The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The earth is round (p < .05).
Abstract
After 4 decades of severe criticism, the ritual of null hypothesis significance testing (mechanical dichotomous decisions around a sacred .05 criterion) still persists. This article reviews the problems with this practice, including near universal misinterpretation of p as the probability that H₀ is false, the misinterpretation that its complement is the probability of successful replication, and the mistaken assumption that if one rejects H₀ one thereby affirms the theory that led to the test. Exploratory data analysis and the use of graphic methods, a steady improvement in and a movement toward standardization in measurement, an emphasis on estimating effect sizes using confidence intervals, and the informed use of available statistical methods are suggested. For generalization, psychologists must finally rely, as has been done in all the older sciences, on replication. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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
“As in any statistical application, accepting the null hypothesis (in this case, a null hypothesis of no interaction) should be understood as being distinct from a failure to reject it (Cohen, 1994).”
From Enrichment Effects on Adult Cognitive Development: Can the Functional Capacity of Older Adults Be Preserved and Enhanced? (2008) · cites this paper as Cohen, 1994
In the citing paper
“Therefore, NHST only tells us about the probability of obtaining data which are equally or more discrepant than those obtained in the event that H0 is true (Cohen, 1994; Nickerson, 2000; Balluerka et al., 2009; Kline, 2013).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Cohen, 1994
In the citing paper
“The most common misconceptions about p-value are “inverse probability fallacy,” “replication fallacy,” “effect size fallacy,” and “clinical or practical significance fallacy” (Carver, 1978; Cohen, 1994; Kirk, 1996; Nickerson, 2000; Kline, 2013).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Cohen, 1994
In the citing paper
“This is might be because of two reasons: the programmer could have found a problem while coding, who at first will try to solve it by reading the code, switching out from the IDE, navigating the call stack and debugging, before going to ask another teammate, according to LaToza et al. [35]; this set of actions end up with an interruption and reduce the observed activity within the IDE.”
From Work fragmentation in developer interaction data (2017) · cites this paper as [35]
In the citing paper
“These categories of events agree with our previous hypothesis that positive interruptions are related to information seeking [9,35], while negative interruptions are related to actual task switches where context needs to be rebuilt afterwards.”
From Work fragmentation in developer interaction data (2017) · cites this paper as [35]
In the citing paper
“Our results and theoretical foundations are based on observational studies performed on information workers' development environments [5,6,35,10].”
From Work fragmentation in developer interaction data (2017) · cites this paper as [35]
Citations
Cites
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Self-citationStatistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Self-citationDavid, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,707
Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
The Logic of Scientific Discovery
Bhaskar, R. (2013) · Routledge eBooks · doi:10.4324/9780203090732-9 · Cited by 7,765
The visual display of quantitative information
(1985) · General Pharmacology The Vascular System · doi:10.1016/0306-3623(85)90230-7 · Cited by 5,090
Belief in the law of small numbers.
Tversky, A., & Kahneman, D. (1971) · Psychological Bulletin · doi:10.1037/h0031322 · Cited by 3,246
Kemp, C. D., & Tufte, E. R. (1992) · Biometrics · doi:10.2307/2532323 · Cited by 2,728
Meehl, P. E. (1978) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.46.4.806 · Cited by 2,061
Cited by
Sorted by citations
Items 201–300 of 1,029
Continuously Cumulating Meta-Analysis and Replicability
Braver, S. L., Thoemmes, F. J., & Rosenthal, R. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614529796 · Cited by 308
A Meta-Analysis of the Impact of Price Presentation on Perceived Savings
Krishna, A., Briesch, R. A., Lehmann, D. R., & Yuan, H. (2002) · Springer eBooks · doi:10.1007/978-3-031-88060-5_19 · Cited by 292
Barrett, P. T., Petrides, K. V., Eysenck, S. B. G., & Eysenck, H. J. (1998) · Personality and Individual Differences · doi:10.1016/s0191-8869(98)00026-9 · Cited by 291
Lakens, D., & Evers, E. R. K. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614528520 · Cited by 266
Family risk factors for child and adolescent suicidal behavior.
Wagner, B. M. (1997) · Psychological Bulletin · doi:10.1037/0033-2909.121.2.246 · Cited by 282
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
The Effectiveness of School-Based Anti-Bullying Programs
Ferguson, C. J., Miguel, C. S., Kilburn, J. C., & Sanchez, P. (2007) · Criminal Justice Review · doi:10.1177/0734016807311712 · Cited by 326
Null hypothesis significance testing: On the survival of a flawed method.
Krueger, J. I. (2001) · American Psychologist · doi:10.1037/0003-066x.56.1.16 · Cited by 288
A meta-analysis of the association between DRD4 polymorphism and novelty seeking
Kluger, A. N., Siegfried, Z., & Ebstein, R. P. (2002) · Molecular Psychiatry · doi:10.1038/sj.mp.4001082 · Cited by 281
Giner-Sorolla, R. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612457576 · Cited by 274
Dale, D., Corbin, C. B., & DALE, K. S. (2000) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2000.10608904 · Cited by 291
Comparison of methods for constructing confidence intervals of standardized indirect effects
Cheung, M. W. ‐. (2009) · Behavior Research Methods · doi:10.3758/brm.41.2.425 · Cited by 301
Sharfman, M. P., Shaft, T. M., & Anex, R. P. (2007) · Business Strategy and the Environment · doi:10.1002/bse.580 · Cited by 276
Smithson, M. J. (2001) · Educational and Psychological Measurement · doi:10.1177/00131640121971392 · Cited by 275
Effect sizes and p values: What should be reported and what should be replicated?
