Faculty Evaluation by Residents in an Emergency Medicine Program: A New Evaluation Instrument
Bibliographic record
Abstract
OBJECTIVE: Evaluation of preceptors in training programs is essential; however, little research has been performed in the setting of the emergency department (ED). The goal of this pilot study was to determine the validity and reliability of a faculty evaluation instrument-the Emergency Rotation (ER) scale-developed specifically for use in emergency medicine (EM). METHODS: A prospective study comparing the ER scale with two alternative faculty evaluation instruments was completed in three of the five EDs affiliated with an EM teaching program, where emergency physicians are members of the clinical teaching faculty. The participants were 18 residents (postgraduate years 1, 2, and 3) who were completing four-week clinical rotations in EM. Residents at the end of the rotation recorded their evaluations of each emergency physician with whom they had clinical encounters on the following evaluation tools: the ER scale, a longer validated scale (Irby), and a global assessment scale (GAS). Domain scores were correlated with the previously validated scale and the GAS to determine validity using a multitrait-multimethod matrix. The reliability of the ER scale was measured using a Chronbach's alpha coefficient. RESULTS: Forty-eight preceptor evaluations were completed on 29 individual preceptors. The rating of preceptors was high using the ER scale (median: 16 of 20; IQR: 13, 18), Irby (median: 300 of 378; IQR: 267, 321), or GAS (mean: 7.8 of 10; SD: 1.3). Domain scores for each tool were used in the multitrait-multimethod matrix and the correlations between a previously validated tool and the ER scale were found to be high (>0.70) in the various domains. The internal consistency of the ER scale was also high (r = 0.85). CONCLUSIONS: The ER scale appears to be valid and reliable. It performs well when compared with previously psychometrically tested tools. It is a sensible, well-adapted tool for the teaching environment offered by EM.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.117 | 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".