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Race, Ideology, and the Tea Party: A Longitudinal Study

Overview of attention for article published in PLOS ONE, June 2013
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Title
Race, Ideology, and the Tea Party: A Longitudinal Study
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0067110
Pubmed ID
Authors

Eric D. Knowles, Brian S. Lowery, Elizabeth P. Shulman, Rebecca L. Schaumberg

Abstract

The Tea Party movement, which rose to prominence in the United States after the election of President Barack Obama, provides an ideal context in which to examine the roles of racial concerns and ideology in politics. A three-wave longitudinal study tracked changes in White Americans' self-identification with the Tea Party, racial concerns (prejudice and racial identification), and ideologies (libertarianism and social conservatism) over nine months. Latent Growth Modeling (LGM) was used to evaluate potential causal relationships between Tea Party identification and these factors. Across time points, racial prejudice was indirectly associated with movement identification through Whites' assertions of national decline. Although initial levels of White identity did not predict change in Tea Party identification, initial levels of Tea Party identification predicted increases in White identity over the study period. Across the three assessments, support for the Tea Party fell among libertarians, but rose among social conservatives. Results are discussed in terms of legitimation theories of prejudice, the "racializing" power of political judgments, and the ideological dynamics of the Tea Party.

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Geographical breakdown

Country Count As %
United States 3 5%
Hungary 1 2%
Unknown 61 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Bachelor 10 15%
Researcher 7 11%
Student > Doctoral Student 6 9%
Professor 5 8%
Other 16 25%
Unknown 7 11%
Readers by discipline Count As %
Psychology 22 34%
Social Sciences 21 32%
Business, Management and Accounting 4 6%
Agricultural and Biological Sciences 2 3%
Nursing and Health Professions 1 2%
Other 6 9%
Unknown 9 14%