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Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)

Author

Listed:
  • Georgia Mangion

    (Clinical and Applied Psychology Unit, University of Sheffield, Sheffield S10 2TN, UK)

  • Melanie Simmonds-Buckley

    (Clinical and Applied Psychology Unit, University of Sheffield, Sheffield S10 2TN, UK
    Rotherham Doncaster and South Humber NHS Foundation Trust, Rotherham S61 1HE, UK)

  • Stephen Kellett

    (Clinical and Applied Psychology Unit, University of Sheffield, Sheffield S10 2TN, UK
    Rotherham Doncaster and South Humber NHS Foundation Trust, Rotherham S61 1HE, UK)

  • Peter Taylor

    (Clinical Psychology Department, University of Manchester, Manchester M13 9PL, UK)

  • Amy Degnan

    (Clinical Psychology Department, University of Manchester, Manchester M13 9PL, UK)

  • Charlotte Humphrey

    (Clinical Psychology Department, University of Manchester, Manchester M13 9PL, UK)

  • Kate Freshwater

    (Tees Esk and Wear Valleys NHS Foundation Trust, Darlington DL2 2TS, UK)

  • Marisa Poggioli

    (Private Practice, 20923 Piacenza, Italy)

  • Cristina Fiorani

    (Private Practice, 20923 Piacenza, Italy)

Abstract

Due to the relevance of identity disturbance to personality disorder this study sought to complete a network analysis of a well validated measure of identity disturbance; the personality structure questionnaire (PSQ). A multi-site and cross-national methodology created an overall sample of N = 1549. The global network structure of the PSQ was analysed and jointly estimated networks were compared across four subsamples (UK versus Italy, adults versus adolescents, clinical versus community and complex versus common presenting problems). Stability analyses assessed the robustness of identified networks. Results indicated that PSQ3 (unstable sense of self) and PSQ5 (mood variability) were the most central items in the global network structure. Network structures significantly differed between the UK and Italy. Centrality of items was largely consistent across subsamples. This study provides evidence of the potential network structure of identity disturbance and so guides clinicians in targeting interventions facilitating personality integration.

Suggested Citation

  • Georgia Mangion & Melanie Simmonds-Buckley & Stephen Kellett & Peter Taylor & Amy Degnan & Charlotte Humphrey & Kate Freshwater & Marisa Poggioli & Cristina Fiorani, 2022. "Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13793-:d:951266
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
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