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Cited by 586

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Social Identity Theory and Party Identification*

Open access
Greene, Steven·2004·Social Science Quarterly

Abstract

Objective.Given that the group aspect of party identification forms a central, yet largely unexplored element of American partisanship, social identity theory presents a compelling social‐psychological theory of group belonging through which to reinterpret the contemporary understanding of partisanship. Methods.Using a mail survey of 302 randomly selected Franklin County, Ohio residents, levels of social identification with the Democratic Party, the Republican Party, and political independents are measured using the Identification with a Psychological Group (IDPG) scale. Scores on the IDPG are used to predict attitudes toward parties and the consistency of partisan behavior. Results.Levels of partisan social identity proved to be significant predictors of political party ratings, ideology, and party activities, even when taking traditional measures of partisan strength into account. Conclusions.Social identity is a fundamental aspect of partisanship, which, when measured, can lead to superior prediction and understanding of related political attitudes and behaviors.

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Crossref · 10.1111/j.0038-4941.2004.08501010.x

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Metadata

Authors
Greene, S.
Venue
Social Science Quarterly
Publisher
Wiley
Published
2004-02-11
Volume
85
Issue
1
Pages
136-153
ISSN
  • 0038-4941 (ISSN-L)
  • 1540-6237
OpenAlex
W2036989661
Cited by
586
References
35
FWCI
27.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Social Identity Theory and Party Identification*. https://app.cochat.ai/papers/10.1111/j.0038-4941.2004.08501010.x
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Greene, S. (2004). Social Identity Theory and Party Identification*. Social Science Quarterly. https://doi.org/10.1111/j.0038-4941.2004.08501010.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.