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Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons

Author

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  • David Thissen
  • Lynne Steinberg
  • Daniel Kuang

Abstract

Williams, Jones, and Tukey (1999) showed that a sequential approach to controlling the false discovery rate in multiple comparisons, due to Benjamini and Hochberg (1995), yields much greater power than the widely used Bonferroni technique that limits the familywise Type I error rate. The Benjamini-Hochberg (B-H) procedure has since been adopted for use in reporting results from the National Assessment of Educational Progress (NAEP), as well as in other research applications. This short note illustrates that the B-H procedure is extremely simple to implement using widely available spreadsheet software. Given its easy implementation, it is feasible to include the B-H procedure in introductory instruction in inferential statistics, augmenting or replacing the Bonferroni technique.

Suggested Citation

  • David Thissen & Lynne Steinberg & Daniel Kuang, 2002. "Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons," Journal of Educational and Behavioral Statistics, , vol. 27(1), pages 77-83, March.
    • Handle: RePEc:sae:jedbes:v:27:y:2002:i:1:p:77-83
    DOI: 10.3102/10769986027001077
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    Cited by:

    1. Jeanne A. Teresi & Katja Ocepek-Welikson & John A. Toner & Marjorie Kleinman & Mildred Ramirez & Joseph P. Eimicke & Barry J. Gurland & Albert Siu, 2017. "Methodological Issues in Measuring Subjective Well-Being and Quality-of-Life: Applications to Assessment of Affect in Older, Chronically and Cognitively Impaired, Ethnically Diverse Groups Using the F," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 251-288, June.
    2. Ziying Jiang & Bo Xu, 2014. "Geographically weighted regression analysis of the spatially varying relationship between farming viability and contributing factors in Ohio," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(1), pages 69-83, March.

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