Systematic review of the psychometric properties of cultural adaptations and translations of the <scp>Children's Assessment of Participation and Enjoyment</scp> (CAPE)
Bibliographic record
Abstract
BACKGROUND: The Children's Assessment of Participation and Enjoyment (CAPE) is the most widely used questionnaire for the assessment of children participation. While several cultural adaptations and translations exist, the quality of the methods used to produce them, as well as their psychometric properties, remains unclear. The aim of this systematic review was to evaluate the different translated and/or culturally adapted versions of the CAPE for children and youth with and without disabilities. METHOD: A search was performed in five electronic databases CINAHL (EBSCO), MEDLINE (OVID), EMBASE (ELSEVIER), PSYCINFO (OVID), and WEB OF SCIENCE Core Collection (CLARIVATE), for articles available in French or English with the last update in July 2022. All studies related to a cultural adaptation and/or translation of the CAPE were retained and evaluated based on established guidelines for cross-cultural adaptations and measurement properties. The extraction was done independently by two authors. A critical appraisal of translation and psychometric properties methods was performed. Critical appraisal of the articles was done using the Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures tool and the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology. RESULTS: The search identified 642 studies (321 duplicates removed), 16 of which underwent full-text review. Nine studies met all inclusion criteria and underwent analysis. According to the recommended steps for cross-cultural adaptations, one study performed 100% of the steps and two others performed 80%. None of the studies met all the recommendations for the evaluation of psychometric properties. A full evaluation of reliability and internal consistency were reported by 74% of studies. None of the studies reported a full evaluation of responsiveness, agreement and/or construct validity. CONCLUSIONS: This review demonstrated limitations in the robustness of the methods used to develop and evaluate translated and culturally adapted versions of CAPE. To ensure valid and reliable results when conducting future research using the CAPE, it is recommended to fully evaluate the psychometric properties of the existing versions and to produce other translated and culturally adapted versions of the questionnaire.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".