Increasing the Power of Your Study by Increasing the Effect Size

Tom Meyvis, Stijn M J Van Osselaer, Dahl DarrenEditor, Eileen FischerEditor, Gita JoharEditor and Vicki MorwitzEditor

Journal of Consumer Research, 2018, vol. 44, issue 5, 1157-1173

Abstract: 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.

Keywords: experimental design; effect size; statistical power; sample size; ANCOVA; data cleaning (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)

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Persistent link: https://EconPapers.repec.org/RePEc:oup:jconrs:v:44:y:2018:i:5:p:1157-1173.

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Journal of Consumer Research is currently edited by Bernd Schmitt, June Cotte, Markus Giesler, Andrew Stephen and Stacy Wood

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