estimation method and conceptual justification for the model. Additionally, we discuss the connections between partial adjacent category models and other models within the adjacent approach, including stereotype logit and multinomial logit. We show that the constrained and unconstrained partial models differ only in terms of the number of dimensions required to describe the effects of variables with nonproportional odds. Finally, we illustrate the partial adjacent category logit models with empirical examples using data from the international social survey program and the general social survey.

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