The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
Correlation not Causation: The Relationship between Personality Traits and Political Ideologies
Open accessAbstract
The assumption in the personality and politics literature is that a person's personality motivates them to develop certain political attitudes later in life. This assumption is founded on the simple correlation between the two constructs and the observation that personality traits are genetically influenced and develop in infancy, whereas political preferences develop later in life. Work in psychology, behavioral genetics, and recently political science, however, has demonstrated that political preferences also develop in childhood and are equally influenced by genetic factors. These findings cast doubt on the assumed causal relationship between personality and politics. Here we test the causal relationship between personality traits and political attitudes using a direction of causation structural model on a genetically informative sample. The results suggest that personality traits do not cause people to develop political attitudes; rather, the correlation between the two is a function of an innate common underlying genetic factor.
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Effects of psilocybin therapy on personality structure
Erritzoe, D., Roseman, L., Nour, M. M., MacLean, K., Kaelen, M., Nutt, D. J., & Carhart‐Harris, R. L. (2018) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12904 · Cited by 267
Issues with data and analyses: Errors, underlying themes, and potential solutions
Brown, A. W., Kaiser, K. A., & Allison, D. B. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708279115 · Cited by 157
Minică, C. C., Dolan, C. V., Boomsma, D. I., de Geus, E., & Neale, M. C. (2018) · Behavior Genetics · doi:10.1007/s10519-018-9904-4 · Cited by 80
Metadata
- Authors
- Verhulst, B., Eaves, L. J., & Hatemi, P. K.
- Venue
- American Journal of Political Science
- Publisher
- Wiley
- Published
- 2011-12-16
- Volume
- 56
- Issue
- 1
- Pages
- 34-51
- ISSN
- 0092-5853 (ISSN-L)
- 1540-5907
- OpenAlex
- W2126990876
- Cited by
- 262
- References
- 116
- FWCI
- 17.51
- Type
- journal article
- Language
- en
- Open access
- green
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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.