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Journal of abnormal psychology · 2019

Aspects of extraversion and their associations with psychopathology.

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Watson David, Ellickson-Larew Stephanie, Stanton Kasey, Levin-Aspenson Holly F, Khoo Shereen, Stasik-O'Brien Sara M, Clark Lee Anna

Аннотация

Extraversion shows both negative and positive associations with psychopathology. Previous work in this area has focused largely on either a broad higher order extraversion domain score or on specific lower-order extraversion facets. The goal of this study was to explicate how two intermediate aspects of the trait-communal extraversion and agentic extraversion-relate to psychopathology. We examined these relations using the Communal Extraversion (e.g., enjoy spending time with people, would describe myself as cheerful, like places that are crowded and exciting) and Agentic Extraversion (e.g., speak my mind, take charge in a group of people, like the sensation of going really fast) scales from the Faceted Inventory of the Five-Factor Model (FI-FFM; Watson, Nus, & Wu, 2019). As expected, Communal Extraversion generally showed negative associations with psychopathology; it had particularly strong links to indicators of internalizing, including depression symptoms (correlations generally ranged from -.40 to -.60) and various forms of social dysfunction (most correlations ranged from -.35 to -.60). In marked contrast, Agentic Extraversion tended to have positive associations with psychopathology; it displayed particularly substantial links to indicators of mania, narcissism/narcissistic personality disorder, and traits related to externalizing (correlations generally ranged from .25 to .50). Regression results demonstrated that aspect-level analyses generated substantial increases in predictive power over the FI-FFM Extraversion domain score. This basic pattern of results replicated over time, across gender, and across both self-rated and interview-based indicators of psychopathology. These findings establish the value of examining relations with extraversion at the aspect level. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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