Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature
- PMID: 28253258
- PMCID: PMC5333800
- DOI: 10.1371/journal.pbio.2000797
Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature
Erratum in
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Correction: Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature.PLoS Biol. 2021 Mar 5;19(3):e3001151. doi: 10.1371/journal.pbio.3001151. eCollection 2021 Mar. PLoS Biol. 2021. PMID: 33667221 Free PMC article.
Abstract
We have empirically assessed the distribution of published effect sizes and estimated power by analyzing 26,841 statistical records from 3,801 cognitive neuroscience and psychology papers published recently. The reported median effect size was D = 0.93 (interquartile range: 0.64-1.46) for nominally statistically significant results and D = 0.24 (0.11-0.42) for nonsignificant results. Median power to detect small, medium, and large effects was 0.12, 0.44, and 0.73, reflecting no improvement through the past half-century. This is so because sample sizes have remained small. Assuming similar true effect sizes in both disciplines, power was lower in cognitive neuroscience than in psychology. Journal impact factors negatively correlated with power. Assuming a realistic range of prior probabilities for null hypotheses, false report probability is likely to exceed 50% for the whole literature. In light of our findings, the recently reported low replication success in psychology is realistic, and worse performance may be expected for cognitive neuroscience.
Conflict of interest statement
The authors have declared that no competing interests exist.
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References
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- Nosek et al. Estimating the reproducibility of psychological science. Science. 2015a; 349, 943. - PubMed
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