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Veloski, J.J., Callahan, C.A., Xu, G., Hojat, M., & Nash, D.B.
(2000). Prediction of Students' Performances on Licensing Examinations
Using Age, Race, Sex, Undergraduate GPA, and MCAT Scores. Academic
Medicine, 75, S28-S30.
PURPOSE: We designed the present study to evaluate simultaneously
the relative importances of MCAT scores, undergraduate GPAs, age,
race, and sex in predicting performances on the three-step sequence
of preclinical, clinical, and postgraduate licensing examinations.
METHOD: The sample consisted of 6,239 matriculants who entered
Jefferson Medical College during the 30 years between 1968 and 1997,
inclusive. The dependent variables were total scores on Parts, I,
II, and III of the licensing examinations of the NBME and total
scores on Steps 1, 2, and 3 of the USMLE (the latter three examinations
replaced the former three several years ago). A separate multivariate
linear regression model was generated for each of the six dependent
variables. The independent variables were sex, age, race/ethnicity,
undergraduate GPAs and MCAT scores. Sex was coded 0 for men and
1 for women, who were 26% of the entire cohort. Students who were
more than 23 years old at the time of matriculation (also 26% of
the cohort) were coded 1 and others were coded 0. Racial-ethnic
backgrounds, as defined by the Association of American Medical Colleges,
consisted of Asian, Oriental, or Pacific Islander groups; Hispanic
(not white); black; and white. Students in each of the first three
race categories were coded as 1. The percentages for Asian American,
Hispanic, and black were 8.2%, 1.4%, and 2.8%, respectively. The
other students, who included 85.9% white and 1.7% in other racial
groups with very small sample sizes, were not coded separately.
RESULTS: The contribution of the MCAT science score in predicting
scores on the preclinical examination was more important than that
of the science GPA. Being an older, nontraditional student at matriculation
was unrelated to all scores after controlling for the other independent
variables. The regression coefficients for women were negative for
the NBME Part I, but insignificant for Step 1. However, being a
woman was positively associated with the scores on USMLE Steps 2
and 3. Although being black was negatively associated with performances
on Parts II and III, and being Hispanic negatively associated with
performance on Part III, these patterns disappeared in the more
recent USMLE examinations. Overall, the only consistent pattern
related to age, race, or sex across all examinations was the negative
regression weight for Asian American Students.
CONCLUSION: As expected from many earlier studies, MCAT
scores were consistently more valuable that were undergraduate GPAs
as predictors of performance on licensing examinations, supporting
their continued use in selection decisions. These relationships
are stable across three decades and apply to the three examinations.
Verbal scores tended to be better indicators of performances in
the clinical and postgraduate tests. There was no independent effect
for older, nontraditional students after controlling for their undergraduate
academic performances and MCAT scores.
In this present study, statistical control of the baseline differences
at matriculation using regression analysis showed that underrepresented-minority
students compared with white students performed less well than would
have been predicted on the NBME in the earlier time period. However,
this pattern disappeared in the recent time period. This change
over time may have been due to the effectiveness of academic enrichment
programs.
The most striking finding this the large negative value of the
b-coefficients as well as the beta-coefficients for Asian American
students. This indicates that, after controlling statistically for
science and verbal MCAT scores and undergraduate GPAs, these students
performed less well compared with white students. The findings of
this present study indicate that Asian American students' performances
fell below expectations on all NBME and USMLE examinations, after
controlling for these prematriculation measures.
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