The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.
A peculiar prevalence of p values just below .05
Abstract
In null hypothesis significance testing (NHST), p values are judged relative to an arbitrary threshold for significance (.05). The present work examined whether that standard influences the distribution of p values reported in the psychology literature. We examined a large subset of papers from three highly regarded journals. Distributions of p were found to be similar across the different journals. Moreover, p values were much more common immediately below .05 than would be expected based on the number of p values occurring in other ranges. This prevalence of p values just below the arbitrary criterion for significance was observed in all three journals. We discuss potential sources of this pattern, including publication bias and researcher degrees of freedom.
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“Many published studies only barely achieve nominal statistical significance 15 .”
From Power failure: why small sample size undermines the reliability of neuroscience (2013) · cites this paper as [15]
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Metadata
- Authors
- Masicampo, E. J., & Lalande, D. R.
- Affiliations
- Wake Forest University (US)
- Université du Québec à Chicoutimi (CA)
- Corresponding author
- Masicampo, E.J.
- Lalande, Daniel R.
- Venue
- Quarterly Journal of Experimental Psychology
- Publisher
- SAGE Publications
- Published
- 2012-11
- Volume
- 65
- Issue
- 11
- Pages
- 2271-2279
- ISSN
- 0033-555X (ISSN-L)
- 1747-0218
- 1747-0226
- OpenAlex
- W2112039868
- Cited by
- 266
- References
- 32
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 17 · 2023: 18 · 2022: 23 · 2021: 24 · 2020: 24 · 2019: 28 · 2018: 26 · 2017: 23 · 2016: 15 · 2015: 21 · 2014: 22 · 2013: 11 · 2012: 4
- FWCI
- 21.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Quarterly Journal of Experimental Psychology (publishedVersion)
- PubMed (publishedVersion)
- 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
- p-values, null hypothesis significance testing, significance threshold, p-value distribution, publication bias, researcher degrees of freedom, statistical reporting, psychology journals
- MeSH terms
- Humans, Probability, Psychology, Statistics as Topic, Prevalence, Databases, Bibliographic, Publication Bias
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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.
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