Social Class and Attitudes about Inequality: A Data-Driven Learning Guide (ICPSR 323)

Principal Investigator(s):
Inter-university Consortium for Political and Social Research

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Data-Driven Learning Guides are a collection of instructional exercises that can be used to enhance teaching of core concepts in the social sciences. This learning guide investigates the ways in which attitudes about inequality and its causes and solutions differ between social classes. Research questions that can be explored using this learning guide include: what people believe about the causes and consequences of inequality in the United States, whether people from different social classes hold different attitudes about the degree of inequality in the United States, and whether they also hold different attitudes about solutions for inequality. Crosstabulation is used for the analyses.