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The current study examined the reliability and validity of the Comprehensive Assessment of Traits Relevant to Personality Disorder–Static Form (CAT-PD-SF), a dimensional measure of personality psychopathology. Specifically, we used exploratory factor analysis to determine the best higher order structure for the CAT-PD-SF traits. Results suggested a five-factor structure, albeit with marginal model fit. Second, we used correlation analyses to compare the CAT-PD-SF with two additional dimensional measures of personality, the Personality Inventory for DSM-5–Brief Form and the Five-Factor Model Rating Form. The results demonstrated the CAT-PD-SF scale scores were associated with domain and facet scores from these two models in a conceptually expected manner. Finally, we explored the association between the CAT-PD-SF scores and functional impairment and found moderate associations between CAT-PD-SF trait and functional impairment scores (as measured by the Measure of Disordered Personality Functioning Scale). Overall, findings add support to the structure of the CAT-PD model, and the use of the CAT-PD-SF in measuring dimensional personality psychopathology and impairment.

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The field of psychopathy research largely argues that the disorder is a heterogeneous concept with two predominant subtypes: primary psychopathy and secondary psychopathy. Early research examined psychopathy subtypes in terms of traits specific to psychopathy. However, recent research suggests that psychopathy may be conceptualized more dimensionally as an extreme variation in normative personality traits. This concept propels the examination of psychopathy using a broader model of personality, the Five Factor Model. Using model-based cluster analysis, this study uses the Five Factor Model to identify subtypes. Utilizing an American college sample, a cluster analysis was performed on the highest third of Psychopathic Personality Inventory (PPI)-Total scorers using the Neuroticism Extraversion Openness Personality Inventory-Revised (NEO-PI-R) domains. This analysis yielded a two-cluster