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Dependent personality disorder: comparing an expert generated and empirically derived five-factor model personality
Joshua D Miller1, Donald R Lynam
1The University of Georgia, Athens, GA 30602-3013, USA. jdmiller@uga.edu
This study revises the five-factor model (FFM) profile for Dependent Personality Disorder (DPD) using meta-analysis. The new empirically-based FFM DPD profile better aligns with diagnostic criteria and comorbidity patterns.
Area of Science:
- Psychology
- Psychiatry
- Personality Disorders
Background:
- The five-factor model (FFM) shows promise for assessing personality disorders (PDs).
- Expert-generated FFM profiles for DSM-IV PDs may have limitations.
- The FFM Dependent Personality Disorder (DPD) profile may be misspecified.
Purpose of the Study:
- To conduct a meta-analytic review of FFM facets and DPD.
- To create a revised, empirically-based FFM DPD profile and count.
- To evaluate the revised FFM DPD profile's correlation with diagnostic and comorbidity measures.
Main Methods:
- Meta-analytic review of studies examining FFM facets and DPD.
- Development of a revised FFM DPD profile and count based on meta-analytic results.
- Correlation analysis with DSM-IV and non-DSM conceptualizations of maladaptive dependency.
Main Results:
- The revised FFM DPD profile and count demonstrated stronger correlations with maladaptive dependency measures.
- The revised FFM DPD profile successfully replicated typical comorbidity patterns found with DSM-IV DPD measures.
- Discrepancies between expert-generated and meta-analytic FFM DPD profiles were identified.
Conclusions:
- An empirically-based FFM DPD profile offers improved assessment of DPD.
- The revised FFM DPD profile enhances understanding of DPD's relationship with other conditions.
- Meta-analytic data provides a more accurate FFM representation of DPD compared to expert consensus.
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