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The fallacy of the null-hypothesis significance test.
Abstract
The theory of probability and statistical inference is various things to various people. To the mathematician, it is an intricate formal calculus, to be explored and developed with little professional concern for any empirical significance that might attach to the terms and propositions involved. To the philosopher, it is an embarrassing mystery whose justification and conceptual clarification have remained stubbornly refractory to philosophical insight. (A famous philosophical epigram has it that induction [a special case of statistical
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Cited by
The ASA Statement on p -Values: Context, Process, and Purpose
Wasserstein, R. L., & Lazar, N. A. (2016) · The American Statistician · doi:10.1080/00031305.2016.1154108 · Cited by 6,306
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-016-0149-3 · Cited by 3,200
Practical significance: a concept whose time has come
Kirk, R. E. (1996) · Educational and Psychological Measurement · doi:10.1177/0013164496056005002 · Cited by 1,778
Bayesian statistical inference for psychological research.
Edwards, W., Lindman, H., & Savage, L. J. (1963) · Psychological Review · doi:10.1037/h0044139 · Cited by 1,734
Sterne, J. A. C. (2001) · BMJ · doi:10.1136/bmj.322.7280.226 · Cited by 1,466
Nosek (2012) · doi:10.1177/1745691612459058 · Cited by 1,301
Null hypothesis significance testing: a review of an old and continuing controversy
Nickerson, R. S. (2000) · Psychological Methods · doi:10.1037/1082-989x.5.2.241 · Cited by 1,090
Consequences of prejudice against the null hypothesis.
Greenwald, A. G. (1975) · Psychological Bulletin · doi:10.1037/h0076157 · Cited by 1,022
Theory-Testing in Psychology and Physics: A Methodological Paradox
Meehl, P. E. (1967) · Philosophy of Science · doi:10.1086/288135 · Cited by 962
THEORY TESTING: COMBINING PSYCHOMETRIC META‐ANALYSIS AND STRUCTURAL EQUATIONS MODELING
VISWESVARAN, C., & ONES, D. S. (1995) · Personnel Psychology · doi:10.1111/j.1744-6570.1995.tb01784.x · Cited by 926
The case against statistical significance testing
Carver, R. (1978) · Harvard Educational Review · doi:10.17763/haer.48.3.t490261645281841 · Cited by 931
The rules of the game called psychological science
Bakker, M., van Dijk, A., & Wicherts, J. M. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612459060 · Cited by 800
Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence
Keysers, C., Gazzola, V., & Wagenmakers, E.-J. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0660-4 · Cited by 654
Meehl, P. E. (1990) · Psychological Inquiry · doi:10.1207/s15327965pli0102_1 · Cited by 673
Facts Are More Important Than Novelty: Replication in the Education Sciences
Makel, M. C., & Plucker, J. A. (2014) · Educational Researcher · doi:10.3102/0013189x14545513 · Cited by 609
The prevalence of statistical reporting errors in psychology (1985–2013)
Nuijten, M. B., Hartgerink, C. H. J., van Assen, M. A. L. M., Epskamp, S., & Wicherts, J. M. (2016) · Behavior Research Methods · doi:10.3758/s13428-015-0664-2 · Cited by 510
Shaffer, J. A., DeGeest, D., & Li, A. (2016) · Organizational Research Methods · doi:10.1177/1094428115598239 · Cited by 393
Zakzanis, K. K. (2001) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/16.7.653 · Cited by 346
When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment
Szucs, D., & Ioannidis, J. P. A. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00390 · Cited by 298
Significance Tests Die Hard: The Amazing Persistence of a Probabilistic Misconception
Falk, R., & Greenbaum, C. W. (1995) · Theory & Psychology · doi:10.1177/0959354395051004 · Cited by 279
A peculiar prevalence of p values just below .05
Masicampo, E. J., & Lalande, D. R. (2012) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2012.711335 · Cited by 266
A Short (Personal) Future History of Revolution 2.0
Spellman, B. A. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691615609918 · Cited by 213
Likelihood ratios: A simple and flexible statistic for empirical psychologists
Glover, S., & Dixon, P. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196706 · Cited by 218
Fads, fashions, and folderol in psychology
Dunnette, M. D. (1966) · American Psychologist · doi:10.1037/h0023535 · Cited by 176
There’s more than one way to conduct a replication study: Beyond statistical significance.
Anderson, S. F., & Maxwell, S. E. (2016) · Psychological Methods · doi:10.1037/met0000051 · Cited by 167
On the logic and purpose of significance testing.
Cortina, J. M., & Dunlap, W. P. (1997) · Psychological Methods · doi:10.1037/1082-989x.2.2.161 · Cited by 166
EREZ, A., BLOOM, M. C., & WELLS, M. T. (1996) · Personnel Psychology · doi:10.1111/j.1744-6570.1996.tb01801.x · Cited by 161
Significance tests as sorcery: Science is empirical—significance tests are not
Lambdin, C. (2012) · Theory & Psychology · doi:10.1177/0959354311429854 · Cited by 143
Testing Equivalence in Communication Research: Theory and Application
Weber, R., & Popova, L. (2012) · Communication Methods and Measures · doi:10.1080/19312458.2012.703834 · Cited by 135
Hubbard (2004) · doi:10.1177/0959354304043638 · Cited by 114
Supplementing Tests of Statistical Significance: Variation Accounted For
Young, M. A. (1993) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.3604.644 · Cited by 56
Ortega, A., & Navarrete, G. (2017) · Bayesian Inference · doi:10.5772/intechopen.70230 · Cited by 31
Theobald, D. L. (2011) · Biology Direct · doi:10.1186/1745-6150-6-60 · Cited by 16
“Frequentist hypothesis tests (of both Fisher and Neyman-Pearson flavors) have been highly criticized and disparaged for many decades by professional statisticians [44-71].”
Background(2009) · PubMed · Cited by 13
Metadata
- Authors
- Rozeboom, W. W.
- Venue
- Psychological Bulletin
- Published
- 1960-09
- Volume
- 57
- Issue
- 5
- Pages
- 416-428
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2079297380
- Cited by
- 729
- References
- 0
- FWCI
- 8.44
- Type
- journal article
- Language
- en
- Open access
- closed
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