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Do MCAT scores predict USMLE scores? An analysis on 5 years of medical student data
Journal article   Open access   Peer reviewed

Do MCAT scores predict USMLE scores? An analysis on 5 years of medical student data

Jacqueline L Gauer, Josephine M Wolff and J Brooks Jackson
Medical education online, Vol.21(1), 31795
2016
DOI: 10.3402/meo.v21.31795
PMCID: PMC5045966
PMID: 27702431
url
https://doi.org/10.3402/meo.v21.31795View
Published (Version of record) Open Access

Abstract

The purpose of this study was to determine the associations and predictive values of Medical College Admission Test (MCAT) component and composite scores prior to 2015 with U.S. Medical Licensure Exam (USMLE) Step 1 and Step 2 Clinical Knowledge (CK) scores, with a focus on whether students scoring low on the MCAT were particularly likely to continue to score low on the USMLE exams. Multiple linear regression, correlation, and chi-square analyses were performed to determine the relationship between MCAT component and composite scores and USMLE Step 1 and Step 2 CK scores from five graduating classes (2011-2015) at the University of Minnesota Medical School ( =1,065). The multiple linear regression analyses were both significant ( <0.001). The three MCAT component scores together explained 17.7% of the variance in Step 1 scores ( 0.001) and 12.0% of the variance in Step 2 CK scores ( <0.001). In the chi-square analyses, significant, albeit weak associations were observed between almost all MCAT component scores and USMLE scores (Cramer's V ranged from 0.05 to 0.24). Each of the MCAT component scores was significantly associated with USMLE Step 1 and Step 2 CK scores, although the effect size was small. Being in the top or bottom scoring range of the MCAT exam was predictive of being in the top or bottom scoring range of the USMLE exams, although the strengths of the associations were weak to moderate. These results indicate that MCAT scores are predictive of student performance on the USMLE exams, but, given the small effect sizes, should be considered as part of the holistic view of the student.
United States Young Adult Licensure, Medical - statistics & numerical data Humans Adolescent Adult Female Linear Models Male College Admission Test - statistics & numerical data Educational Measurement - statistics & numerical data

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