More is more: Evidence for the incremental value of the SCID-II/SCID-5-PD specific factors over and above a general personality disorder factor
| Autor: | Niek Frans, Aleksander Heltne, Muirne C. S. Paap, Geir Pedersen, Theresa Wilberg, Sara Germans Selvik, Benjamin Hummelen |
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| Přispěvatelé: | Developmental and behavioural disorders in education and care: assessment and intervention |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Personality Inventory
media_common.quotation_subject PsycINFO DSM-5 International Classification of Diseases ICD-11 medicine Humans Personality personality disorders Set (psychology) media_common Conceptualization Personality pathology food and beverages medicine.disease Personality disorders bifactor model Diagnostic and Statistical Manual of Mental Disorders Psychiatry and Mental health Clinical Psychology Conduct disorder Trait Psychology Clinical psychology personality pathology |
| Zdroj: | Personality Disorders: Theory, Research, and Treatment, 13(2), 108-118. American Psychological Association |
| ISSN: | 1949-2723 |
| Popis: | Currently, 3 competing conceptualizations of personality dysfunction can be distinguished: the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) categorical model delineating 10 distinct types of personality disorders (PDs); the alternative model for PDs (DSM-5 Section III), which assesses personality functioning and traits separately; and the International Classification of Diseases, 11th Version conceptualization, which provides 1 single code for the presence of a PD (which is based on problems in functioning) as well as codes that specify the level of the disorder (mild/moderate/severe), and prominent trait domains or patterns (5 domains and 1 pattern). The current study aims to assess the incremental value of the DSM-5 PDs over and above a global personality dysfunction factor, using expert ratings obtained with the Structured Clinical Interview for DSM-IV PDs and the Structured Clinical Interview for DSM-5 PDs interview in a large sample of clinical patients (N = 3,851). All estimated bifactor models provided adequate fit to the data. We found a surprisingly low explained common variance for the g-factor ( |
| Databáze: | OpenAIRE |
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