A Study of the Validity of the New MCAT Exam
Bibliographic record
Abstract
PURPOSE: To conduct a study of the validity of the new Medical College Admission Test (MCAT). METHOD: Deidentified data for first- and second-year medical students (185 women, 54.3%; 156 men, 45.7%) who matriculated in 2016 and 2017 to the University of Minnesota Medical School-Twin Cities were included. Of those students, 220 (64.5%) had taken the new MCAT exam and 182 (53.4%) had taken the old MCAT exam (61 [17.9%] had taken both). The authors calculated descriptive statistics and Pearson product moment correlations (r) between new and old MCAT section scores. They conducteda regression analysis of MCAT section scores with Step 1 scores and with preclerkship course performance. They also conducted an exploratory factor analysis (principal component analysis with varimax rotation) of MCAT scores, undergraduate grade point average, Step 1 scores, and course performance. RESULTS: The new MCAT exam section mean score percentiles ranged from 72 to 78 (mean composite score percentile of 80). The old MCAT exam section mean score percentiles ranged from 84 to 88 (mean composite score percentile of 83). The pattern of correlations among and between new and old MCAT exam section scores (range of r: 0.03-0.67; P < .01) provided evidence of both divergent and convergent validities. Backward multiple regression of new MCAT exam section scores and Step 1 scores resulted in a multiple R of .440; the same analysis with Human Behavior course performance as the dependent variable provided a similar solution with the expected sections of the new MCAT exam (multiple R = .502). The factor analysis resulted in 4 cohesive, theoretically meaningful factors: biomedical knowledge, basic science concepts, cognitive reasoning, and general achievement. CONCLUSIONS: This study provided empirical evidence of multiple types of validity for the new MCAT exam.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".