The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Consequences of prejudice against the null hypothesis.
Abstract
The consequences of prejudice against accepting the null hypothesis were examined through (a) a mathematical model intended to stimulate the research-publication process and (b) case studies of apparent erroneous rejec-tions of the null hypothesis in published psychological research. The input parameters for the model characterize investigators ' probabilities of selecting a problem for which the null hypothesis is true, of reporting, following up on, or abandoning research when data do or do not reject the null hypothesis, and they characterize editors ' probabilities of publishing manuscripts concluding in favor of or against the null hypothesis. With estimates of the input parameters based on a questionnaire survey of a sample of social psychologists, the model output indicates a dysfunctional research-publication system. Particularly, the model indicates that there may be relatively few publications on problems for which the null hypothesis is (at least to a reasonable approximation) true, and of these, a high proportion will erroneously reject the null hypothesis. The case studies provide additional support for this conclusion. Accordingly, it is
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“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 [11]
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 [11]
In the citing paper
“Theoretical analyses point to a system of incentives that prioritizes innovation over verification, leading to infrequent efforts to replicate findings and to behaviors that could reduce the replicability of published findings such as selective reporting, presenting exploratory findings as confirmatory tests, and failures of documentation, transparency, and sharing”
From Investigating the replicability of preclinical cancer biology (2021) · cites this paper as Greenwald, 1975
In the citing paper
“Research that produces novel results, statistically significant results (that is, typically p < 0.05) and seemingly 'clean' results is more likely to be published 2,3 .”
From Power failure: why small sample size undermines the reliability of neuroscience (2013) · cites this paper as [3]
In the citing paper
“An important qualification about this result is the possibility that the original studies have inflated effect sizes due to publication, selection, reporting, or other biases ( 9, 1223 ).”
From Estimating the reproducibility of psychological science (2015) · cites this paper as [16]
In the citing paper
“Potentially problematic practices include selective reporting, selective analysis, and insufficient specification of the conditions necessary or sufficient to obtain the results ( 1223 ).”
From Estimating the reproducibility of psychological science (2015) · cites this paper as [16]
In the citing paper
“There is good evidence that low power of research designs combined with publication bias favoring positive results over negative results produces a literature with upwardly biased effect sizes ( 14, 16, 30, 31 ).”
From Estimating the reproducibility of psychological science (2015) · cites this paper as [16]
In the citing paper
“Concerns about reproducibility are widespread across disciplines ( 921 ).”
From Estimating the reproducibility of psychological science (2015) · cites this paper as [16]
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InfluentialThe Existence of Publication Bias and Risk Factors for Its Occurrence
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ResultShall we Really do it Again? The Powerful Concept of Replication is Neglected in the Social Sciences
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“A further difficulty when trying to document the generality of a phenomenon is the likelihood that negative results have more often gone unreported than have rejections of the null hypothesis (Greenwald, 1975).”
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Many Labs 2: Investigating variation in replicability across samples and settings
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“Consider the context, in which positive results are perceived as more publishable than negative results (Greenwald, 1975) and common analytic practices may inadvertently increase the likelihood of obtaining false positives (Simmons et al., 2011).”
BackgroundInfluentialIs psychology suffering from a replication crisis? What does “failure to replicate” really mean?
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“…than zero, and concluding that it is (basically) zero if we obtain a result that is statistically significantly smaller than that small effect (see, e.g., Cohen, 1988, pp. 16–17; Greenwald, 1975, pp. 16–19; Hodges & Lehmann, 1954; Kraemer, 1983; Rindskopf, 1997; Serlin & Lapsley, 1985, 1993).”
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“For instance, Greenwald (1975) found that about half of researchers who produced a rejection of the null hypothesis would submit a report for publication, while only 6 percent who failed to reject the null hypothesis would attempt to publish.”
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“The replacement or complementation of NHST with the use of likelihood ratios and the estimation of posterior probabilities by application of Bayes's rule has been proposed by many writers (Edwards, 1965; Edwards et al., 1963; Gelman, Carlin, Stern, & Rubin, 1995; I. J. Good, 1981; Greenwald, 1975; Lindley, 1984; Rinds…”
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“Because effect sizes in the published literature are likely to be overestimates of the true effect size (Greenwald, 1975), researchers should err conservatively, toward higher levels of power.”
