The investigation of psychometric properties of the Persian version of personality inventory for DSM-5 (PID-5) in soldiers
Bibliographic record
Abstract
Background and Aim: The Personality Inventory for DSM�5 (PID�5) was created to aid a trait-based diagnostic system for personality disorders (PDs) in the Diagnostic and Statistical Manual of Mental Disorders (5th ed. DSM�5). Given the need for access to reliable diagnostic instruments of mental disorders in Persian language for military personnel, the present study was designed to translate and determine the reliability and internal consistency of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders-5th Edition (PID-5) instrument in soldiers. Methods: This study had a cross-sectional design. The research sample was 401 Iranian army soldiers. PID-5 was translated via forward and backward translation method (English-Persian). Soldiers then completed the questionnaire. The data were analyzed by SPSS-16. Results: Total Cronbach's alpha coefficient for Traits and Domains was 0.93 and 0.88, respectively. The range of obtained Cronbach's alpha for 24 facets were 0.60 to 0.82. which is considered acceptable and the lowest alpha was observed for suspiciousness (0.50). The range of Cronbach's alpha coefficient for Domains was 0.71 (Antagonism) to 0.84 (Psychoticism). Conclusion: The Persian version of PID-5 instrument had good reliability and internal consistency for the evaluation of personality traits. PID-5 may be used with confidence in the research and diagnosis of personality traits in the military setting. © 2018 University of Toronto Press Inc. All Rights Reserved.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".