Psychometric Properties of the Persian Version of the Fear of Self Questionnaire
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to investigate the psychometric properties of the Persian version of the 20-item Fear of Self Questionnaire (FSQ) in Iranian samples. METHODS: A cross-sectional, descriptive survey design was used. Students in universities of Tehran were invited to participate. Participants were asked to complete the Persian versions of the FSQ, Vancouver Obsessional Compulsive Inventory (VOCI), Depression, Anxiety and Stress Scale (DASS-21), Ego Strength Scale (ESS), and Rosenberg's Self-Esteem Scale (RES). Face, content, and construct validity, internal consistency (Cronbach's alpha), and test-retest reliability of the FSQ were assessed. RESULTS: Face and content validity of the FSQ were confirmed. Analysis of the principal components using the inclined rotation method showed that there were two factors with an eigenvalue >1, which explained 80.5% of the total variance. The first factor had 12 items and the second factor had 8 items. The internal consistency was 0.975, 0.981, and 0.941 for the total score and the first and second factor, respectively, whereas the test-retest reliability was 0.732, 0.729, and 0.714, respectively (all p ≤ 0.01). For convergent validity of the FSQ, correlations of the total score and the two factors of the FSQ with the scores of VOCI, RES, ESS, and DASS-21 were all significant (p ≤ 0.01). CONCLUSION: The FSQ can be used in Iranian samples for clinical practice and research.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".