Do OSCE progress test scores predict performance in a national high‐stakes examination?
Bibliographic record
Abstract
CONTEXT: Progress tests, in which learners are repeatedly assessed on equivalent content at different times in their training and provided with feedback, would seem to lend themselves well to a competency-based framework, which requires more frequent formative assessments. The objective structured clinical examination (OSCE) progress test is a relatively new form of assessment that is used to assess the progression of clinical skills. The purpose of this study was to establish further evidence for the use of an OSCE progress test by demonstrating an association between scores from this assessment method and those from a national high-stakes examination. METHODS: The results of 8 years' of data from an Internal Medicine Residency OSCE (IM-OSCE) progress test were compared with scores on the Royal College of Physicians and Surgeons of Canada Comprehensive Objective Examination in Internal Medicine (RCPSC IM examination), which is comprised of both a written and performance-based component (n = 180). Correlations between scores in the two examinations were calculated. Logistic regression analyses were performed comparing IM-OSCE progress test scores with an 'elevated risk of failure' on either component of the RCPSC IM examination. RESULTS: Correlations between scores from the IM-OSCE (for PGY-1 residents to PGY-4 residents) and those from the RCPSC IM examination ranged from 0.316 (p = 0.001) to 0.554 (<.001) for the performance-based component and 0.305 (p = 0.002) to 0.516 (p < 0.001) for the written component. Logistic regression models demonstrated that PGY-2 and PGY-4 scores from the IM-OSCE were predictive of an 'elevated risk of failure' on both components of the RCPSC IM examination. CONCLUSIONS: This study provides further evidence for the use of OSCE progress testing by demonstrating a correlation between scores from an OSCE progress test and a national high-stakes examination. Furthermore, there is evidence that OSCE progress test scores are predictive of future performance on a national high-stakes examination.
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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 | 0.004 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".