Criterion scores, construct validity and reliability of a web-based instrument to assess physiotherapists’ clinical reasoning focused on behaviour change: ‘Reasoning 4 Change’
Bibliographic record
Abstract
Background and aim: ‘Reasoning 4 Change’ (R4C) is a newly developed instrument, including four domains (D1–D4), to assess clinical practitioners’ and students’ clinical reasoning with a focus on clients’ behaviour change in a physiotherapy context. To establish its use in education and research, its psychometric properties needed to be evaluated. The aim of the study was to generate criterion scores and evaluate the reliability and construct validity of a web-based version of the R4C instrument. Methods: Fourteen physiotherapy experts and 39 final-year physiotherapy students completed the R4C instrument and the Pain Attitudes and Beliefs Scale for Physiotherapists (PABS-PT). Twelve experts and 17 students completed the R4C instrument on a second occasion. The R4C instrument was evaluated with regard to: internal consistency (five subscales of D1); test-retest reliability (D1–D4); inter-rater reliability (D2–D4); and construct validity in terms of convergent validity (D1.4, D2, D4). Criterion scores were generated based on the experts’ responses to identify the scores of qualified practitioners’ clinical reasoning abilities. Results: For the expert and student samples, the analyses demonstrated satisfactory internal consistency (a range: 0.67–0.91), satisfactory test-retest reliability (ICC range: 0.46–0.94) except for D3 for the experts and D4 for the students. The inter-rater reliability demonstrated excellent agreement within the expert group (ICC range: 0.94–1.0). The correlations between the R4C instrument and PABS-PT (r range: 0.06–0.76) supported acceptable construct validity. Conclusions: The web-based R4C instrument shows satisfactory psychometric properties and could be useful in education and research. The use of the instrument may contribute to a deeper understanding of physiotherapists’ and students’ clinical reasoning, valuable for curriculum development and improvements of competencies in clinical reasoning related to clients’ behavioural change.
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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 | 0.021 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".