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Dimensional models of personality disorder: coverage and cutoffs
1Department of Psychological Sciences, University of Missouri-Columbia, 106C McAlester Hall, Columbia, MO 65211, USA. TrullT@missouri.edu
Dimensional models for personality disorders face challenges in coverage and cutoffs. Four key personality domains show promise for a new diagnostic system, addressing these limitations for better personality disorder assessment.
Area of Science:
- Psychiatry
- Psychology
- Personality Science
Background:
- Current categorical systems for diagnosing personality disorders face challenges.
- Dimensional models offer potential alternatives but require addressing coverage and cutoff issues.
- Evaluating existing dimensional models is crucial for advancing personality disorder diagnostics.
Purpose of the Study:
- To evaluate dimensional models of personality and personality pathology.
- To address the challenges of coverage and cutoffs in dimensional diagnostic systems.
- To propose a framework for a dimensionally-based personality disorder diagnostic system.
Main Methods:
- Review and evaluation of several dimensional models of personality.
- Analysis of model coverage and cutoff criteria in relation to personality pathology.
- Identification of higher-order personality domains relevant to personality disorders.
Main Results:
- Growing consensus supports at least four higher-order personality domains relevant to pathology: neuroticism/negative affectivity/emotional dysregulation, extraversion/positive emotionality, dissocial/antagonistic behavior, and constraint/compulsivity/conscientiousness.
- These domains offer a foundation for addressing coverage and cutoff issues.
- The evaluated models highlight the need for a more nuanced approach to personality assessment.
Conclusions:
- Dimensional models show promise as alternatives to categorical systems for personality disorders.
- The identified higher-order domains are critical for developing a robust dimensional diagnostic system.
- A proposed dimensionally-based system incorporating these traits could improve personality disorder diagnosis and assessment.
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