Predicting professional school performance with a unique lens: are there other cognitive predictors?

Abstract Background We investigated the associations between admissions criteria and performance in four cohorts of pre-dental MS in Oral Health Sciences (OHS) program at Boston University Schools of Medicine and Dental Medicine. Previously we have reported that OHS serves as a successful pre-dental...

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Main Authors: Theresa A. Davies, Madeline B. Miller, Vincent A. Moore, Elizabeth A. Kaye
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Medical Education
Subjects:
Online Access:https://doi.org/10.1186/s12909-020-1930-2
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author Theresa A. Davies
Madeline B. Miller
Vincent A. Moore
Elizabeth A. Kaye
author_facet Theresa A. Davies
Madeline B. Miller
Vincent A. Moore
Elizabeth A. Kaye
author_sort Theresa A. Davies
collection DOAJ
description Abstract Background We investigated the associations between admissions criteria and performance in four cohorts of pre-dental MS in Oral Health Sciences (OHS) program at Boston University Schools of Medicine and Dental Medicine. Previously we have reported that OHS serves as a successful pre-dental pipeline program for students from underrepresented groups. Methods We evaluated academic variables that further affect overall graduate GPA and grades in the first year dental school courses taken by OHS students at Boston University between 2012 and 2016 as part of the MS curriculum. Demographic data, region of residency, undergraduate grade point average, number of science and math credits, major of study, dental admissions test scores and undergraduate institution were collected. The competitiveness of the undergraduate institution was scored based on Barron’s Profiles of American Colleges. OHS-GPA was assessed and individual grades in two first year dental school courses taken as part of the OHS curriculum were collected. Analysis of variance, the Chi-square test and Fisher’s Exact test were utilized to assess associations between academic performance parameters, successful program completion and matriculation to dental school. Results Results indicate that undergraduate major, age and number of science course credits taken had no impact on MS performance in the Boston University MS in Oral Health Sciences program; however, students who took an undergraduate course in Physiology performed better than those who did not (p = 0.034). This was not the case with courses in Cell Biology and Biochemistry. Students with DAT scores over 20 academic average (p = 0.001), 18 total science average (p = 0.001) and 22 reading comprehension (p = 0.004) performed better in dental school courses taken in OHS. Conclusion We report that strong test scores, attending a mid or highly rigorous undergraduate institution and completion of an undergraduate Physiology course are positive predictors. We hope these findings will guide admission’s decisions and improve recruitment to, and future success of, graduate student’s pursuit of professional school. Understanding alternative predictors of success may help to reduce the intrinsic bias among applicants from underrepresented groups and continue to look beyond the DATs (or MCATs) to decrease the gap between professionals from underrepresented groups and those they serve.
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spelling doaj.art-e0bc6951c97440b4a756445a260869392022-12-21T21:28:41ZengBMCBMC Medical Education1472-69202020-01-0120111010.1186/s12909-020-1930-2Predicting professional school performance with a unique lens: are there other cognitive predictors?Theresa A. Davies0Madeline B. Miller1Vincent A. Moore2Elizabeth A. Kaye3Department of Medical Sciences & Education, Boston University School of MedicineGraduate Medical Sciences, Boston University School of MedicineDepartment of Medical Sciences & Education, Boston University School of MedicineDepartment of Health Policy and Health Services Research, Henry M. Goldman Boston University School of Dental MedicineAbstract Background We investigated the associations between admissions criteria and performance in four cohorts of pre-dental MS in Oral Health Sciences (OHS) program at Boston University Schools of Medicine and Dental Medicine. Previously we have reported that OHS serves as a successful pre-dental pipeline program for students from underrepresented groups. Methods We evaluated academic variables that further affect overall graduate GPA and grades in the first year dental school courses taken by OHS students at Boston University between 2012 and 2016 as part of the MS curriculum. Demographic data, region of residency, undergraduate grade point average, number of science and math credits, major of study, dental admissions test scores and undergraduate institution were collected. The competitiveness of the undergraduate institution was scored based on Barron’s Profiles of American Colleges. OHS-GPA was assessed and individual grades in two first year dental school courses taken as part of the OHS curriculum were collected. Analysis of variance, the Chi-square test and Fisher’s Exact test were utilized to assess associations between academic performance parameters, successful program completion and matriculation to dental school. Results Results indicate that undergraduate major, age and number of science course credits taken had no impact on MS performance in the Boston University MS in Oral Health Sciences program; however, students who took an undergraduate course in Physiology performed better than those who did not (p = 0.034). This was not the case with courses in Cell Biology and Biochemistry. Students with DAT scores over 20 academic average (p = 0.001), 18 total science average (p = 0.001) and 22 reading comprehension (p = 0.004) performed better in dental school courses taken in OHS. Conclusion We report that strong test scores, attending a mid or highly rigorous undergraduate institution and completion of an undergraduate Physiology course are positive predictors. We hope these findings will guide admission’s decisions and improve recruitment to, and future success of, graduate student’s pursuit of professional school. Understanding alternative predictors of success may help to reduce the intrinsic bias among applicants from underrepresented groups and continue to look beyond the DATs (or MCATs) to decrease the gap between professionals from underrepresented groups and those they serve.https://doi.org/10.1186/s12909-020-1930-2Admissions criteriaAcademic performanceUnderrepresented groupsPipelineDentalMedical
spellingShingle Theresa A. Davies
Madeline B. Miller
Vincent A. Moore
Elizabeth A. Kaye
Predicting professional school performance with a unique lens: are there other cognitive predictors?
BMC Medical Education
Admissions criteria
Academic performance
Underrepresented groups
Pipeline
Dental
Medical
title Predicting professional school performance with a unique lens: are there other cognitive predictors?
title_full Predicting professional school performance with a unique lens: are there other cognitive predictors?
title_fullStr Predicting professional school performance with a unique lens: are there other cognitive predictors?
title_full_unstemmed Predicting professional school performance with a unique lens: are there other cognitive predictors?
title_short Predicting professional school performance with a unique lens: are there other cognitive predictors?
title_sort predicting professional school performance with a unique lens are there other cognitive predictors
topic Admissions criteria
Academic performance
Underrepresented groups
Pipeline
Dental
Medical
url https://doi.org/10.1186/s12909-020-1930-2
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