Comparing the Prediction of Dimensional Personality Disorders (PID-5) After Three Personality Trait Models

Abstract

Abstract. A dimensional approach for Personality Disorders was proposed in the DSM-5. To assess this approach, a new instrument (the Personality Inventory for DSM-5 [PID-5]) was developed in 2012. One research line has analyzed its convergent validity with personality traits, focusing almost exclusively on the Five-Factor Model (FFM). However, previous evidence about the relationships between Categorical Personality Disorders and other personality trait models shows that they can improve our understanding of Personality Disorders beyond the FFM. The aim of the present study is to compare the power of three personality models (FFM, Cloninger’s, and Zuckerman’s) to predict PID-5 domains. Three samples from the Spanish and Catalan general population were collected for this study depending on which personality questionnaire was applied (1,052 for revised NEO Personality Inventory [NEO-PI-R], 465 for Zuckerman-Kuhlman-Aluja Personality Questionnaire [ZKA-PQ], and 332 for Temperament and Character Inventory Revised [TCI-R-140]). The PID-5 was also applied to all subjects. Factor and regression results indicate that the three models were able to predict Dimensional Personality Disorders well, although some differences emerge between them. Specific relationships between dimensional disorders and traits, the role of the facets as well as the utility of the results reported are discussed.