2007
DOI: 10.1177/000312240707200304
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African American, Hispanic, and White Beliefs about Black/White Inequality, 1977-2004

Abstract: Do African Americans, Hispanics, and non-Hispanic whites differ in their explanations of the socioeconomic divide separating blacks and whites in the United States? Have such explanations changed over time? To answer these questions, I use data from the 1977 to 2004 General Social Surveys (GSS) to map race/ethnic differences in support for, trends in, and the determinants of seven “modes of explanation” for blacks' disadvantage. Trends over time indicate the continuation of a long-standing decline in non-Hispa… Show more

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Cited by 239 publications
(322 citation statements)
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“…Prior studies have recognized the motivating importance of opportunity beliefs as a cause of inequality beliefs and policy preferences but measured them in a relatively limited way: namely, as perceptions of either intergenerational mobility or the role of individual effort in getting ahead (8,26). To explore opportunity beliefs as a key outcome of rising economic inequality, the present work instead uses a wider set of indicators drawn from, and established in, the survey literature on beliefs about economic opportunity (14,27). This measurement approach allows us to examine how structural factors (e.g., coming from a wealthy family) and individual factors (e.g., hard work) are each affected by information about rising inequality whereas prior research typically has employed a bipolar scale or a forced-choice, single-question format wherein participants must choose whether individual or structural factors are more important (16,19,26).…”
Section: Significancementioning
confidence: 99%
“…Prior studies have recognized the motivating importance of opportunity beliefs as a cause of inequality beliefs and policy preferences but measured them in a relatively limited way: namely, as perceptions of either intergenerational mobility or the role of individual effort in getting ahead (8,26). To explore opportunity beliefs as a key outcome of rising economic inequality, the present work instead uses a wider set of indicators drawn from, and established in, the survey literature on beliefs about economic opportunity (14,27). This measurement approach allows us to examine how structural factors (e.g., coming from a wealthy family) and individual factors (e.g., hard work) are each affected by information about rising inequality whereas prior research typically has employed a bipolar scale or a forced-choice, single-question format wherein participants must choose whether individual or structural factors are more important (16,19,26).…”
Section: Significancementioning
confidence: 99%
“…For instance, some studies investigate the socio-demographic correlates of people's explanations for unequal outcomes in general, while others focus on specific explanations for poverty [45,54] or racial inequality [46,55]. This difference in focus is reflected also in the different data sources used, ranging from theoretical samples [54] to probability samples of city or state populations [45,51,56] and the General Social Survey (GSS), representative of the entire US population [16,46,49,55,57].…”
Section: Toward a Sociological Approach To Studying Inequality Beliefsmentioning
confidence: 99%
“…3 Another likely source of different findings stems from authors' measurement strategy. Important decisions include how to measure individualist and structuralist responses, whether or not to include a mixed-category in-between, and whether to investigate differences in beliefs by race [15], gender [46], or both [55]. Such choices have substantial implications.…”
Section: Toward a Sociological Approach To Studying Inequality Beliefsmentioning
confidence: 99%
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“…A number of studies also contain questions of special interests, such as religion in 1991, 1998, and 2008. And, while the exact wording for some questions has changed from survey to survey, the cumulative data file retains consistency across surveys [34]. In total, the 1972-2010 GSS has roughly 5,400 variables, time-trends for nearly 2,000 variables, and 257 trends with over 20 data points.…”
Section: Samplementioning
confidence: 99%