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MCAT 和 GPA 入学前学术指标对面试成绩的影响。

The influence of MCAT and GPA preadmission academic metrics on interview scores.

机构信息

5117 Taubman Health Sciences Library, Office of Medical Student Education, University of Michigan Medical School, Ann Arbor, MI, 48109-5726, USA.

出版信息

Adv Health Sci Educ Theory Pract. 2018 Mar;23(1):151-158. doi: 10.1007/s10459-017-9779-9. Epub 2017 May 13.

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 (β = .573, P < .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.

摘要

医学院招生面试用于评估申请人的非学术特征,这是美国医学院协会推进整体评估倡议所倡导的。本研究的目的是确定在对面试官隐瞒申请人的本科平均绩点(uGPA)和医学院入学考试(MCAT)的情况下,学术指标是否仍然会对整体过程中的面试官评分产生重大影响。本研究考察了密歇根大学医学院两个申请人群体的学术和人口统计学预测因素对面试成绩的影响。在 2012 年,面试官提供了申请人的 uGPA 和 MCAT 成绩;在 2013 年,这些学术指标被从面试官的档案中删除。分层回归分析用于检查学术和人口统计学变量对总体队列面试成绩的影响。当面试官提供 uGPA 和 MCAT 成绩时,学术指标解释了面试成绩变化的更多(7.9%),而当面试官对这些指标失明时,解释的变化更少(4.1%)。进一步的分析显示,队列和 uGPA 之间存在统计学上的显著交互作用,表明 uGPA 与面试成绩之间的关联在 2012 年未被蒙蔽的队列中比在 2013 年被蒙蔽的队列中明显更强(β=0.573,P<.05)。相比之下,MCAT 分数对面试官的分数没有交互作用。虽然 MCAT 分数对两个队列的面试分数都有一定的影响,但只有在考虑交互作用时,uGPA 的访问才会显著影响面试官的分数。从面试官的档案中删除学术指标可能会促进对非学术特征的评估,而无需考虑学术指标。

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