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

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          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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          Most cited references30

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          A test that fails

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            The Limitations of the GRE in Predicting Success in Biomedical Graduate School

            Historically, admissions committees for biomedical Ph.D. programs have heavily weighed GRE scores when considering applications for admission. The predictive validity of GRE scores on graduate student success is unclear, and there have been no recent investigations specifically on the relationship between general GRE scores and graduate student success in biomedical research. Data from Vanderbilt University Medical School’s biomedical umbrella program were used to test to what extent GRE scores can predict outcomes in graduate school training when controlling for other admissions information. Overall, the GRE did not prove useful in predicating who will graduate with a Ph.D., pass the qualifying exam, have a shorter time to defense, deliver more conference presentations, publish more first author papers, or obtain an individual grant or fellowship. GRE scores were found to be moderate predictors of first semester grades, and weak to moderate predictors of graduate GPA and some elements of a faculty evaluation. These findings suggest admissions committees of biomedical doctoral programs should consider minimizing their reliance on GRE scores to predict the important measures of progress in the program and student productivity.
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              Emotional intelligence predicts success in medical school.

              Accumulating evidence suggests that effective communication and interpersonal sensitivity during interactions between doctors and patients impact therapeutic outcomes. There is an important need to identify predictors of these behaviors, because traditional tests used in medical admissions offer limited predictions of "bedside manners" in medical practice. This study examined whether emotional intelligence would predict the performance of 367 medical students in medical school courses on communication and interpersonal sensitivity. One of the dimensions of emotional intelligence, the ability to regulate emotions, predicted performance in courses on communication and interpersonal sensitivity over the next 3 years of medical school, over and above cognitive ability and conscientiousness. Emotional intelligence did not predict performance on courses on medical subject domains. The results suggest that medical schools may better predict who will communicate effectively and show interpersonal sensitivity if they include measures of emotional intelligence in their admission systems.
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                Author and article information

                Contributors
                tdavies@bu.edu
                Journal
                BMC Med Educ
                BMC Med Educ
                BMC Medical Education
                BioMed Central (London )
                1472-6920
                15 January 2020
                15 January 2020
                2020
                : 20
                : 14
                Affiliations
                [1 ]ISNI 0000 0004 0367 5222, GRID grid.475010.7, Department of Medical Sciences & Education, , Boston University School of Medicine, ; Boston, MA USA
                [2 ]ISNI 0000 0004 0367 5222, GRID grid.475010.7, Graduate Medical Sciences, , Boston University School of Medicine, ; 72 East Concord Street, L317, Boston, MA 02118 USA
                [3 ]ISNI 0000 0004 1936 7558, GRID grid.189504.1, Department of Health Policy and Health Services Research, , Henry M. Goldman Boston University School of Dental Medicine, ; Boston, MA USA
                Author information
                http://orcid.org/0000-0001-6619-2648
                Article
                1930
                10.1186/s12909-020-1930-2
                6961370
                31941519
                99c9fda8-80c3-4b8e-af6e-176f2f5ba62c
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 July 2019
                : 8 January 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Education
                admissions criteria,academic performance,underrepresented groups,pipeline,dental,medical,dat
                Education
                admissions criteria, academic performance, underrepresented groups, pipeline, dental, medical, dat

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