@article{ref1,
title="Associations between the Personality Inventory for DSM-5 trait facets and aggression among outpatients with personality disorder: a multimethod study",
journal="Comprehensive psychiatry",
year="2022",
author="Leclerc, Philippe and Savard, Claudia and Vachon, David D. and Payant, Maude and Lampron, Mireille and Tremblay, Marc and Gamache, Dominick",
volume="116",
number="",
pages="e152316-e152316",
abstract="BACKGROUND: Most research on the Personality Inventory for DSM-5 (PID-5) was conducted with self-reports. One of the specific areas for which a multimethod design has yet to be implemented is for the PID-5's associations with aggression. The main objectives of this study were to (a) compare the PID-5 associations with self-reported and file-rated aggression, (b) compare these associations between women and men, and (c) identify the relative importance of PID-5 facet predictors. <br><br>METHODS: A sample of outpatients with personality disorder (N = 285) was recruited in a specialized public clinic to complete questionnaires, and a subsample was assessed for file-rated aggression (n = 227). Multiple regression analyses were performed with PID-5 facets as statistical predictors but using distinct operationalizations of aggression (self-reported vs. file-rated). Moderation analyses were performed to identify the moderating effect of biological sex. Dominance analyses were computed to identify the relative importance of predictors. <br><br>RESULTS: PID-5 facet predictors of self-reported and file-rated aggression were very consistent in both conditions. However, the amount of explained variance was reduced in the latter case (from 39% to 14%), especially for women (from 40% to 2%). The most important predictors were Hostility, Risk Taking, and Callousness. <br><br>CONCLUSION: Pertaining to the statistically significant facets associated with aggression, strong evidence of multimethod replication was found. The women-men discrepancies were not most obvious in their specific associations with aggression, but rather in their amount of explained variance, maybe reflecting examiners' or patients' implicit biases, and/or different manifestations of aggression between women and men.<p /> <p>Language: en</p>",
language="en",
issn="0010-440X",
doi="10.1016/j.comppsych.2022.152316",
url="http://dx.doi.org/10.1016/j.comppsych.2022.152316"
}