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Alignment of the Personality Inventory for ICD-11 With the Five-Factor Model of Personality.

Authors :
Stricker, Johannes
Buecker, Susanne
Pietrowsky, Reinhard
Source :
Psychological Assessment. Jul2022, Vol. 34 Issue 7, p711-716. 6p.
Publication Year :
2022

Abstract

A central innovation in the International Classification of Diseases 11th Revision (ICD-11) is a dimensional personality disorder model differentiating five personality trait domains. The Personality Inventory for ICD-11 (PiCD) is a frequently used measure to assess these components of the ICD-11 personality disorder model. Conceptually, the ICD-11 personality trait domains correspond to trait domains from the five-factor model (FFM) of personality. However, empirically, it is unclear how the PiCD scales align with the FFM. In this questionnaire study with 480 German community adults, we assessed the joint factor structure of the PiCD trait domain scales and the FFM personality facets (assessed with the Big Five Inventory-2 [BFI-2]). A principal axis factor analysis revealed a joint five-factorial structure. The PiCD trait domain scales and the BFI-2 facet scales of the respectively corresponding FFM trait domains were almost perfectly aligned, including a bipolar anankastia–disinhibition factor along the conscientiousness dimension. Facets of openness to experience formed a fifth factor, separate from the PiCD scales. Together, these findings demonstrate structural correspondences of the PiCD trait domain scales and the respective BFI-2 facet scales, mirroring conceptual analogies between the ICD-11 and FFM personality models. Public Significance Statement: The study suggests that the Personality Inventory for ICD-11 (PiCD) aligns with the five-factor model (FFM) of personality. Thus, the PiCD appears to reflect theoretically postulated correspondences between the FFM and the ICD-11 personality disorder model, which supports the validity of the PiCD trait domain scores for assessing the ICD-11 personality trait domains. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10403590
Volume :
34
Issue :
7
Database :
Academic Search Index
Journal :
Psychological Assessment
Publication Type :
Academic Journal
Accession number :
161849520
Full Text :
https://doi.org/10.1037/pas0001141