Understanding the Personality Traits of Medical Students Using the Five Factor Model
Bibliographic record
Abstract
Performance of both medical students and doctors is influenced by certain personality characteristics. It is therefore important to choose students with the right personality besides excellent performance academically for medical schools. The main objective of this study was therefore to ascertain the personality of students studying medicine based on gender and year of study. Participants for this study were 1029 medical students in seven universities in Peninsular Malaysia. They were selected by stratified random sampling. NEO personality Inventory-Revised was used to measure personality. Results showed that the medical students differ significantly in openness, agreeableness and conscientiousness based on gender. Female students scored higher on conscientiousness than male students. Apart from that the fifth year students scored highest on conscientiousness and lowest on neuroticism compared to those in the lower year of study. The implication of this study indicated that places in medical study program should be given to students with the right personality besides having excellent academic results.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".