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Increasing the Power of Your Study by Increasing the Effect Size

Tom Meyvis¹; Stijn M.J. van Osselaer²

¹ Stern School of Business, New York University, New York, NY 10012 · ² Samuel Curtis Johnson Graduate School of Management, Cornell SC Johnson College of Business, Ithaca, NY 14853

As in other social sciences, published findings in consumer research tend to overestimate the size of the effect being investigated, due to both file drawer effects and abuse of researcher degrees of freedom, including opportunistic analysis decisions. Given that most effect sizes are substantially smaller than would be apparent from published research, there has been a widespread call to increase power by increasing sample size. We propose that, aside from increasing sample size, researchers can also increase power by boosting the effect size. If done correctly, removing participants, using covariates, and optimizing experimental designs, stimuli, and measures can boost effect size without inflating researcher degrees of freedom. In fact, careful planning of studies and analyses to maximize effect size is essential to be able to study many psychologically interesting phenomena when massive sample sizes are not feasible.

DOI

10.1093/jcr/ucx110

Volume

44 (5)

Pages

1157-1173

Language

en

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BibTeX

Sources

crossref openalex