Reliability and validity of an objective structured clinical examination for physical therapy students.
Bibliographic record
Abstract
The purpose of this study was to examine the reliability and validity of an objective structured clinical examination (OSCE) for students in the first year of a 2-year physical therapy program. Forty-eight students were examined at eight stations in one of two duplicate OSCE circuits. The stations evaluated skills required for the management of persons with chronic musculoskeletal conditions. At each station, students were required to interact with patients, demonstrate techniques, or interpret observations. Checklists were used to score all stations, which had equal values. The associations among stations were examined using Pearson's correlations and Cronbach's alpha. A two-way analysis of variance (ANOVA) with repeated measures was used to determine differences among stations and between circuits. The validity of the OSCE was evaluated by determining the correlations between scores on the stations and performance in a subsequent clinical practicum. Correlations between stations were r = -0.14 to 0.33 and between stations and clinical performance were r = -0.28 to 0.27. Cronbach's alpha was 0.48. The ANOVA revealed significant differences among stations (F = 62.6, p = 0.000) but not between circuits (F = 1.8, p = 0.185). There was no significant interaction between circuit and station (F = 1.1, p = 0.356). There was poor internal consistency of the OSCE, and it did not predict clinical performance. Further research is required to determine if a larger number of stations can reliably and validly assess clinical skills of physical therapy students.
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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 | 0.017 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".