Psychometric properties of the performing arts module of the Disabilities of the Arm, Shoulder, and Hand questionnaire
Bibliographic record
Abstract
BACKGROUND: The Disabilities of the Arm, Shoulder, and Hand questionnaire (DASH) offers an optional performing arts module. The goal was to examine the psychometric properties of this module in musicians. METHODS: This study is a secondary analysis of a randomized controlled trial on the effectiveness of a biopsychosocial intervention to prevent or reduce playing-related disability in conservatory students. Baseline data were used to examine internal consistency and discriminative validity of the performing arts module of the DASH questionnaire. Construct validity was analyzed by hypotheses testing. The performing arts module outcomes were compared to scores from the general DASH questionnaire, pain disability index, Short-Form 36, playing-related musculoskeletal disorder (PRMD) intensity, and pain intensity. RESULTS: Questionnaires completed by 130 conservatory students were analyzed, 55% of the population was female. Median age was 20 years (IQR 4). The performing arts module showed good internal consistency (Cronbach's alpha 0.893). Discriminative validity between students with and without PRMDs was good. Three out of six hypotheses were accepted, indicating moderate construct validity. CONCLUSIONS: The performing arts module showed good internal consistency, good discriminative validity and moderate construct validity in a population of conservatory students. Implications for Rehabilitation Musicians suffer frequently from musculoskeletal disorders, mostly in the upper extremity. The Disabilities of the Arm, Shoulder, and Hand questionnaire is a well-known outcome measure, which also includes a performing arts module. This study is the first to explore psychometric properties of the performing arts module. The performing arts module of the Disabilities of the Arm, Shoulder, and Hand questionnaire showed good internal consistency, good discriminative validity, and moderate construct validity.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".