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Multiplicity control, school uniforms, and other perplexing debates.

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Date

2017

Authors

Cribbie, Robert

Journal Title

Journal ISSN

Volume Title

Publisher

American Psychological Association

Abstract

Researchers in psychology are frequently confronted with the issue of analyzing multiple relationships simultaneously. For example, this could involve multiple outcome variables or multiple predictors in a regression framework. Current recommendations typically steer researchers toward familywise or false discovery rate Type I error control in order to limit the probability of incorrectly rejecting the null hypothesis. Stepwise modified-Bonferroni procedures are suggested for following this recommendation. However, longstanding arguments against multiplicity control, combined with a modern distaste for null hypothesis significance testing, have warranted revisiting this debate. This paper explores both sides of the multiplicity control debate with the goal of educating concerned parties regarding best practices for conducting multiple related tests.

Description

Keywords

multiplicity control, familywise error, Bonferroni, effect size

Citation

Cribbie, R. A. (2017). Multiplicity control, school uniforms, and other perplexing debates. Canadian Journal of Behavioural Science, 49(3), 159-165. doi: 10.1037/cbs0000075