JOURNAL ARTICLE
Psychopathy Facets and Intimate Partner Violence Perpetration and Victimization.
Published In: Journal of Personality Disorders, 2025, v. 39, n. 4. P. 261 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Chen, Haomin Ivy; Verona, Edelyn 3 of 3
Abstract
While research has demonstrated the relationship between psychopathy and intimate partner violence (IPV) perpetration, evidence is mixed regarding how psychopathy facets relate to different forms of IPV perpetration. Literature has also underexplored how psychopathy relates to IPV victimization. To address these gaps, we investigated specificity in relationships between four psychopathy facets (interpersonal, affective, lifestyle, antisocial) and three types of IPV perpetration and victimization experiences (physical, psychological, sexual) across three samples. Zero-order correlations and regressions were conducted separately, followed by z tests synthesizing the results. Across samples, correlations revealed small-to-moderate relationships between psychopathy facets and IPVs while multiple regressions revealed minimal-to-small unique effects of the facets. Findings highlight (a) that the lifestyle facet demonstrated the most consistent correlations with IPV experiences across samples while the other facets showed sample-specific relationships, and (b) that the limited unique effects of psychopathy facets implicate what they have in common as relevant to IPV experiences. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Personality Disorders. 2025/08, Vol. 39, Issue 4, p261
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:0885-579X
- DOI:10.1521/pedi.2025.39.4.261
- Accession Number:187146660
- Copyright Statement:Copyright of Journal of Personality Disorders is the property of Guilford Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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