What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science
Open accessAbstract
A recent study of the replicability of key psychological findings is a major contribution toward understanding the human side of the scientific process. Despite the careful and nuanced analysis reported, the simple narrative disseminated by the mass, social, and scientific media was that in only 36% of the studies were the original results replicated. In the current study, however, we showed that 77% of the replication effect sizes reported were within a 95% prediction interval calculated using the original effect size. Our analysis suggests two critical issues in understanding replication of psychological studies. First, researchers’ intuitive expectations for what a replication should show do not always match with statistical estimates of replication. Second, when the results of original studies are very imprecise, they create wide prediction intervals—and a broad range of replication effects that are consistent with the original estimates. This may lead to effects that replicate successfully, in that replication results are consistent with statistical expectations, but do not provide much information about the size (or existence) of the true effect. In this light, the results of the Reproducibility Project: Psychology can be viewed as statistically consistent with what one might expect when performing a large-scale replication experiment.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
How reproducibility ought to be measured is the subject of a growing methodological and philosophical debate.
“Second, and more importantly, because how reproducibility ought to be measured is the subject of a growing methodological and philosophical debate”
From Is science really facing a reproducibility crisis, and do we need it to? (2018) · cites this paper as [26]
Reanalyses of the data suggest that reproducibility in psychological science might be higher than originally claimed.
“reanalyses of the data suggest that reproducibility in psychological science might be higher than originally claimed (23, 26, 27).”
From Is science really facing a reproducibility crisis, and do we need it to? (2018) · cites this paper as [26]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 24 · Cited by 243
- Authors
- Patil, P., Peng, R. D., & Leek, J. T.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Leek, Jeffrey T.
- Venue
- Perspectives on Psychological Science
- Publisher
- SAGE Publications
- Published
- 2016-07
- Volume
- 11
- Issue
- 4
- Pages
- 539-544
- ISSN
- 1745-6916 (ISSN-L)
- 1745-6924
- PMC
- PMC4968573
- OpenAlex
- W2486097122
- Cited by
- 243
- References
- 24
- Citations by year
- 2026: 6 · 2025: 17 · 2024: 28 · 2023: 15 · 2022: 30 · 2021: 26 · 2020: 53 · 2019: 25 · 2018: 19 · 2017: 18 · 2016: 6
- FWCI
- 21.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Perspectives on Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (R01GM115440)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- replication, replicability, prediction intervals, effect size, Reproducibility Project: Psychology, statistical power
- MeSH terms
- Data Interpretation, Statistical, Humans, Psychology, Reproducibility of Results, Behavioral Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review