American Identity and Immigrant Resentment: A Data-Driven Learning Guide
This exercise will use the 21st Century Americanism Survey, a nationally representative random-digit dial telephone survey conducted in 2004 to study (1) the multidimensional nature of American identity; (2) resentment among Whites toward immigrants, Latinos, and Asians, fueled by perceptions that these groups violate the cherished norms that constitute American identity; (3) how perceptions of discrimination affect the process of "becoming American" among ethnic minorities; and (4) the relationships among these issues and public opinion on policies that address ethnic change. This survey has 2,800 respondents and includes oversamples of Blacks, Latinos, and Asians in the United States. It contains questions that allow for the examination of the causes and consequences of two facets of American identity: (1) how people define the normative content of American identity; and (2) the extent to which people think of themselves primarily as American rather than primarily as a member of a pan-ethnic (i.e., Latino or Asian) or national origin group. This rich dataset can be used to test hypotheses regarding whether the alleged traditional consensus on what it means to be American is breaking down, or whether people are increasingly rejecting an American identity and instead prioritizing pan-ethnic or national origin identities. It can also be used to examine how these aspects of one's identity affect political attitudes and behaviors, such as trust in government, voting, and one's sense of obligation to the national community. Demographic variables include gender, age, country of origin, United States citizenship status, race, Hispanic origin, and language and educational attainment. Variables focusing on economic characteristics include employment status and household income. Only White respondents will be used for the analyses in this exercise.
CITATION: Inter-university Consortium for Political and Social Research. American Identity and Immigrant Resentment: A Data-Driven Learning Guide. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-12-15. Doi:10.3886/resentment
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