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Personality disorder clusters and the Defence Style Questionnaire
Birendra K Sinha1, David C Watson
1Departments of Psychology and Psychiatry, University of Alberta, Alberta, Canada. biren.sinha@ualberta.ca
Psychology and Psychotherapy
|March 18, 2004
Summary
This study shows defence mechanisms effectively predict personality disorder types using both DSM and Millon classifications. The Coolidge Axis II Inventory and Millon Clinical Multiaxial Inventory-II accurately identify specific personality disorder clusters.
Area of Science:
- Psychology
- Psychopathology
- Personality Disorders
Background:
- Personality disorders (PDs) are complex mental health conditions requiring accurate classification.
- Existing diagnostic systems, such as the DSM and Millon classifications, offer frameworks for understanding PDs.
- Defence mechanisms play a crucial role in psychological functioning and may differentiate between PD types.
Purpose of the Study:
- To investigate the discriminative power of 20 defence mechanisms in predicting personality disorder membership.
- To evaluate the utility of DSM-III-R and Millon's personality classification schemes.
- To compare the accuracy of the Coolidge Axis II Inventory (CATI) and Millon Clinical Multiaxial Inventory-II (MCMI-II) in classifying PD types.
Main Methods:
- Utilized the Defence Style Questionnaire (DSQ-40) to assess 20 defence mechanisms.
- Employed discriminant function analysis to determine the predictive contribution of defence mechanisms.
- Assessed personality disorders using the CATI and MCMI-II in a non-clinical sample.
Main Results:
- Discriminant function analysis supported the validity of both DSM and Millon classification systems.
- The CATI demonstrated high accuracy in classifying the DSM's odd cluster and Millon's ambivalent types.
- The MCMI-II accurately classified the DSM's odd and dramatic clusters, and Millon's independent and ambivalent types.
Conclusions:
- Defence mechanisms are valuable discriminators for personality disorder classification.
- Both the DSM and Millon systems show empirical support for their classification schemes.
- The CATI and MCMI-II exhibit differential accuracy in identifying specific personality disorder types.