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American Identity and Immigrant Resentment: A Data-Driven Learning Guide
Principal Investigator(s): Inter-university Consortium for Political and Social Research
Summary:
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 relationship between social identity and attitudes toward out-group members. Specifically, it explores the relationship between American identity and immigrant resentment, and examines how this resentment in turn may influence atttitudes about immigration policies. Frequency distributions, crosstabulations, correlations, and multiple regression are used for the analyses.
Access Notes
These data are not available from ICPSR. Users should consult the data owners directly (via American Identity and Immigrant Resentment) for details on obtaining the data and documentation.
Study Description
Scope of Study
Subject Terms: immigrants, immigration, immigration policy, instructional materials, national identity, social identity, social sciences
Geographic Coverage: United States
Data Collection Notes:
Other Data-Driven Learning Guides covering such topics as aging, gender, race, social class, politics, and health are available on the ICPSR Resources for Instructors site.
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