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Record W2091263618 · doi:10.1080/00223891.2010.482015

Coping and Involuntary Responses to Stress in Chinese University Students: Psychometric Properties of the Responses to Stress Questionnaire

2010· article· en· W2091263618 on OpenAlex
Shuqiao Yao, Jing Xiao, Xiongzhao Zhu, Chenchen Zhang, Randy P. Auerbach, Chad M. McWhinnie, John R. Z. Abela, Chuanyue Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Personality Assessment · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyDisengagement theoryInternal consistencyConfirmatory factor analysisClinical psychologyCoping (psychology)Test validityPsychometricsStructural equation modelingMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.339
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it