Measuring maladaptive personality traits with the Structured Clinical Interview for DSM‐IV Axis II Screening Questionnaire using a common metrics approach

Uložené v:
Podrobná bibliografia
Názov: Measuring maladaptive personality traits with the Structured Clinical Interview for DSM‐IV Axis II Screening Questionnaire using a common metrics approach
Autori: Cameri Krasniqi, Steffen Müller, Leon Patrick Wendt, Felix Fischer, Carsten Spitzer, Johannes Zimmermann
Zdroj: Personality and Mental Health. 18:191-203
Informácie o vydavateľovi: Wiley, 2024.
Rok vydania: 2024
Predmety: Male, Adult, Psychometrics, Personality Inventory, Adolescent, Klassifikation, Reproducibility of Results, Fragebogen, Middle Aged, Modell, 16. Peace & justice, Personality Disorders, Diagnostic and Statistical Manual of Mental Disorders, Young Adult, Surveys and Questionnaires, Interview, Psychological, Persönlichkeitsstörung, Humans, Female, Aged
Popis: The classification of personality disorder (PD) is undergoing a paradigm shift in which categorically defined specific PDs are being replaced by dimensionally defined maladaptive trait domains. To bridge the classificatory approaches, this study attempts to use items from the categorical PD model in DSM‐IV to measure the maladaptive trait domains described in DSM‐5 Section III/ICD‐11. A general population sample comprising 1228 participants completed the Screening Questionnaire of the Structured Clinical Interview for DSM‐IV Axis II (SCID‐II‐SQ), the Personality Inventory for DSM‐5 (PID‐5), and the anankastia scale of the Personality Inventory for ICD‐11 (PiCD). Using item response theory models and a psychometric linking technique, SCID‐II‐SQ items were evaluated for their contribution to measuring maladaptive trait domains. The best discriminating items were then selected to derive proxy scales. We found that convergent validity of these proxy scales was in a similar range to that of other self‐report measures for PD, except for the proxy scale for PiCD anankastia. However, only the proxy scale for negative affectivity showed acceptable reliability that would allow its application in research settings. Future studies should seek to establish a common metric between specific PDs and maladaptive trait domains using self‐report measures with higher specificity or semi‐structured interviews.
Druh dokumentu: Article
Jazyk: English
ISSN: 1932-863X
1932-8621
DOI: 10.1002/pmh.1607
DOI: 10.31234/osf.io/xfmpv
DOI: 10.17170/kobra-2024082310703
Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38527862
Rights: CC BY NC ND
CC BY
Prístupové číslo: edsair.doi.dedup.....e5dfebe8efc7e1bcb27c08567b178575
Databáza: OpenAIRE
Popis
Abstrakt:The classification of personality disorder (PD) is undergoing a paradigm shift in which categorically defined specific PDs are being replaced by dimensionally defined maladaptive trait domains. To bridge the classificatory approaches, this study attempts to use items from the categorical PD model in DSM‐IV to measure the maladaptive trait domains described in DSM‐5 Section III/ICD‐11. A general population sample comprising 1228 participants completed the Screening Questionnaire of the Structured Clinical Interview for DSM‐IV Axis II (SCID‐II‐SQ), the Personality Inventory for DSM‐5 (PID‐5), and the anankastia scale of the Personality Inventory for ICD‐11 (PiCD). Using item response theory models and a psychometric linking technique, SCID‐II‐SQ items were evaluated for their contribution to measuring maladaptive trait domains. The best discriminating items were then selected to derive proxy scales. We found that convergent validity of these proxy scales was in a similar range to that of other self‐report measures for PD, except for the proxy scale for PiCD anankastia. However, only the proxy scale for negative affectivity showed acceptable reliability that would allow its application in research settings. Future studies should seek to establish a common metric between specific PDs and maladaptive trait domains using self‐report measures with higher specificity or semi‐structured interviews.
ISSN:1932863X
19328621
DOI:10.1002/pmh.1607