Coping and Involuntary Responses to Stress in Chinese University Students: Psychometric Properties of the Responses to Stress Questionnaire
Bibliographic record
Abstract
Our objective in this study was to develop a Chinese version of the Responses to Stress Questionnaire (RSQ; Connor-Smith, Compas, Wadsworth, Thomsen, and Saltzman, 2000) and to evaluate its reliability and validity. The Chinese (C) RSQ (RSQ-C) exhibited moderate internal consistency and moderate test-retest reliability. Results of the confirmatory factor analyses indicated that the fit of a 3-factor model of voluntary coping and a separate 2-factor model of involuntary responses to stress were acceptable for the Chinese university sample. With regard to predictive validity, the Primary and Secondary Control Engagement Coping factors were associated with lower levels of depressive and anxious symptoms, whereas the Disengagement, Involuntary Engagement, and Involuntary Disengagement Coping factors were associated with higher levels of such symptoms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".