scholarly journals Beyond Grade Point Averages and Medical College Admission Test Scores: A Thematic Analysis of Exceptional Performing Medical Student Applications

MedEdPublish ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Matthew Pflipsen ◽  
Dario Torre ◽  
Steven Durning
2012 ◽  
Vol 102 (6) ◽  
pp. 499-504 ◽  
Author(s):  
Graham P. Shaw ◽  
Evelio Velis ◽  
David Molnar

Background: Most medical school admission committees use cognitive and noncognitive measures to inform their final admission decisions. We evaluated using admission data to predict academic success for podiatric medical students using first-semester grade point average (GPA) and cumulative GPA at graduation as outcome measures. Methods: In this study, we used linear multiple regression to examine the predictive power of an admission screen. A cross-validation technique was used to assess how the results of the regression model would generalize to an independent data set. Results: Undergraduate GPA and Medical College Admission Test score accounted for only 22% of the variance in cumulative GPA at graduation. Undergraduate GPA, Medical College Admission Test score, and a time trend variable accounted for only 24% of the variance in first-semester GPA. Conclusions: Seventy-five percent of the individual variation in cumulative GPA at graduation and first-semester GPA remains unaccounted for by admission screens that rely on only cognitive measures, such as undergraduate GPA and Medical College Admission Test score. A reevaluation of admission screens is warranted, and medical educators should consider broadening the criteria used to select the podiatric physicians of the future. (J Am Podiatr Med Assoc 102(6): 499–504, 2012)


2012 ◽  
Vol 102 (6) ◽  
pp. 471-476
Author(s):  
Sanjay Sesodia ◽  
David Molnar

Background: This study examined the effect of instructional technology availability on the performance of students enrolled in a medical physiology course at a podiatric medical school. Methods: Multiple linear regression analysis was used to predict student overall test performance based on instructional technology, Medical College Admission Test score, undergraduate grade point average, and class absence. Results: The availability of instructional technology was associated with a small decline in mean test performance and a small increase in class absence. Class absence had a negative effect on test performance only when the technology was available. Total Medical College Admission Test score and grade point average were positively correlated with performance. Conclusions: Instructional technology did not enhance absentee student course performance and, indeed, hurt it. Its use as a means of providing access to additional lecture material needs to be reevaluated. (J Am Podiatr Med Assoc 102(6): 471–476, 2012)


2016 ◽  
Vol 7 (1) ◽  
pp. e47-e56 ◽  
Author(s):  
Banibrata Roy ◽  
Kyle Perry ◽  
Ira Ripstein ◽  
Barry Cohen

Background: To determine whether the pre-medical Grade Point Average (GPA), Medical College Admission Test (MCAT), Internal examinations (Block) and National Board of Medical Examiners (NBME) scores are correlated with and predict the Medical Council of Canada Qualifying Examination Part I (MCCQE-1) scores.Methods: Data from 392 admitted students in the graduating classes of 2010-2013 at University of Manitoba (UofM), College of Medicine was considered. Pearson’s correlation to assess the strength of the relationship, multiple linear regression to estimate MCCQE-1 score and stepwise linear regression to investigate the amount of variance were employed.Results: Complete data from 367 (94%) students were studied. The MCCQE-1 had a moderate-to-large positive correlation with NBME scores and Block scores but a low correlation with GPA and MCAT scores. The multiple linear regression model gives a good estimate of the MCCQE-1 (R2 =0.604). Stepwise regression analysis demonstrated that 59.2% of the variation in the MCCQE-1 was accounted for by the NBME, but only 1.9% by the Block exams, and negligible variation came from the GPA and the MCAT.Conclusions: Amongst all the examinations used at UofM, the NBME is most closely correlated with MCCQE-1.


1980 ◽  
Vol 47 (2) ◽  
pp. 411-415 ◽  
Author(s):  
Nathaniel Givner ◽  
Irene Klintberg ◽  
Kevin Hynes

This study was designed to determine whether or not retaking the Medical College Admission Test, a practice commonly engaged in by medical school applicants, results in significant improvement in test scores. A sample of 532 applicants, of which 93 applicants retook the test on two consecutive administrations, was studied. Multivariate analysis of variance indicated that the retake group initially was significantly lower than the non-retake group on all six scales. Although applicants who had retaken the test significantly improved their scores, the magnitude of this improvement was not impressive. Furthermore, scores of the retake group on their second test were still significantly lower than those of the non-retake group on two scales. Although retaking this test may lead to greater similarity between the two groups, retakers remain distinguishable from those who did not retake the test.


2012 ◽  
Vol 102 (6) ◽  
pp. 446-450
Author(s):  
Robert M. Yoho ◽  
Kosta Antonopoulos ◽  
Vassilios Vardaxis

Background: This study was performed to determine the relationship between undergraduate academic performance and total Medical College Admission Test score and academic performance in the podiatric medical program at Des Moines University. The allopathic and osteopathic medical professions have published educational research examining this relationship. To our knowledge, no such educational research has been published for podiatric medical education. Methods: The undergraduate cumulative and science grade point averages and total Medical College Admission Test scores of four podiatric medical classes (2007–2010, N = 169) were compared with their academic performance in the first 2 years of podiatric medical school using pairwise Pearson product moment correlations and multiple regression analysis. Results: Significant low to moderate positive correlations were identified between undergraduate cumulative and science grade point averages and student academic performance in years 1 and 2 of podiatric medical school for each of the four classes (except one) and the pooled data. There was no significant correlation between Medical College Admission Test score and academic performance in years 1 and 2 (except one) and the pooled data. Conclusions: These results identify undergraduate cumulative grade point average as the strongest cognitive admissions variable in predicting academic performance in the podiatric medicine program at Des Moines University, followed by undergraduate science grade point average. These results also suggest limitations of the total Medical College Admission Test score in predicting academic performance. Information from this study can be used in the admissions process and to monitor student progress. (J Am Podiatr Med Assoc 102(6): 446–450, 2012)


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