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“In addition to publication bias at the journal level, publication bias also likely occurs at the individual scholar level, insofar as scholars decline to submit null results for publication either because such results conflict with beloved theoretical models in which they are invested or simply because they believe nu…”
BackgroundAn Open, Large-Scale, Collaborative Effort to Estimate the Reproducibility of Psychological Science
Nosek, B. A., & Lakens, D. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612462588 · Cited by 592
“A high reproducibility estimate might boost confidence in conventional research and peerreview practices in the face of criticisms about inappropriate flexibility in design, analysis, and reporting that can inflate the rate of false positives (Greenwald, 1975; John, Loewenstein, & Prelec, 2012; Simmons, Nelson, & Simo…”
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Publication bias—a problem in interpreting medical data
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“This graph of sample size versus effectsize should be symmetrical in the absence of bias, but will tend to be skewed in its presence (Light and Pillemer (1984); see Figs 1 and 2 and further discussion in Section 5.”
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Meta-analysis of comparative therapy outcome studies: a replication and refinement.
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“For example, if researchers strongly believe that an effect is real and positive, statistically non-significant or negative estimates of that effect may never be submitted for publication or may be rejected by reviewers and editors (Greenwald, 1975; Sterling, Rosenbaum, & Weinkam, 1995; Rothstein et al., 2006; Ferguso…”
BackgroundLocus of control and academic achievement: A literature review.
Findley, M. J., & Cooper, H. M. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.44.2.419 · Cited by 568
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“On a more general level we hope that we have made a case for considering the magnitude of effects in 2D:4D research; merely focusing on the statistical significance of effects may stall progress in 2D:4D research and in other areas [e.g., (Cohen, 1994; Greenwald, 1975; Hunter, 1997; Meehl, 1978)].”
BackgroundSample Size Planning for Statistical Power and Accuracy in Parameter Estimation
Maxwell, S. E., Kelley, K., & Rausch, J. R. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093735 · Cited by 542
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“, nonsignificant results are filed and not even submitted for publication) and would perish (Greenwald, 1975; Rosenthal, 1979).”
BackgroundUnder what conditions does theory obstruct research progress?
Greenwald, A. G., Pratkanis, A. R., Leippe, M. R., & Baumgardner, M. H. (1986) · Psychological Review · doi:10.1037/0033-295x.93.2.216 · Cited by 574
“…of research, greater rewards of research support, career advancement, and public recognition tend to fall to the researcher who investigates and confirms a new prediction than to the one who pursues a more familiar idea (see discussions by Armstrong, 1982; Fishman & Neigher, 1982; Greenwald, 1975).”
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MethodResultSocial facilitation: A meta-analysis of 241 studies.
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“…and failure to publish studies with inadequate sample sizes (Newcombe, 1987), development of a more positive attitude toward nonsignificant results (Greenwald, 1975; Rennie & Flanagin, 1992), and improvement of the peer-review and publication processes (Higginson, 1987; Iyengar & Greenhouse, 1988;…”
BackgroundInfluentialDetecting and avoiding likely false‐positive findings – a practical guide
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Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention
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“Computing the proportional agreement scale values as the average of the respective item values is consistent with how the James et al. (1984) r wg(J) indices are computed.”
MethodResultInfluentialThe actor-observer asymmetry in attribution: A (surprising) meta-analysis.
Malle, B. F. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.6.895 · Cited by 453
“It is commonly assumed that studies that contradict an established hypothesis or support it only weakly and without significance are less likely to be published than studies that support the established hypothesis (Begg & Berlin, 1988; Coursol & Wagner, 1986; Greenwald, 1975; Hedges, 1984).”
ResultDevelopment of self-esteem from age 4 to 94 years: A meta-analysis of longitudinal studies.
