Psychometric Properties of a Persian Version of the Perceived Stress Scale (PSS) in Military Personnel
Bibliographic record
Abstract
Perceived Stress Scale (PSS) is a widely used measure of stress. However, the dimensions of this scale are not clearly defined, and there is little information on the use of the scale in military personnel. This study examined the psychometric properties of an Iranian version of the PSS in a military population. A sample of 406 military personnel were recruited from three military units in Tehran, Iran. Construct validity via exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and concurrent validity were examined. Cronbach’s alpha was used to assess reliability. EFA was used on the first half of the sample (n = 206); two factors were identified that explained 55.1% of the total variance. CFA was performed on the second half of the sample (n = 200), confirming a two-factor solution. CFA showed good model fit (comparative fit index [CFI] = 0.993, normed χ2 = 2.42, root mean square error of approximation [RMSEA] = 0.059). The two PSS subscales were strongly associated with psychological distress, indicating concurrent validity. Internal reliability was acceptable (alpha = 0.79–0.90). The Persian version of the PSS has acceptable psychometric properties, allowing it to be used as a measure of perceived stress in Iranian military personnel.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".