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The GRE over the entire range of scores lacks predictive ability for PhD outcomes in the biomedical sciences

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  • Linda Sealy
  • Christina Saunders
  • Jeffrey Blume
  • Roger Chalkley

Abstract

The association between GRE scores and academic success in graduate programs is currently of national interest. GRE scores are often assumed to be predictive of student success in graduate school. However, we found no such association in admission data from Vanderbilt’s Initiative for Maximizing Student Diversity (IMSD), which recruited historically underrepresented students for graduate study in the biomedical sciences at Vanderbilt University spanning a wide range of GRE scores. This study avoids the typical biases of most GRE investigations of performance where primarily high-achievers on the GRE were admitted. GRE scores, while collected at admission, were not used or consulted for admission decisions and comprise the full range of percentiles, from 1% to 91%. We report on the 32 students recruited to the Vanderbilt IMSD from 2007–2011, of which 28 completed the PhD to date. While the data set is not large, the predictive trends between GRE and long-term graduate outcomes (publications, first author publications, time to degree, predoctoral fellowship awards, and faculty evaluations) are remarkably null and there is sufficient precision to rule out even mild relationships between GRE and these outcomes. Career outcomes are encouraging; many students are in postdocs, and the rest are in regular stage-appropriate career environments for such a cohort, including tenure track faculty, biotech and entrepreneurship careers.

Suggested Citation

  • Linda Sealy & Christina Saunders & Jeffrey Blume & Roger Chalkley, 2019. "The GRE over the entire range of scores lacks predictive ability for PhD outcomes in the biomedical sciences," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
    • Handle: RePEc:plo:pone00:0201634
    DOI: 10.1371/journal.pone.0201634
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    References listed on IDEAS

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    1. Casey Miller & Keivan Stassun, 2014. "A test that fails," Nature, Nature, vol. 510(7504), pages 303-304, June.
    2. Liane Moneta-Koehler & Abigail M Brown & Kimberly A Petrie & Brent J Evans & Roger Chalkley, 2017. "The Limitations of the GRE in Predicting Success in Biomedical Graduate School," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-17, January.
    3. David Asai, 2019. "To learn inclusion skills, make it personal," Nature, Nature, vol. 565(7741), pages 537-537, January.
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