American Identity and Immigrant Resentment: A Data-Driven Learning Guide (ICPSR 363)
Principal Investigator(s): Inter-university Consortium for Political and Social Research
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.
This data collection has been deaccessioned; it is no longer distributed by ICPSR. These data are currently available at American Identity and Immigrant Resentment. Additional information may be available in 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.
Persistent URL: http://doi.org/10.3886/ICPSR00363.v1
Scope of Study
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.
Original ICPSR Release: 2013-01-08