A meta-analysis of the predictive validity of the Graduate Management Admission Test (GMAT) and Undergraduate Grade Point Average (UGPA) for graduate student academic performance

Nathan R. Kuncel; Marcus Credé; Lisa L. Thomas

doi:10.5465/AMLE.2007.24401702

A meta-analysis of the predictive validity of the Graduate Management Admission Test (GMAT) and Undergraduate Grade Point Average (UGPA) for graduate student academic performance

Nathan R. Kuncel, Marcus Credé, Lisa L. Thomas

Psychology (Twin Cities)

Research output: Contribution to journal › Article › peer-review

86 Scopus citations

Abstract

Considerable debate both within and outside of academic circles surrounds the validity of standardized tests for predicting student performance in graduate business schools. This meta-analysis aggregates the existing literature on the validity of the two most heavily used predictors in business school admissions: the GMAT and undergraduate grade point average. Results based on over 402 independent samples across 64,583 students indicate that the GMAT is a superior predictor to UGPA and that the two combined yield a high level of validity for predicting student performance. Copyright of the Academy of Management, all rights reserved.

Original language	English (US)
Pages (from-to)	51-68
Number of pages	18
Journal	Academy of Management Learning and Education
Volume	6
Issue number	1
DOIs	https://doi.org/10.5465/AMLE.2007.24401702
State	Published - Mar 2007

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A meta-analysis of the predictive validity of the Graduate Management Admission Test (GMAT) and Undergraduate Grade Point Average (UGPA) for graduate student academic performance. / Kuncel, Nathan R.; Credé, Marcus; Thomas, Lisa L.
In: Academy of Management Learning and Education, Vol. 6, No. 1, 03.2007, p. 51-68.

Research output: Contribution to journal › Article › peer-review

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A meta-analysis of the predictive validity of the Graduate Management Admission Test (GMAT) and Undergraduate Grade Point Average (UGPA) for graduate student academic performance

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