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?
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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Cited by
Political Ideology: Its Structure, Functions, and Elective Affinities
Jost, J. T., Federico, C. M., & Napier, J. L. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163600 · Cited by 2,125
The end of the end of ideology.
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Politics across Generations: Family Transmission Reexamined
Jennings, M. K., Stoker, L., & Bowers, J. (2009) · The Journal of Politics · doi:10.1017/s0022381609090719 · Cited by 1,139
The evolution of personality variation in humans and other animals.
Nettle, D. (2006) · American Psychologist · doi:10.1037/0003-066x.61.6.622 · Cited by 885
The Partisan Brain: An Identity-Based Model of Political Belief
Van Bavel, J. J., & Pereira, A. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.004 · Cited by 743
Metadata
- Authors
- ALFORD, J. R., FUNK, C. L., & HIBBING, J. R.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- 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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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.