Does Eysenck's personality model capture psychosis-proneness? A systematic review and meta-analysis
Eysenck's model of personality (PEN) was one of the most influential personality models in the 20th century. A unique characteristic of this model is the claim of psychosis-proneness being incorporated into it as one of its three basic traits - Psychoticism. The main goal of this systematic rev...
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Veröffentlicht in: | Personality and individual differences 2019-06, Vol.143, p.155-164 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Eysenck's model of personality (PEN) was one of the most influential personality models in the 20th century. A unique characteristic of this model is the claim of psychosis-proneness being incorporated into it as one of its three basic traits - Psychoticism. The main goal of this systematic review and meta-analysis is to find out the associations between PEN traits and a diverse set of operationalizations of psychosis-proneness (PP). We set the benchmark for assuming their distinctness to a correlation coefficient amounting to 0.40. A systematic review has been conducted, yielding 350 correlations of interest. By computing inverse sampling variance weighted mean correlation coefficients, we found the following associations between psychosis-proneness and Psychoticism, Extraversion, and Neuroticism, respectively: 0.21, −0.09, and 0.30. All prediction intervals around the three mean effect sizes do include zero, suggesting that psychosis-proneness is only marginally captured by the PEN model. Moderator analyses further demonstrated this distinctness and the lack of phenotypic validity of the Psychoticism scale/construct.
•Psychosis-proneness (PP) is not well represented within the Eysenck's PEN model.•PP is slightly more connected to Neuroticism (N) than to Psychoticism (P).•P cannot be considered a trait-like predisposition to psychotic-like experiences.•P scale primarily measures impulsive nonconformity, not PP. |
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ISSN: | 0191-8869 1873-3549 |
DOI: | 10.1016/j.paid.2019.02.009 |