A. Jerant is professor and chair, Department of Family and Community Medicine, University of California, Davis, School of Medicine, Sacramento, California. M.C. Henderson is professor, Division of General Medicine, Department of Internal Medicine, and associate dean, Admissions and Outreach, University of California, Davis, School of Medicine, Sacramento, California. E. Griffin is evaluation specialist, Research and Evaluation Outcomes Unit, University of California, Davis, School of Medicine, Sacramento, California. T.R. Hall is professor, Department of Radiology, and associate dean for admissions, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California. C.J. Kelly is professor, Department of Medicine, and associate dean for admissions and student affairs, University of California, San Diego, School of Medicine, San Diego, California. E.M. Peterson is professor, Department of Pathology and Laboratory Medicine, and associate dean for admissions, University of California, Irvine, School of Medicine, Irvine, California. D. Wofsy is professor, Department of Medicine, and associate dean for admissions, University of California, San Francisco, School of Medicine, San Francisco, California. P. Franks is professor, Department of Family and Community Medicine, University of California, Davis, School of Medicine, Sacramento, California.
Acad Med. 2018 Aug;93(8):1227-1233. doi: 10.1097/ACM.0000000000002223.
In single-school studies, multiple mini-interview (MMI) and traditional interview (TI) scores are associated with acceptance offers. Unexamined is whether scores at one school are associated with acceptance at other schools; such analyses would mitigate single-school design biases and better estimate how well interviews capture desired applicant attributes. Using data from the 5 California Longitudinal Evaluation of Admissions Practices (CA-LEAP) medical schools, the authors examined associations of MMI and TI scores with acceptance offers within and across schools.
The analyses included applicants who interviewed at ≥1 CA-LEAP school during the 2011-2013 admissions cycles. Three CA-LEAP schools employed TIs and 2 employed MMIs. Interview scores were standardized (z scores: mean = 0, SD = 1), and associations with acceptance offers were examined within and across schools in analyses stratified by school, adjusting for applicant sociodemographics, academic metrics, year, and total number of interviews.
Of 4,993 applicants interviewed, 428 (8.6%) interviewed at both MMI schools, 681 (13.6%) at ≥2 TI schools, and 1,327 (26.6%) at ≥1 MMI and ≥1 TI school. For each school, acceptance was associated with interview score at that school and also with interview scores at the other 4 schools. Cross-school associations of MMI versus TI scores with acceptance did not differ statistically.
Interview score at a given school was associated with acceptance at the other 4 schools, with no significant differences in associations for MMIs versus TIs. The findings suggest both MMIs and TIs captured attributes valued by admissions teams across CA-LEAP schools.
在单校研究中，多站迷你面试（MMI）和传统面试（TI）的分数与录取通知书有关。尚未研究的是一所学校的分数是否与其他学校的录取有关；这样的分析可以减轻单校设计的偏差，并更好地估计面试在多大程度上捕捉到了申请人想要的属性。利用来自 5 所加利福尼亚入学实践纵向评估（CA-LEAP）医学院的数据，作者检查了 MMI 和 TI 分数与学校内部和学校之间的录取通知书之间的关联。
分析包括在 2011-2013 年招生周期内在至少 1 所 CA-LEAP 学校接受面试的申请人。有 3 所 CA-LEAP 学校使用 TI，2 所使用 MMI。面试分数进行了标准化（z 分数：平均值= 0，标准差= 1），并在按学校分层的分析中检查了与学校内部和学校之间的录取通知书的关联，同时调整了申请人的社会人口统计学、学术指标、年份和总面试次数。
在接受面试的 4993 名申请人中，有 428 名（8.6%）在 MMI 学校都接受了面试，681 名（13.6%）在至少 2 所 TI 学校接受了面试，1327 名（26.6%）在至少 1 所 MMI 和至少 1 所 TI 学校接受了面试。对于每所学校，录取都与该校的面试分数有关，也与其他 4 所学校的面试分数有关。不同学校的 MMI 与 TI 分数与录取的关联没有统计学差异。
某一学校的面试分数与其他 4 所学校的录取有关，MMI 与 TI 的关联没有显著差异。这些发现表明，MMI 和 TI 都捕捉到了 CA-LEAP 学校招生团队所重视的属性。
