The Influence of MCAT and GPA Preadmission Academic Metrics on Interview Scores

Autor/inn/en	Gay, Steven E.; Santen, Sally A.; Mangrulkar, Rajesh S.; Sisson, Thomas H.; Ross, Paula T.; Zaidi, Nikki L. Bibler
Titel	The Influence of MCAT and GPA Preadmission Academic Metrics on Interview Scores
Quelle	In: Advances in Health Sciences Education, 23 (2018) 1, S.151-158 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Zaidi, Nikki L. Bibler)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1382-4996
DOI	10.1007/s10459-017-9779-9
Schlagwörter	Medical Schools; College Entrance Examinations; Interviews; Grade Point Average; Scores; Holistic Approach; Regression (Statistics); Undergraduate Study; Correlation; College Applicants; Admission Criteria; Michigan; Medical College Admission Test + Suchen Sie Ihr Suchwort? Medizinische Ausbildung; Aufnahmeprüfung; Interviewing; Interviewtechnik; Holistischer Ansatz; Regression; Regressionsanalyse; Grundstudium; Korrelation; College applications; Studienbewerber; Admission; Admission procedures; Zulassungsbedingung; Zulassungsverfahren; Zulassung
Abstract	Medical school admissions interviews are used to assess applicants' nonacademic characteristics as advocated by the Association of American Medical Colleges' Advancing Holistic Review Initiative. The objective of this study is to determine whether academic metrics continue to significantly influence interviewers' scores in holistic processes by blinding interviewers to applicants' undergraduate grade point averages (uGPA) and Medical College Admission Test (MCAT). This study examines academic and demographic predictors of interview scores for two applicant cohorts at the University of Michigan Medical School. In 2012, interviewers were provided applicants' uGPA and MCAT scores; in 2013, these academic metrics were withheld from interviewers' files. Hierarchical regression analysis was conducted to examine the influence of academic and demographic variables on overall cohort interview scores. When interviewers were provided uGPA and MCAT scores, academic metrics explained more variation in interview scores (7.9%) than when interviewers were blinded to these metrics (4.1%). Further analysis showed a statistically significant interaction between cohort and uGPA, indicating that the association between uGPA and interview scores was significantly stronger for the 2012 unblinded cohort compared to the 2013 blinded cohort (ß = 0.573, P < 0.05). By contrast, MCAT scores had no interactive effects on interviewer scores. While MCAT scores accounted for some variation in interview scores for both cohorts, only access to uGPA significantly influenced interviewers' scores when looking at interaction effects. Withholding academic metrics from interviewers' files may promote assessment of nonacademic characteristics independently from academic metrics. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01