The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
The ironic effect of significant results on the credibility of multiple-study articles.
Abstract
Cohen (1962) pointed out the importance of statistical power for psychology as a science, but statistical power of studies has not increased, while the number of studies in a single article has increased. It has been overlooked that multiple studies with modest power have a high probability of producing nonsignificant results because power decreases as a function of the number of statistical tests that are being conducted (Maxwell, 2004). The discrepancy between the expected number of significant results and the actual number of significant results in multiple-study articles undermines the credibility of the reported results, and it is likely that questionable research practices have contributed to the reporting of too many significant results (Sterling, 1959). The problem of low power in multiple-study articles is illustrated using Bem's (2011) article on extrasensory perception and Gailliot et al.'s (2007) article on glucose and self-regulation. I conclude with several recommendations that can increase the credibility of scientific evidence in psychological journals. One major recommendation is to pay more attention to the power of studies to produce positive results without the help of questionable research practices and to request that authors justify sample sizes with a priori predictions of effect sizes. It is also important to publish replication studies with nonsignificant results if these studies have high power to replicate a published finding.
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“And, clean papers in which the evidence consistently supports the proposed conclusion are more likely to be published than papers with equivocal evidence, exceptions, or other uncertainties 16,17 .”
From Initial evidence of research quality of registered reports compared with the standard publishing model (2021) · cites this paper as [16]
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Why self-control seems (but may not be) limited
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Recommendations for Increasing Replicability in Psychology
Asendorpf, J. B., Conner, M. T., Fruyt, F. D., Houwer, J. D., Denissen, J. J. A., Fiedler, K., Fiedler, S., Funder, D. C., Kliegl, R. M., Nosek, B. A., et al. (2013) · European Journal of Personality · doi:10.1002/per.1919 · Cited by 876
Replicability, Robustness, and Reproducibility in Psychological Science
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Metadata
- Authors
- Schimmack, U.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Schimmack, Ulrich
- ORCID
- Schimmack, Ulrich
- Venue
- Psychological Methods
- Published
- 2012
- Volume
- 17
- Issue
- 4
- Pages
- 551-566
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2164150544
- Cited by
- 455
- References
- 76
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 14 · 2023: 15 · 2022: 24 · 2021: 55 · 2020: 27 · 2019: 56 · 2018: 36 · 2017: 47 · 2016: 42 · 2015: 48 · 2014: 38 · 2013: 29 · 2012: 5
- FWCI
- 43.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Methods (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada
- 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
- statistical power, research credibility, questionable research practices, non-significant results, sample size justification, replication study, extrasensory perception
- MeSH terms
- Humans, Psychology, Research Design, Statistics as Topic, Publication Bias, Sample Size
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