Abstract

The recent field-wide emphasis on power has brought the number of participants used in psychological experiments into focus. Social psychology typically follows a tradition in which many participants perform a small number of trials each; in psychophysics, the tradition is to include only a few participants, who perform many trials each; and the tradition in cognitive psychology falls in between, balancing the number of participants and trials. We ask whether it is better to add trials or to add participants if one wishes to increase power. The answer is straightforward—greatest power is achieved by using more people, and the gain from adding people is greater than the gain from adding trials. In light of these results, the design parameters in the social psychology tradition seem ideal. Yet there are conditions in which one may trade people for trials with only a minor decrement in power. Under these conditions, the limiting factor is the trial-to-trial variability rather than the variability across people in the population. These conditions are highly plausible, and we present a theoretical argument as to why. We think that most cognitive effects are characterized by stochastic dominance; that is, everyone’s true effect is in the same direction. For example, it is plausible that when performing the Stroop task, all people truly identify congruent colors faster than incongruent ones. When dominance holds, small mean effects imply a small degree of variability across the population. It is this degree of homogeneity, the consequence of dominance, that licenses the design parameters of the cognitive psychology and psychophysics traditions.

Highlights

  • The practice of psychological science is going through a period of rapid transition during which methodological concerns are front and center

  • Perhaps more perniciously, the prevalence of underpowered studies as a whole is taken as a signal that the literature is not trustworthy

  • In the social psychology tradition, experiments include a great many participants, often use between-participants groupings, and have a handful of observations per participant. We explore these traditions’ overall power to detect effects in within-participants designs

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Summary

Introduction

The practice of psychological science is going through a period of rapid transition during which methodological concerns are front and center. One long-standing, salient concern is that too many experiments are underpowered (Cohen, 1962; Maxwell, 2004; Szucs & Ioannidis, 2017). There are two consequences of underpowered designs. If a design is underpowered, there is an increased chance of failing to detect an effect. When this failure happens, the interpretation of the results is muddied, as it is unclear if the failure reflects a lack of power or a truly null effect. If one takes power seriously, experiments for typically small effects should have several hundred observations.

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