Initial psychometric evaluation of the Community Participation Activation Scale
Bibliographic record
Abstract
BACKGROUND.: Current assessments do not capture the dynamic and complex process of managing different individual and environmental factors influencing community participation post-stroke. PURPOSE.: The purpose of this study was to examine the psychometric properties of the Community Participation Activation Scale (CPAS) in persons with stroke. METHOD.: Rating scale structure, unidimensionality, reliability and precision, construct validity, and differential item functioning of the CPAS were examined with 93 community-dwelling people with stroke. FINDINGS.: The CPAS consists of 15 action items and 10 attitude items. Person separation reliabilities of the action and attitude domains were .75 and .72, respectively, and internal consistency reliabilities were good (>.80). The CPAS showed low to moderate correlation with community integration and enfranchisement constructs. IMPLICATIONS.: The CPAS may be used as an assessment to better understand an individual's level of activation and to inform individually designed, participation-focused interventions, although it needs further improvement to be used as a clinical measure.
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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 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".