scholarly journals Shift in Perception of Blacks in America

Author(s):  
Erol Yamen Dincer

This paper is about the shift in perception of the disadvantages of blacks in America and how segregation exacerbates this racial attitude. Both white and black Americans are affected by segregation. There are views suggesting that racism has ended. However, my analysis proves the opposite. Only the way it is expressed has changed. Raw data is utilized from the General Social Survey (GSS) between 1972 and 2006 to verify this change in perception. The analysis confirms that a majority of Americans still do not see discrimination as a reason for the disadvantages of blacks, and that segregation increases this view. This study aims to raise awareness so that civil and political leaders can take relevant steps to achieve racial equity. This paper closes with study limitations and suggestions. 

2018 ◽  
Vol 80 (3) ◽  
pp. 277-298 ◽  
Author(s):  
Samuel L Perry ◽  
Andrew L Whitehead

Abstract Recent research suggests that, for white Americans, conflating national and religious group identities is strongly associated with racism, xenophobia, and Islamophobia, prompting some to argue that claims about Christianity being central to American identity are essentially about reinforcing white supremacy. Prior work has not considered, however, whether such beliefs may influence the racial views of nonwhite Americans differently from white Americans. Drawing on a representative sample of black and white Americans from the 2014 General Social Survey, and focusing on explanations for racial inequality as the outcome, we show that, contrary to white Americans, black Americans who view being a Christian as essential to being an American are actually more likely to attribute black–white inequality to structural issues and less to blacks’ individual shortcomings. Our findings suggest that, for black Americans, connecting being American to being Christian does not necessarily bolster white supremacy, but may instead evoke and sustain ideals of racial justice.


2019 ◽  
Author(s):  
Samuel Perry ◽  
Andrew L Whitehead

Recent research suggests that, for white Americans, conflating national and religious group identities is strongly associated with racism, xenophobia, and Islamophobia, prompting some to argue that claims about Christianity being central to American identity are essentially about reinforcing white supremacy. Prior work has not considered, however, whether such beliefs may influence the racial views of nonwhite Americans differently from white Americans. Drawing on a representative sample of black and white Americans from the 2014 General Social Survey, and focusing on explanations for racial inequality as the outcome, we show that, contrary to white Americans, black Americans who view being a Christian as essential to being an American are actually more likely to attribute black–white inequality to structural issues and less to blacks’ individual shortcomings. Our findings suggest that, for black Americans, connecting being American to being Christian does not necessarily bolster white supremacy, but may instead evoke and sustain ideals of racial justice.


Methodology ◽  
2007 ◽  
Vol 3 (3) ◽  
pp. 125-138 ◽  
Author(s):  
Volker Stocké

Abstract. In this article, we first analyze the respondents' beliefs about the social desirability of ten racial attitude items from the German General Social Survey (ALLBUS). We found these beliefs, which serve as the basis for the incentives for social desirability (SD) bias, to differ according to the respondents' sex, age, and education, as well as for the analyzed attitude items. Second, we found that these incentive differences, observed in our urban West-German sample, predicted the attitude answers of respondents from the nationwide ALLBUS survey in 1996. This effect was, furthermore, stronger for respondents with congruent characteristics. Our results suggest (1) that the ALLBUS data about the analyzed topic are susceptible to SD bias, (2) that particular items are more strongly affected in this respect, and (3) that differences in the racial attitude reports between certain groups of respondents may only be the result of differently strong SD bias.


Author(s):  
Leanne Findlay ◽  
Dafna Kohen

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.


2015 ◽  
Vol 38 (3) ◽  
pp. 21
Author(s):  
Scot Ausborn ◽  
Julia Rotondo ◽  
Tim Mulcahy

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


2021 ◽  
pp. 073112142199485
Author(s):  
Ashley Wendell Kranjac ◽  
Robert L. Wagmiller

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.


2015 ◽  
Vol 47 (2) ◽  
pp. 169-206 ◽  
Author(s):  
Andrew S. Fullerton ◽  
Jun Xu

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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