The DOI matches its Crossref record.
Publication Decisions and their Possible Effects on Inferences Drawn from Tests of Significance—or Vice Versa
Abstract
There is some evidence that in fields where statistical tests of significance are commonly used, research which yields nonsignificant results is not published. Such research being unknown to other investigators may be repeated independently until eventually by chance a significant result occurs—an “error of the first kind”—and is published. Significant results published in these fields are seldom verified by independent replication. The possibility thus arises that the literature of such a field consists in substantial part of false conclusions resulting from errors of the first kind in statistical tests of significance.
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“Most conclusions in psychology are based on the results of null hypothesis significance testing (NHST; Cumming et al., 2007; Hubbard & Ryan, 2000; Sterling, 1959; Sterling, Rosenbaum, & Weinkam, 1995).”
From The prevalence of statistical reporting errors in psychology (1985–2013) (2016) · cites this paper as Sterling, 1959
In the citing paper
“The bias against negative results appears to be a consequence of both editors and reviewers finding them less compelling for publication and from authors themselves not trying to publish them 8-12”
From Initial evidence of research quality of registered reports compared with the standard publishing model (2021) · cites this paper as [12]
In the citing paper
“Positive results -- finding that a treatment is effective or that there is a relationship between two variables -- are more likely to be published than negative results 6-12 .”
From Initial evidence of research quality of registered reports compared with the standard publishing model (2021) · cites this paper as [12]
In the citing paper
“These causes of overestimation can dramatically increase Type I error rates in the meta-analysis (Sterling, 1959).”
From Do Salient Social Norms Moderate Mortality Salience Effects? A (Challenging) Meta-Analysis of Terror Management Studies (2023) · cites this paper as Sterling, 1959
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Research works printed but not linked: 8
- 1958, Cancer Research 18
- 1957, Publication Manual,
- Edwards A. L., 1950, Experimental Design in Psychological Research
- Lewis D., 1949, Psychological Bulletin, 46, 433, 10.1037/h0059088 · DOI
- Lubin A., 1957, American Psychologist, 8, 519, 10.1037/h0039746 · DOI
- McNemar, 1955, Psychological Statistics,
- Savage L. J., 1954, The Foundations of Statistics
- Walker H. M., 1947, Elementary Statistical Methods
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“Many years ago, Sterling (1959) identified a 97% “ success ” rate across four journals in psychology, meaning that 97% of published articles reported statistically significant support of the central hypotheses.”
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ROLE OF STATISTICS IN THE WORLD OF COMPUTERS *
Sterling, T. D., & Pollack, S. V. (1966) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1965.tb11720.x
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“result, most studies in Psychology that get published report hypotheses that “worked” (Fanelli, 2010; Sterling, 1959; Sterling, Rosenbaum, & Weinkam, 1995).”
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“…published studies in the social sciences are a biased sample of the studies that are actually conducted (Bakan, 1967; McNemar, 1960; Smart, 1966; Sterling, 1959), since journals are filled with the 5% of studies that show type I errors, while approximately 95% of the unpublished studies show…”
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Metadata
- Authors
- Sterling, T. D.
- Affiliations
- University of Cincinnati (US)
- Corresponding author
- Sterling, Theodore D.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1959-03
- Volume
- 54
- Issue
- 285
- Pages
- 30-34
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2062908954
- Cited by
- 964
- References
- 0
- Citations by year
- 2026: 8 · 2025: 17 · 2024: 18 · 2023: 35 · 2022: 46 · 2021: 48 · 2020: 55 · 2019: 46 · 2018: 51 · 2017: 55 · 2016: 34 · 2015: 31 · 2014: 43 · 2013: 32 · 2012: 30
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Statistical Association (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- publication bias, non-significant results, selective publication, significance testing, false positives, replication, research credibility
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