Orth, U., Erol, R. Y., & Luciano, E. C. (2018) · Psychological Bulletin · doi:10.1037/bul0000161 · Cited by 438
The alleged crisis and the illusion of exact replication
Stroebe, W., & Strack, F. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691613514450 · Cited by 597
Kühberger, A., Fritz, A., & Scherndl, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105825 · Cited by 399
“Publication bias can occur at any stage of the publication process where a decision is made [18,19]: in the researcher’s decision to write up a manuscript [20]; in the decision to submit the manuscript to a journal [21,22]); in the decision of journal editors to send a paper out for review [23]; in the reviewer’s reco…”
BackgroundA general linear model for estimating effect size in the presence of publication bias
Vevea, J. L., & Hedges, L. (1995) · Psychometrika · doi:10.1007/bf02294384 · Cited by 367
Replications and extensions in marketing: Rarely published but quite contrary
Hubbard, R., & Armstrong, J. S. (1994) · International Journal of Research in Marketing · doi:10.1016/0167-8116(94)90003-5 · Cited by 417
“…are biased in favor of the publication of statistically significant (p < 0.05) results, thus contaminating their respective literatures with Type I errors whose incidence exceeds that prescribed by nominal alpha levels such as 0.05 (Feige, 1975; Greenwald, 1975; Hubbard and Armstrong, 1992).”
BackgroundInfluential20 Stage Analysis of Reaction Processes
Sanders, A. F. (1980) · Advances in psychology · doi:10.1016/s0166-4115(08)61955-x · Cited by 415
Publication Bias in the Organizational Sciences
Kepes, S., Banks, G. C., McDaniel, M. A., & Whetzel, D. L. (2012) · Organizational Research Methods · doi:10.1177/1094428112452760 · Cited by 416
“As explained previously, published samples tend to report more significant and positive effect sizes than the literature as a whole (e.g., Greenwald, 1975; Hopewell, McDonald, Clarke, & Egger, 2007; Song et al., 2010).”
BackgroundSwedberg, R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108762519.002 · Cited by 471
Investigating the replicability of preclinical cancer biology
Errington, T. M., Mathur, M., Soderberg, C. K., Denis, A., Perfito, N., Iorns, E., & Nosek, B. A. (2021) · eLife · doi:10.7554/elife.71601 · Cited by 462
“…such as selective reporting, presenting exploratory findings as confirmatory tests, and failures of documentation, transparency, and sharing (Casadevall and Fang, 2012; Gelman and Loken, 2013; Greenwald, 1975; Kimmelman et al., 2014; Makel et al., 2012; Nosek et al., 2012; Rosenthal, 1979).”
BackgroundLivingstone, S., & Helsper, E. J. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00301.x · Cited by 393
“Although it can be suggested that journal publication is biased towards studies that show effects, Greenwald (1975) argues that this does not invalidate the conclusions drawn.”
BackgroundBayesian Estimation and Inference
Zyphur, M. J., & Oswald, F. L. (2013) · Journal of Management · doi:10.1177/0149206313501200 · Cited by 415
“In any case, because of the focus on rejecting nulls with frequentist methods, theorizing null effects is almost never done, even though hypothesizing nulls can be useful (Greenwald, 1975; Kruschke, 2011; Schwab et al., 2011).”
BackgroundEffect sizes, confidence intervals, and confidence intervals for effect sizes
Thompson, B. (2007) · Psychology in the Schools · doi:10.1002/pits.20234 · Cited by 392
Meta-analysis of facial identification studies.
Shapiro, P. N., & Penrod, S. (1986) · Psychological Bulletin · doi:10.1037/0033-2909.100.2.139 · Cited by 547
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports
Scheel, A. M., Schijen, M., & Lakens, D. (2021) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459211007467 · Cited by 417
“These include editors and reviewers selectively rejecting manuscripts with negative results (reviewer bias; Greenwald, 1975; Mahoney, 1977) and researchers deciding not to submit studies with negative results for publication (file-drawering; Rosenthal, 1979).”
BackgroundPeterson, R. S., & Behfar, K. J. (2003) · Organizational Behavior and Human Decision Processes · doi:10.1016/s0749-5978(03)00090-6 · Cited by 363
“Greenwald (1975) recommends testing a null range—rather than a null point to demonstrate why a .05 significance test warrants acceptance of the null hypothesis.”
BackgroundInfluentialScientific Utopia: I. Opening Scientific Communication
Nosek, B. A., & Bar‐Anan, Y. (2012) · Psychological Inquiry · doi:10.1080/1047840x.2012.692215 · Cited by 387
“, nonsignificant) results are much more likely to end up in the file drawer (Greenwald, 1975).”
