Abstract
To help move researchers away from heuristically dismissing “small” effects as unimportant, recent articles have revisited arguments to defend why seemingly small effect sizes in psychological science matter. One argument is based on the idea that an observed effect size may increase in impact when generalized to a new context because of processes of accumulation over time or application to large populations. However, the field is now in danger of heuristically accepting all effects as potentially important. We aim to encourage researchers to think thoroughly about the various mechanisms that may both amplify and counteract the importance of an observed effect size. Researchers should draw on the multiple amplifying and counteracting mechanisms that are likely to simultaneously apply to the effect when that effect is being generalized to a new and likely more dynamic context. In this way, researchers should aim to transparently provide verifiable lines of reasoning to justify their claims about an effect’s importance or unimportance. This transparency can help move psychological science toward a more rigorous assessment of when psychological findings matter for the contexts that researchers want to generalize to.
| Original language | English |
|---|---|
| Pages (from-to) | 503-507 |
| Number of pages | 5 |
| Journal | Perspectives on Psychological Science |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2023 |
Funding
B. Wiernik is currently an independent researcher and research scientist at Meta, Demography and Survey Science. The current paper was written while he was at the University of South Florida.
| Funders | Funder number |
|---|---|
| University of South Florida | |
| European Union's Horizon 2020 - Research and Innovation Framework Programme | 883785 |
Keywords
- benchmarks
- effect size
- methodology: behavioral
- methodology: scientific
- practical significance
- small effects
- Humans
- Problem Solving
- Dissent and Disputes
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Not All Effects Are Indispensable: Psychological Science Requires Verifiable Lines of Reasoning for Whether an Effect Matters
Anvari, F. (Creator), Kievit, R. (Creator), Lakens, D. (Creator), Pennington, C. R. (Creator), Przybylski, A. K. (Creator), Tiokhin, L. (Creator), Wiernik, B. M. (Creator) & Orben, A. (Creator), SAGE Journals, 23 Aug 2022
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