A Neural Network Approach to Comparing AMPD and Object Relations Theory for Personality Disorder Assessment

Datos Bibliográficos

ID21352145
AutoresAzad Hemmati (0000-0002-5863-5987, University of Kurdistan), Amin Nazari (0009-0008-8879-7048, University of Kurdistan, autor de correspondencia), Codi Sharp (0000-0001-8349-4701, University of Houston), Saeid Komasi (0000-0002-0198-3710, Department of Neuroscience and Psychopathology Research, Mind GPS Institute)
Año2026
Volumen108
Número1
Páginas44-55
Fecha de publicación2026-01-02
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Personality Assessment (JOURNAL)
Identificadores de la revistaISSN: 0022-3891 • E-ISSN: 1532-7752
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00223891.2025.2545323
PMID40833025
OpenAlexW4413366463
IdiomaEN
Referencias citadas72

While prior research has explored the relationship between Object Relations Theory (ORT) and the Alternative Model for Personality Disorders (AMPD), comprehensive comparisons across diverse clinical populations and methodologies remain limited. This study investigated the predictive accuracy of AMPD and ORT in identifying personality psychopathology using neural network models within a mixed sample of 639 participants (229 non-clinical undergraduates, 410 psychiatric inpatients). Data were collected using Persian translations of the Level of Personality Functioning Scale-Self-Report (LPFS-SR), the Personality Inventory for DSM-5 (PID-5) (AMPD measures), and the Structured Interview of Personality Organization-Revised (STIPO-R) (ORT measure). Results indicated significant differences in all subscales of both models between clinical and non-clinical groups. Notably, the borderline personality disorder group showed elevated scores on specific STIPO-R subscales and all AMPD constructs except empathy. Neural network models achieved over 65% accuracy in predicting group membership, with AMPD slightly surpassing ORT (66%+ vs. 65%+). Receiver Operating Characteristic (ROC) analysis demonstrated high sensitivity for both models, with Area Under the Curve (AUC) values ranging from 0.79 to 0.94. These findings underscore the significant utility of both AMPD and ORT for the assessment, early identification, and diagnosis of personality disorders

Developmental psychology · Empathy · Machine learning · Personality · Personality disorders · Psychiatry · Psychometrics · Psychopathology · Receiver operating characteristic · Clinical Psychology · Mental Health and Psychiatry · Personality Disorders and Psychopathology · Psychology · Psychotherapy Techniques and Applications · Social Psychology