The Personality Inventory for ICD-11: Investigating reliability, structural and concurrent validity, and method variance
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Published on: September 11, 2021
Michael Carnovale1, Martin Sellbom2, R Michael Bagby2
1Graduate Department of Psychological Clinical Science.
Abstract:
The 11th edition of the International Classification of Diseases and Related Health Problems (ICD-11), recently approved by the World Health Organization, contains a new diagnostic approach for personality disorders. This approach partly involves the consideration of 5 dimensional trait domain qualifiers-Negative Affectivity, Detachment, Dissocial, Disinhibition, and Anankastia. Oltmanns and Widiger (2018) recently developed a self-report measure, the Personality Inventory for ICD-11 (PiCD), to assess the 5 domains; however, further examination of the psychometric properties of the PiCD is warranted due to its limited research base. The present study aimed to further examine the reliability, structural and concurrent validity, and method variance of the PiCD in an ethnically diverse undergraduate sample (N = 518), who were also administered the Minnesota Multiphasic Personality Inventory-2-Restructured Form. First, results suggested that the PiCD domain scales exhibited adequate internal consistency reliability via coefficient categorical omega (range = .77-.87). Next, exploratory structural equation modeling results suggested support for a 4-factor solution, with the 4th factor thought to represent a bipolar continuum of Anankastia to Disinhibition severity. Random-intercept factor analysis results suggested a small amount of variance in items (4.88%) attributable to idiosyncratic scale usage. Lastly, relations between PiCD domains and Minnesota Multiphasic Personality Inventory-2-Restructured Form scales (Personality Psychopathology-5 and Higher Order scales) provided support for the validity of the Negative Affectivity, Detachment, and Dissocial domains, though relatively less support for the Disinhibition and Anankastia domains. Further examination of other psychometric properties and the nomological network of the PiCD is recommended. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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