Correlation between Global Rating Scale and Specific Checklist Scores for Professional Behaviour of Physical Therapy Students in Practical Examinations
Bibliographic record
Abstract
The purpose of this study was to determine whether or not the specific item checklist (checklist) and global rating scale (GRS) scores are correlated in practical skills examinations (PSEs). Professional behaviour was evaluated using both the checklist and GRS scores for 183 students in three PSEs. Mean, standard deviation, and correlation for checklist and GRS scores were calculated for each station, within each PSE. Pass rate for checklist and GRS was determined for each PSE, as well as for each individual checklist item within each PSE. Overall, pass rate was high for both checklist and GRS evaluations of professional behaviour in all PSEs. Generally, mean scores for the checklist and GRS were high, with low standard deviations, resulting in low data variability. Spearman correlation between total checklist and GRS scores was statistically significant for two out of five stations in PSE 1, five out of six stations in PSE 2, and three out of four stations in PSE 3. The GRS is comparable to the checklist for evaluation of professional behaviour in physical therapy (PT) students. The correlation between the checklist and GRS appears to become stronger in the assessment of more advanced 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 | 0.005 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".