AI Article Synopsis

  • The AMPD (Alternative Model for Personality Disorders) offers a new way to understand and diagnose personality disorders, built on the PID-5 assessment tool which measures personality traits.
  • The PID-5 has shown mostly good psychometric properties, but there are concerns about the variability in how its lower-order facet scales are structured across studies, with some facets loading onto multiple domains.
  • A meta-analysis of 14 independent samples was conducted to analyze the PID-5's internal structure, revealing that combining samples helps clarify the traits and reduces variability related to sampling errors.

Article Abstract

The Alternative Model for Personality Disorders (AMPD) in the , fifth edition, Section III, presents a new approach to conceptualizing personality psychopathology and diagnosing personality disorders. The (PID-5) was designed to measure Criterion B of the AMPD and is composed of 25 lower-order facet trait scales that form 5 higher-order domain trait scales. Although the PID-5 has mostly adequate to strong psychometric qualities, the lower-order factor structure of PID-5 facet scales has shown considerable variability across studies, and several PID-5 facets scales show evidence of interstitiality-the cross-loading of facets onto more than 1 domain. This interstitiality is neither unexpected nor especially problematic because complex models of personality have traits that are by nature interstitial. What is problematic, however, is that the factor loadings of these interstitial facets vary across samples, suggesting that some PID-5 facet scales are likely susceptible to sampling error and sampling variability. Moreover, the magnitude of some cross-loadings in some studies is substantive (i.e., ≥ .30). The objective of the current study was to conduct a meta-analysis of the internal structure of the PID-5 to offset potential variability associated with sampling error and gain a clearer picture of the lower-order structure of PID-5 facet scales. This was accomplished using weighted mean factor loadings of the PID-5 facet scales across 14 independent samples ( = 14,743). Results supported that the level of interstitiality decreased when multiple samples were combined, and a clearer picture of the internal structure of the PID-5 facet scales emerged. (PsycINFO Database Record

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http://dx.doi.org/10.1037/pas0000605DOI Listing

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