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Published on: March 8, 2018
Applying Personality Assessment Inventory Borderline Scales and Alternative Model for Personality Disorder Borderline
Kelsey A Hobbs1, Jared Ruchensky2, Whitney Erby3
1Mclean Hospital and Harvard Medical School, Arlington, Massachusetts, USA.
The Personality Assessment Inventory (PAI) Borderline scales and new Alternative Model for Personality Disorders (AMPD) facets effectively predict Borderline Personality Disorder (BPD) criteria. This combined approach offers improved assessment for BPD diagnosis and understanding.
Area of Science:
- Psychiatry and Clinical Psychology
- Psychological Assessment and Diagnosis
- Personality Disorders Research
Background:
- The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) Alternative Model for Personality Disorders (AMPD) offers a dimensional approach to personality pathology.
- Assessing borderline personality disorder (BPD) requires evaluating both functional impairment and specific personality traits.
- Traditional measures like the Personality Assessment Inventory (PAI) Borderline (BOR) scales need integration with newer conceptualizations like AMPD.
Purpose of the Study:
- To investigate the predictive validity of combining traditional PAI Borderline scales with novel PAI-derived AMPD BPD facets.
- To assess the ability of these combined measures to predict DSM BPD criteria as identified by structured clinical interviews and a specialized scale.
- To explore the utility of these measures in predicting psychological health and illness severity.
Main Methods:
- Two independent clinical samples (N=143 and N=129) were utilized.
- Correlational analyses were performed between AMPD BPD facets, PAI BOR scales, DSM BPD criteria (SCID-II), and the OMNI Borderline Personality Scale.
- Hierarchical linear regressions with stepwise entry were employed to determine predictive power.
Main Results:
- The combination of PAI BOR subscales and AMPD BPD facets significantly predicted SCID-II BPD criteria, explaining 37% of the variance.
- This combined approach demonstrated even stronger prediction for the OMNI Borderline scale, accounting for 67% of the variance.
- The BPD facet total and PAI BOR full scale showed predictive ability for psychological health and illness severity.
Conclusions:
- Integrating traditional PAI Borderline scales with AMPD-derived facets enhances the prediction of BPD criteria.
- This combined assessment strategy offers a more comprehensive approach to identifying and understanding borderline personality pathology.
- Findings support the clinical utility of the AMPD framework and its integration with existing psychometric tools for BPD assessment.
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