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Cited by 987

The DOI matches its Crossref record; 330 of the 330 references it cites were found in a registry or an index.

Are Political Orientations Genetically Transmitted?

ALFORD, JOHN R., FUNK, CAROLYN L., HIBBING, JOHN R.·2005·American Political Science Review

Abstract

We test the possibility that political attitudes and behaviors are the result of both environmental and genetic factors. Employing standard methodological approaches in behavioral genetics—specifically, comparisons of the differential correlations of the attitudes of monozygotic twins and dizygotic twins—we analyze data drawn from a large sample of twins in the United States, supplemented with findings from twins in Australia. The results indicate that genetics plays an important role in shaping political attitudes and ideologies but a more modest role in forming party identification; as such, they call for finer distinctions in theorizing about the sources of political attitudes. We conclude by urging political scientists to incorporate genetic influences, specifically interactions between genetic heritability and social environment, into models of political attitude formation.

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Crossref · 10.1017/s0003055405051579

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Metadata

Authors
ALFORD, J. R., FUNK, C. L., & HIBBING, J. R.
Venue
American Political Science Review
Published
2005-05
Volume
99
Issue
2
Pages
153-167
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W2168659096
Cited by
987
References
330
FWCI
203.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Are Political Orientations Genetically Transmitted? https://app.cochat.ai/papers/10.1017/s0003055405051579
The paper
ALFORD, J. R., FUNK, C. L., & HIBBING, J. R. (2005). Are Political Orientations Genetically Transmitted? American Political Science Review. https://doi.org/10.1017/s0003055405051579

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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.