Data-driven vs. psychological personality temperaments
Theoretical and clinical utility of personality measures in psychiatry
Bibliographic Data
| ID | 17801285 |
|---|---|
| Authors | Abdelrahman S Sawalma (Forschungszentrum Jülich), Mahmud A Sehwail (Al-Quds University), Jürgen Dammers (0000-0003-1526-6592, Forschungszentrum Jülich), Mohammad M Herzallah (0000-0002-7808-481X, Rutgers, the State University of New Jersey, corresponding author) |
| Year | 2024 |
| Volume | 15 |
| Pages | 1436121-1436121 |
| Publication date | 2024-12-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2024.1436121 |
| PMID | 39713772 |
| OpenAlex | W4405073122 |
| Language | EN |
| References cited | 15 |
Decades of research on personality identified dissociable psychological temperaments. Cloninger's temperament and character theory used a psychobiological approach to differentiate three major dimensions of personality: harm avoidance, novelty seeking, and reward dependence. Previous studies, heretofore, did not examine the correspondence between Cloninger's psychological temperaments and statistically independent data-driven components and how that could enhance the clinical utility of personality temperaments. In this study, we validated an Arabic version of the tri-dimensional personality questionnaire (TPQ) to construct data-driven personality temperaments using independent component analysis (ICA). Using SVM, we contrasted the clinical utility of data-driven personality vs. Cloninger's psychological temperaments in differentiating medication-naïve patients with major depressive disorder (N=244) and healthy subjects (N=1109). Data-driven personality components based on ICA showed very little overlap with Cloninger's original temperaments. Both Cloninger's temperaments and data-driven components revealed low internal consistency (for subscales) but high test-retest reliability. Cloninger's temperaments, however, showed a poor goodness-of-fit for the structure of the TPQ. Data-driven components significantly outperformed psychological TPQ temperaments with higher accuracy and recall but not precision. To our knowledge, this is the first study to examine the clinical utility of data-driven vs. psychological personality metrics using a sizeable sample of patients and healthy individuals. Our results could have wide implications for reexamining psychometric data to extract data-driven latent structures that can improve replicability, clinical utility, and cross-disciplinary inference
Avoidant personality disorder · Harm avoidance · Novelty seeking · Personality · Personality disorders · Reward dependence · Temperament · Temperament and Character Inventory · Clinical Psychology · Functional Brain Connectivity Studies · Mental Health Research Topics · Personality Disorders and Psychopathology · Psychology · Social Psychology
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A Systematic Method for Clinical Description and Classification of Personality Variants
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A Rationale and Test for the Number of Factors in Factor Analysis
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| Citation velocity | historical |
|---|---|
| Highly cited | No |