BackgroundEffects of psychoeducational care for adult surgical patients: A meta-analysis of 191 studies
Devine, E. C. (1992) · Patient Education and Counseling · doi:10.1016/0738-3991(92)90193-m · Cited by 360
Skitka, L. J., Mullen, E., Griffin, T., Hutchinson, S. R., & Chamberlin, B. (2002) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.83.2.470 · Cited by 360
“…results of Study 2 therefore shift the burden of proof to those who characterize ideologically patterned attributions as rooted in underlying stable dispositional differences between liberals and conservatives (see Greenwald, 1975, on the power of null hypothesis results to shift burdens of proof).”
ResultPsychology Will Be a Much Better Science When We Change the Way We Analyze Data
Loftus, G. R. (1996) · Current Directions in Psychological Science · doi:10.1111/1467-8721.ep11512376 · Cited by 362
“Note that the logic of NHST demands that the equal signs in Equation 3 mean equal to an infinite number of decimal places . If one weakens this requirement such that "=" means "pretty much equal," then one must add additional assumptions specifying what is meant by "pretty much." Although the mathematical machinery fo…”
BackgroundAlbers, C. J., & Lakens, D. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.09.004 · Cited by 366
“…more likely to follow-up on initial studies that yielded higher e ff ect size estimates than initial studies that yielded lower e ff ect size estimates (cf. Greenwald, 1975), simply because these studies require less resources to observe a statistically signi fi cant result in the expected direction.”
ResultSex differences in influenceability.
Eagly, A. H. (1978) · Psychological Bulletin · doi:10.1037/0033-2909.85.1.86 · Cited by 377
Modeling Publication Selection Effects in Meta-Analysis
Hedges, L. V. (1992) · Statistical Science · doi:10.1214/ss/1177011364 · Cited by 359
Communication, commitment, and cooperation in social dilemma.
Kerr, N. L., & Kaufman, C. M. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.66.3.513 · Cited by 358
Effects of video-game play on information processing: a meta-analytic investigation
Powers, K. L., Brooks, P. J., Aldrich, N. J., Palladino, M. A., & Alfieri, L. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-013-0418-z · Cited by 348
“Due to concerns regarding the publication bias against null findings (e.g., Greenwald, 1975; Hubbard & Armstrong, 1997), we also compared effect sizes across published and unpublished studies, using journal impact factors to compare high-and low-impact publications.”
ResultThe Theories of Reasoned Action and Planned Behavior Applied to Exercise: A Meta-analytic Update
Downs, D. S., & Hausenblas, H. A. (2005) · Journal of Physical Activity and Health · doi:10.1123/jpah.2.1.76 · Cited by 357
Sensitivity Analysis for Publication Bias in Meta-Analyses
Mathur, M. B., & VanderWeele, T. J. (2020) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/rssc.12440 · Cited by 354
“, 2004; Coursol and Wagner, 1986) and selective submission of papers (Franco et al., 2014; Greenwald, 1975), as well as editors’ and reviewers’ biases (although some empirical work suggests that the latter may be a weaker influence than author decision making; see Lee et al.”
BackgroundSingle-sample tests for many correlations.
Larzelere, R. E., & Mulaik, S. A. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.3.557 · Cited by 351
Cooper, H., & Patall, E. A. (2009) · Psychological Methods · doi:10.1037/a0015565 · Cited by 339
“Most notably, results of published data are generally more likely to reject the null hypothesis than unpublished data testing the same notion (Greenwald, 1975) and are more likely to exhibit larger effect sizes (Lipsey & Wilson, 1993).”
BackgroundResult
Metadata
- Authors
- Greenwald, A. G.
- Affiliations
- The Ohio State University (US)
- Corresponding author
- Greenwald, Anthony G.
- Venue
- Psychological Bulletin
- Published
- 1975-01
- Volume
- 82
- Issue
- 1
- Pages
- 1-20
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2116618538
- Cited by
- 1,022
- References
- 47
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 18 · 2023: 19 · 2022: 22 · 2021: 54 · 2020: 49 · 2019: 28 · 2018: 43 · 2017: 39 · 2016: 39 · 2015: 28 · 2014: 28 · 2013: 35 · 2012: 32
- FWCI
- 20.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- null hypothesis, publication bias, editorial decision-making, social psychology
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