Corrected on Mar 5, 2021.
Source: the publisher, via Crossref · checked Oct 31, 2026 · Read the notice
Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature
Denes Szucs, John P. A. Ioannidis
PLOS Biology · 2017 · CC BY
doi:10.1371/journal.pbio.2000797
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.
References 62
- 1.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 2.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 3.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 4.
- 5.
- 6.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 7.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 8.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 9.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 10.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 11.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 12.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 13.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 14.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 15.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 16.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 17.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 18.
- 19.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 20.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 21.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 22.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 23.
- 24.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 25.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 26.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 27.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 28.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 29.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 30.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 31.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 32.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 33.
- 34.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 35.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 36.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 37.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 38.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 39.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
- 40.
This reference’s wording can’t be shown under the paper’s licence.
Not in our library
Cited by papers we hold 15
- NBS-Predict: A prediction-based extension of the network-based statistic · 2021Not checked
- Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R · 2021No notice
- Diminished large-scale functional brain networks in absolute pitch during the perception of naturalistic music and audiobooks · 2020Not checked
- The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback—A Systematic Review and Recommendations for Best Practice · 2020Corrected
- Open science challenges, benefits and tips in early career and beyond · 2019Corrected
- How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables · 2019No notice
- Estimation for Better Inference in Neuroscience · 2019No notice
- Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology · 2019No notice
- Use of the Journal Impact Factor in academic review, promotion, and tenure evaluations · 2019No notice
- Indices of Effect Existence and Significance in the Bayesian Framework · 2019No notice
- Small sample sizes reduce the replicability of task-based fMRI studies · 2018No notice
- Estimation accuracy in the psychological sciences. · 2018Not checked
- Cognitive task information is transferred between brain regions via resting-state network topology · 2017No notice
- When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment · 2017No notice
- The relation between statistical power and inference in fMRI · 2017No notice
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.