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Personality and the Prediction of Consequential Outcomes
Abstract
Personality has consequences. Measures of personality have contemporaneous and predictive relations to a variety of important outcomes. Using the Big Five factors as heuristics for organizing the research literature, numerous consequential relations are identified. Personality dispositions are associated with happiness, physical and psychological health, spirituality, and identity at an individual level; associated with the quality of relationships with peers, family, and romantic others at an interpersonal level; and associated with occupational choice, satisfaction, and performance, as well as community involvement, criminal activity, and political ideology at a social institutional level.
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“Personality has been shown tobepredictive of amanifold of real-life outcomes, including the attainment of status (e.g., Ozer & Benet-Mart ınez, 2006; Roberts, Kuncel, Shiner, Caspi, & Goldberg, 2007).”
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Metadata
- Authors
- Ozer, D. J., & Benet-Martínez, V.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2006-01-01
- Volume
- 57
- Issue
- 1
- Pages
- 401-421
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2169683554
- Cited by
- 2,170
- References
- 21
- FWCI
- 6.08
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.