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Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)
Georgia Mangion1, Melanie Simmonds-Buckley1,2, Stephen Kellett1,2
1Clinical and Applied Psychology Unit, University of Sheffield, Sheffield S10 2TN, UK.
This study analyzed the Personality Structure Questionnaire (PSQ) to understand identity disturbance. Unstable sense of self and mood variability were key factors, offering insights for personality disorder interventions.
Area of Science:
- Psychology
- Clinical Psychology
- Network Analysis
Background:
- Identity disturbance is highly relevant to personality disorder.
- The Personality Structure Questionnaire (PSQ) is a validated measure of identity disturbance.
Purpose of the Study:
- To conduct a network analysis of the PSQ.
- To explore the network structure of identity disturbance.
- To compare network structures across different cultural and clinical groups.
Main Methods:
- Network analysis of the PSQ using a multi-site, cross-national sample (N=1549).
- Comparison of jointly estimated networks across four subsamples: UK vs. Italy, adults vs. adolescents, clinical vs. community, and complex vs. common presenting problems.
- Stability analyses to assess network robustness.
Main Results:
- PSQ3 (unstable sense of self) and PSQ5 (mood variability) emerged as the most central items in the global network.
- Significant differences in network structures were observed between the UK and Italy.
- Item centrality remained largely consistent across subsamples.
Conclusions:
- The study provides evidence for the network structure of identity disturbance.
- Findings guide clinicians in targeting interventions for personality integration.
- Network analysis offers a valuable framework for understanding and treating identity disturbance.
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