RESEARCH PAPER
Personality Inventory for the DSM-5 trait correlates with self-reported acts of rape
 
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University of North Dakota, Grand Forks, ND, United States
 
These authors had equal contribution to this work
 
 
Submission date: 2023-09-08
 
 
Final revision date: 2024-01-19
 
 
Acceptance date: 2024-03-04
 
 
Online publication date: 2024-06-18
 
 
Corresponding author
Alan R. King   

University of North Dakota, Grand Forks, ND, United States
 
 
 
KEYWORDS
TOPICS
ABSTRACT
Background:
Sexual aggression researchers have identified “dark triad” personality traits as potential etiologic contributors to rape perpe-tration. The Personality Inventory for the DSM-5 (PID-5) canvasses trait dimensions that underlie a proposed hybrid diag-nostic model for the personality disorders.

Participants and procedure:
Associations between PID-5 item/facet/domain scores and self-reported acts of rape were examined in a national survey of men (N = 517) administered on a crowdsourcing platform.

Results:
Pervasive associations were found between various PID-5 risk indicators and acts of oral, anal, or vaginal physical contact with nonconsenting partner(s). While dimensional correlation coefficients were modest in size, odds ratios for elevated PID-5 facet dimensions were substantial. The odds of self-reported rape increased with the trait elevation count in a graded fash-ion. Selected PID-5 subscale dimensions (callousness, irresponsibility, grandiosity, intimacy avoidance, distractibility, and attention seeking) were significant correlates of self-reported rape. A subset of PID-5 items accounted for unshared variance in the criterion measures. Scores from the PID-5 appeared to provide useful risk indicators of sexual aggressiveness.

Conclusions:
Scores from the PID-5 appeared to provide useful risk indicators of sexual aggressiveness. Men with personality disorder trait elevations appear far more likely to acknowledge past behavior that constitutes sexual assault. These interpretations were limited by the cross-sectional, retrospective, and self-report nature of these data.

 
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