Adaptation of the Professionalism Mini- Evaluation Exercise Instrument Into Turkish: A Validity and Reliability Study
Bibliographic record
Abstract
Abstract Background There is an ongoing search for standardized scales appropriate for each culture to evaluate professionalism, which is one of the basic competencies of a physician. The Professionalism Mini-evaluation Exercise (P-MEX) instrument measures professionalism that was developed in Canada. This study aimed to adapt P-MEX into Turkish and evaluate the validity and reliability of the Turkish version. Methods A total of 58 resident students at Bakirkoy Dr. Sadi Konuk Training and Research Hospital were assessed with the Turkish version of P-MEX by 24 raters consisting of faculty members, attending physicians, peer residents, and nurses during patient room visits and outpatient clinic and group practices. For construct validity, the confirmatory factor analysis through structural equation modeling was performed. For reliability, a decision study were undertaken, and Cronbach’s alpha scores were calculated. After the administration of P-MEX was completed, the participants were asked to provide feedback on the acceptability, feasibility, and educational impact of the instrument. Results A total of 696 forms were obtained from the administration of P-MEX. The content validity of P-MEX was found to be appropriate by the faculty members. In the confirmatory factor analysis of the original structure of the 24-item Turkish scale, the goodness-of-fit parameters were calculated as follows: CFI = 0.675, TLI = 0.604, and RMSEA = 0.089. In the second stage, the factors on which the items loaded were changed without removing any item, and the model was modified. For the modified model, the CFI, TLI, and RMSEA values were calculated as 0.857, 0.834, and 0.057, respectively. The decision study on the results obtained from the use of P-MEX in a Turkish population revealed the necessity to perform this evaluation 18 times to correctly evaluate professionalism with this instrument. Cronbach’s alpha score was 0.844. All the faculty members provided positive feedback on the acceptability, feasibility, and educational impact of the adapted P-MEX. Conclusion The findings of this study showed that the Turkish version of P-MEX had sufficient validity and reliability in assessing professionalism among resident students. Similarly, the acceptability and feasibility of the instrument were found to be high, and it had a positive impact on education. Trial registration: 2020/249, Bakirkoy Dr. Sadi Konuk Training and Research Hospital
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".