Medical Students?? Clinical Reasoning Skills as a Function of Basic Science Achievement and Clinical Competency Measures: A Structural Equation Model
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to investigate the fit of a hypothesized model of medical students' diagnostic or clinical reasoning skills based on their aptitude for medical school, basic science achievement, and clinical competency measures. METHOD: A total of 589 medical students who received their MD from 1994 to 2002 participated in this study. Confirmatory factor analysis was used to evaluate the fit of theoretical models of clinical reasoning using measures of basic science and clinical knowledge. RESULTS: The results provided support for a three-factor model of medical student performance (Bentler's Comparative Fit Index = .905, standardized root mean squared residual = .054, root mean squared error of approximation = .105). The clinical reasoning skills of medical students were influenced by an independent relationship between latent variables of basic science achievement and clinical competency. CONCLUSION: The findings support a theoretical model of diagnostic or clinical reasoning that treats the basic science and clinical knowledge of medical students as distinct domains.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".