Psychometric Properties of the Padua Inventory in an Iranian Sample
Bibliographic record
Abstract
<p>To test the validity and reliability of Padua Inventory (PI) on an Iranian population in Shiraz city Iran, this research has been conducted. In the current study, items of PI following translation into Persian were carried out. Along the way, a sample consisting of two groups of subjects as follows: patients with obsessive-compulsive disorder (OCD) who were referred to mental health centers located in Shiraz (n = 100), and healthy individuals (n = 100) who were randomly selected employees of mental health centers, located in Shiraz city. The results of exploratory factor analysis (EFA) and Cronbach’s alpha showed a good level of the reliability and confirmed PI factorial structure that was consistent with previous studies. The results showed a significant statistical difference between OCD patients and control participants regarding PI scores with patients showing higher scores to provide evidence of construct validity of PI as an instrument.</p>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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".