Initial Development of the Health Promoting Activities Scale to Measure the Leisure Participation of Mothers of Children With Disabilities
Bibliographic record
Abstract
OBJECTIVE. The Health Promoting Activities Scale (HPAS) measures the frequency with which mothers participate in self-selected leisure activities that promote health and well-being. We undertook an initial evaluation of the scale with mothers of school-age children with developmental disabilities ( N = 152). METHOD. We used a mixed methodology in the instrument design: a qualitative study to generate items and a quantitative study to evaluate the instrument. Our statistical analysis assessed the internal consistency, factor structure, and construct validity of the HPAS. RESULTS. The HPAS showed good internal consistency (Cronbach’s α = .78). Construct validity was supported by moderate correlations with subjective maternal mental and general health (Short Form 36, Version 2) and by differentiation in leisure participation among groups of mothers reporting differences in mental health status. CONCLUSION. Initial evaluation of the HPAS indicates that this brief tool is psychometrically sound. The HPAS allows professionals to evaluate clients’ participation in leisure occupations that promote health and well-being. Further development of the HPAS is warranted.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".