Abstract
In the January 2022 issue of Perspectives, Götz et al. argued that small effects are “the indispensable foundation for a cumulative psychological science.” They supported their argument by claiming that (a) psychology, like genetics, consists of complex phenomena explained by additive small effects; (b) psychological-research culture rewards large effects, which means small effects are being ignored; and (c) small effects become meaningful at scale and over time. We rebut these claims with three objections: First, the analogy between genetics and psychology is misleading; second, p values are the main currency for publication in psychology, meaning that any biases in the literature are (currently) caused by pressure to publish statistically significant results and not large effects; and third, claims regarding small effects as important and consequential must be supported by empirical evidence or, at least, a falsifiable line of reasoning. If accepted uncritically, we believe the arguments of Götz et al. could be used as a blanket justification for the importance of any and all “small” effects, thereby undermining best practices in effect-size interpretation. We end with guidance on evaluating effect sizes in relative, not absolute, terms.
| Original language | English |
|---|---|
| Pages (from-to) | 508-512 |
| Number of pages | 5 |
| Journal | Perspectives on Psychological Science |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2023 |
Bibliographical note
Publisher Copyright:© The Author(s) 2022.
Funding
We thank Stuart J. Ritchie, Jonathan Coleman, and Freek Oude Maatman for their comments on earlier drafts of this article.
Keywords
- benchmarks
- effect sizes
- practical significance
- small effects
- statistical inference
- Humans
- Reward