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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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]
Citations
Cites
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.1149 · Cited by 37,615
The weirdest people in the world?
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Measuring individual differences in implicit cognition: the implicit association test
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.6.1464 · Cited by 9,210
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567
GPOWER: A general power analysis program
Erdfelder, E., Faul, F., & Buchner, A. (1996) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03203630 · Cited by 4,864
Required sample size to detect the mediated effect
Fritz, M. S., & MacKinnon, D. P. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01882.x · Cited by 4,810
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702 · cited 5×
“Achieve 80% Power to Produce Significant Results in All”
BackgroundResultInfluential
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–454 of 454
Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.018
Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.002
Assessment: Types of Measures and Their Use
Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.012
Experimental Research Using Group Designs
Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.006
Ethical Issues and Guidelines for Research
Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.017
Communication of Research Findings
Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.019
Rizzo, M. J., & Whitman, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810.002
Rizzo, M. J., & Whitman, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810.003
Rizzo, M. J., & Whitman, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810.001
Rizzo, M. J., & Whitman, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810.005
(2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810.012
Chapter 1: Key Methodological Issues in Researching Gifted Education and Advanced AcademicsPreprint
McBee, M. T. (2022) · EdArXiv (OSF Preprints) · doi:10.35542/osf.io/mfdr2
The Natural Selection of Bad Psychological ScientistsPreprint
Aarts, A. A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4176925
Heine, A. (2022) · Psychologie in Bildung und Erziehung: vom Wissen zum Handeln · doi:10.1007/978-3-658-36260-7_5
Rizzo, M. J., & Whitman, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810.013
Psychology and open science in Africa: Why is it needed and how can we implement it?Preprint
Azouaghe, S., Adetula, A., Forscher, P. S., Basnight-Brown, D. M., Ouherrou, N., Charyate, A. C. A., & IJzerman, H. (2020) · AfricArXiv (OSF Preprints) · doi:10.31730/osf.io/ke7ub
Addressing selective reporting of experiments – the case for predefined exclusion criteriaPreprint
Neves, K., & Amaral, O. B. (2019) · MetArXiv (OSF Preprints) · doi:10.31222/osf.io/a8gu5
Warne, R. T. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108894319.011
Decision letter for "That's a Lot to Process! Pitfalls of Popular Path Models"
(2022) · Publons reviews and discussion · doi:10.1177/25152459221095827/v2/decision1
Decision letter for "That's a Lot to Process! Pitfalls of Popular Path Models"
(2022) · Publons reviews and discussion · doi:10.1177/25152459221095827/v3/decision1
Author response for "That's a Lot to Process! Pitfalls of Popular Path Models"
Rohrer, J. M., Hünermund, P., Arslan, R. C., & Elson, M. (2022) · Publons reviews and discussion · doi:10.1177/25152459221095827/v2/response1
Author response for "That's a Lot to Process! Pitfalls of Popular Path Models"
Rohrer, J. M., Hünermund, P., Arslan, R. C., & Elson, M. (2022) · Publons reviews and discussion · doi:10.1177/25152459221095827/v3/response1
Decision letter for "That's a Lot to Process! Pitfalls of Popular Path Models"
(2021) · Publons reviews and discussion · doi:10.1177/25152459221095827/v1/decision1
Review for "That's a Lot to Process! Pitfalls of Popular Path Models"
(2021) · Publons reviews and discussion · doi:10.1177/25152459221095827/v1/review3
Review for "That's a Lot to Process! Pitfalls of Popular Path Models"
(2021) · Publons reviews and discussion · doi:10.1177/25152459221095827/v1/review2
Review for "That's a Lot to Process! Pitfalls of Popular Path Models"
(2021) · Publons reviews and discussion · doi:10.1177/25152459221095827/v1/review1
Lau, E. H., Rattan, A., Romero‐Canyas, R., & Savani, K. (2022) · Journal of Cross-Cultural Psychology · doi:10.1177/00220221221110465
Aarts, A. A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4176916
Takács, E. (2019) · Eötvös Loránd Tudományegyetem · doi:10.15476/elte.2019.193
Lomotey, B. A., Csajbok-Twerefou, I., Husein, A. A.-R., & Diabah, G. (2023) · System · doi:10.1016/j.system.2023.103110 · Cited by 2
Schlaf und soziales Verhalten in Organisationen: Auswirkungen auf die Arbeitsleistung
Rogers, A. P., Budnick, C. J., & Barber, L. K. (2024) · Springer eBooks · doi:10.1007/978-3-031-49766-7_10
Why psychopathy might be present and prosperous in present-day psychological sciencePreprint
Aarts, A. A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5166553
Fechner, H. L., Reinhard†, M.-A., Ende, L., & Reinhardt, N. (2025) · Society and Animals · doi:10.1163/15685306-bja10250
Manson, G. A. (2019) · theses.fr (ABES) · doi:10.70675/c687d012z77fdz445fza65dz0c9ad974b970
Corbelli, G. (2026) · Educational and Psychological Measurement · doi:10.1177/00131644261442141
Psychology’s RenaissancePreprint
Simonsohn, U., Nelson, L. D., & Simmons, J. P. (2022) · OSF Preprints (OSF Preprints)
The effect of gender stereotypes on young girls' intuitive number sensePreprint
Schmader, T., Odic, D., Baron, A. S., Block, K., & Gonzalez, A. M. (2021) · OSF Preprints (OSF Preprints)
A response to Pek et al.’s commentary on Z-curve: clarifying the assumptions of selection models
Schimmack, U., & Soto, M. (2026) · Cognition & Emotion · doi:10.1080/02699931.2026.2678998 · Cited by 2
Self-citationStudy preregistration: an early example and analysis
Wiseman, R. J., & Watt, C. A. (2026) · PeerJ · doi:10.7717/peerj.21360 · Cited by 1
Class, B., Bourguet, D., & Guillemaud, T. (2026) · Insights the UKSG journal · doi:10.1629/uksg.744 · Cited by 2
975 Statistical power and power analysis in quantitative communication science
Sun, Y., & Qian, S. (2026) · De Gruyter eBooks · doi:10.1515/9783111087139-005
The Unresolved Puzzle of Psychological Theories
de Boeck, P. A. L., Pek, J. C. X., Andersen, B. L., & Turner, B. M. (2026) · Springer eBooks · doi:10.1007/978-3-032-01453-5_7
Syarifah, T., & Aprida, C. A. (2026) · Priviet Social Sciences Journal · doi:10.55942/pssj.v6i10.2328
Quasi-Revolution in Psychology and Reproducibility of Extraordinary Results
Akopyan, A. (2013) · Undergraduate research journal for the human sciences
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
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