The Predictive Validity of a Two-Step Selection Process to Medical Schools

Author:

Kennet-Cohen Tamar1ORCID,Turvall Elliot1,Saar Yonatan1,Oren Carmel1

Affiliation:

1. National Institute for Testing and Evaluation, P.O.B. 26015, 91260 Jerusalem, Israel

Abstract

Background. A two-step selection process, consisting of cognitive and noncognitive measures, is common in medical school admissions. Objective. To estimate the validity of this process in predicting academic performance, taking into account the complex and pervasive effect of range restriction in this context. Methods. The estimation of the validity of the two-step process included a sequential correction for range restriction and an estimation of the predictive validity of the process in its entirety. Data were collected from 1,002 undergraduate students from four cohorts (2006/07–2009/10) at three medical schools in Israel. Results. The predictive validity of the composite of the cognitive measures with respect to Year 1 performance was high, resulting entirely from the predictive validity of the admission test (a standard measure of ability). The predictive validity of the noncognitive measure was moderate. The predictive validity of the process in its entirety was high, its value dependent on the weights given to the cognitive and noncognitive measures. Conclusion. A cognitive admission test has a high predictive validity with respect to Year 1 performance. The addition of a noncognitive measure in the second step does not markedly diminish the predictive validity of the selection process with respect to academic achievement.

Publisher

Hindawi Limited

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Country-Specific Admissions Practices;Higher Education Admissions Practices;2020-01-30

2. Higher Education Admissions Practices in Israel;Higher Education Admissions Practices;2020-01-30

3. Standard errors and confidence intervals for correlations corrected for indirect range restriction: A simulation study comparing analytic and bootstrap methods;British Journal of Mathematical and Statistical Psychology;2017-06-20

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