scholarly journals Intersectional Discrimination in Australia: An Empirical Critique of the Legal Framework

2020 ◽  
Vol 43 (3) ◽  
Author(s):  
Alysia Blackham ◽  
Jeromey Temple
Keyword(s):  
Data Collection ◽  
Systemic Change ◽  
General Social Survey ◽  
Legal Framework ◽  
Statistical Evidence ◽  
Social Survey

Australian equality law is still largely dependent on individual enforcement to achieve systemic change. The degree to which discrimination law acknowledges and accommodates intersectional discrimination is a question of growing pertinence. This article bridges theoretical scholarship on intersectionality and empirical statistical evidence of how people experience discrimination in Australia, drawing on data from the 2014 General Social Survey, to critically evaluate the extent to which Australian discrimination law is able to accommodate intersectional experiences of discrimination. We argue that there is a fundamental disconnect between the legal framework, which focuses on separate and distinct ‘grounds’ of discrimination, and how people actually experience discrimination in practice, which is multiple and overlapping. This article offers concrete suggestions for how the legal framework and data collection could be improved to better integrate intersectionality in Australian discrimination law.

scholarly journals THE OCCURRENCE OF MISSING DATA IN SURVEYS

2021 ◽  
Vol 20 (2) ◽  
pp. 95-103
Author(s):  
Wioleta Zdebska
Keyword(s):  
Missing Data ◽  
Data Collection ◽  
General Social Survey ◽  
Data Set ◽  
Social Survey

The purpose of this article is to discuss issues related to the analysis of missing data. Why do missing data occur in a data set? What percentage of the collected data constitutes missing data? What is the nature of missing data that emerges during data collection? The above questions are extremely important in assessing conducted surveys or in evaluating the quality of the collected data. A lack of reflection on the aspects mentioned above may lead to false conclusions and recommendations. This article presents not only an overview of the literature regarding missing data, but also shows how in a practical way an analysis of the randomness of missing data can be performed. The analysis presented in the article is based on data collected as part of the Polish General Social Survey carried out in 2008. The main recommendation of the author is to conduct an analysis of the randomness of missing data before analyzing the collected data.

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.

Is Marriage Counseling Perceived as Scientific? Examining the Views of U.S. Adults

2017 ◽  
Vol 25 (3) ◽  
pp. 239-246
Author(s):  
Lisa F. Platt ◽  
Christopher P. Scheitle
Keyword(s):  
Public Policy ◽  
General Public ◽  
General Social Survey ◽  
Marriage Counseling ◽  
Future Directions ◽  
Social Survey ◽  
Utilization Of Services ◽  
Demographic Groups ◽  
Nationally Representative ◽  
Public Policy Decisions

Whether marriage counseling is perceived by the general public to be scientific or not has a number of implications for utilization of services, treatment outcomes, and public policy decisions. The current study used a nationally representative sample ( N = 1,026) from the 2012 General Social Survey to examine two research questions. First, how scientific is marriage counseling viewed by the general public? Second, what demographic variables predict how scientific marriage counseling is perceived by the general public? The analyses indicate that marriage counseling is generally not viewed as scientific, with only 7% rating it as “very scientific” and 40% rating it as “not scientific at all.” These ratings are similar to those given for salesmanship and financial counseling. This opinion was consistent across all demographic groups measured with the notable exception of those individuals who attend religious services more frequently, who were more likely to rate marriage counseling as scientific. There was also a finding indicating the possibility of those who are currently married but previously divorced rate marriage counseling as more scientific than those who are currently married and never divorced. The implications for the field of marriage counseling in regard to health promotion, public policy, and client utilization are discussed. Future directions, including more in-depth inquiry about these opinions, are also presented.

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