Greenwald, A. G., Gonzalez, R., Harris, R., & Guthrie, D. (1996) · Psychophysiology · doi:10.1111/j.1469-8986.1996.tb02121.x · Cited by 273
Evaluating the Quality of Evidence from Correlational Research for Evidence-Based Practice
Thompson, B., Diamond, K. E., McWilliam, R. A., Snyder, P., & Snyder, S. W. (2005) · Exceptional Children · doi:10.1177/001440290507100204 · Cited by 273
Christian, K., Morrison, F. J., & Bryant, F. B. (1998) · Early Childhood Research Quarterly · doi:10.1016/s0885-2006(99)80054-4 · Cited by 272
A novel measure of effect size for mediation analysis
Lachowicz, M. J., Preacher, K. J., & Kelley, K. (2018) · Psychological Methods · doi:10.1037/met0000165 · Cited by 271
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error
Correll, M., & Gleicher, M. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346298 · Cited by 258
Student evaluations of college professors: When gender matters.
Basow, S. A. (1995) · Journal of Educational Psychology · doi:10.1037/0022-0663.87.4.656 · Cited by 270
Cuijpers, P., Turner, E. H., Koole, S. L., van Dijke, A., & Smit, F. (2014) · Depression and Anxiety · doi:10.1002/da.22249 · Cited by 242
Situational similarity and personality predict behavioral consistency.
Sherman, R. A., Nave, C. S., & Funder, D. C. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0019796 · Cited by 266
Person–Environment Congruence and Holland's Theory: A Review and Reconsideration
Spokane, A. R., Meir, E. I., & Catalano, M. (2000) · Journal of Vocational Behavior · doi:10.1006/jvbe.2000.1771 · Cited by 303
Inference in ecology and evolution
Stephens, P. A., Buskirk, S. W., & del Rio, C. M. (2006) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.12.003 · Cited by 268
Methodological Wishes for the Next Decade and How to Make Wishes Come True
Aguinis, H., & Edwards, J. R. (2013) · Journal of Management Studies · doi:10.1111/joms.12058 · Cited by 264
On being cool and collected: Mood regulation in anticipation of social interaction.
Erber, R., Wegner, D. M., & Therriault, N. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.70.4.757 · Cited by 267
A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP
van den Bergh, D., van Doorn, J. B., Marsman, M., Draws, T., van Kesteren, E., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Gupta, A. R. K. N., et al. (2020) · L’Année psychologique · doi:10.3917/anpsy1.201.0073 · Cited by 267
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
Late specialization: the key to success in centimeters, grams, or seconds (cgs) sports
Moesch, K., Elbe, A., Hauge, M.-L. T., & Wikman, J. M. (2011) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/j.1600-0838.2010.01280.x · Cited by 266
Evaluating batterer counseling programs: A difficult task showing some effects and implications
Gondolf, E. W. (2003) · Aggression and Violent Behavior · doi:10.1016/j.avb.2003.06.001 · Cited by 279
Peer review for journals: Evidence on quality control, fairness, and innovation
Armstrong, J. S. (1997) · Science and Engineering Ethics · doi:10.1007/s11948-997-0017-3 · Cited by 263
Empirical approaches to the study of language evolution
Fitch, W. T. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1236-5 · Cited by 263
Considering aspects of the 3Rs principles within experimental animal biology
Sneddon, L. U., Halsey, L. G., & Bury, N. R. (2017) · Journal of Experimental Biology · doi:10.1242/jeb.147058 · Cited by 275
Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach
Boik, R. J. (2001) · Journal of the American Statistical Association · doi:10.1198/jasa.2001.s432 · Cited by 257
Markland, D. A. (2006) · Personality and Individual Differences · doi:10.1016/j.paid.2006.09.023 · Cited by 251
Methods for the Behavioral, Educational, and Social Sciences: An R package
Kelley, K. (2007) · Behavior Research Methods · doi:10.3758/bf03192993 · Cited by 255
Pardini, D. A., Raine, A., Erickson, K. I., & Loeber, R. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.003 · Cited by 255
Study Designs for PDSA Quality Improvement Research
Speroff, T., & O’Connor, G. T. (2004) · Quality Management in Health Care · doi:10.1097/00019514-200401000-00002 · Cited by 252
Sharpe, D. (1997) · Clinical Psychology Review · doi:10.1016/s0272-7358(97)00056-1 · Cited by 334
QUANTIFYING THE INFORMATION VALUE OF CLINICAL ASSESSMENTS WITH SIGNAL DETECTION THEORY
McFall, R. M., & Treat, T. A. (1999) · Annual Review of Psychology · doi:10.1146/annurev.psych.50.1.215 · Cited by 251
Misinterpretations of Significance: A Problem Students Share with Their Teachers?
Haller, H., & Krauss, S. (2002) · IPN - Institute for Science Education at the University of Kiel, Germany · doi:10.23668/psycharchives.12769 · Cited by 250
Effects of synchronous music on treadmill running among elite triathletes
Terry, P. C., Karageorghis, C. I., Saha, A. M., & D’Auria, S. (2011) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2011.06.003 · Cited by 273
A Short (Personal) Future History of Revolution 2.0
Spellman, B. A. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691615609918 · Cited by 213
Jaccard, J., & Guilamo-Ramos, V. (2002) · Journal of Clinical Child & Adolescent Psychology · doi:10.1207/s15374424jccp3101_15 · Cited by 248
Lilienfeld, S. O. (2011) · American Psychologist · doi:10.1037/a0023963 · Cited by 272
Power, precision, and sample size estimation in sport and exercise science research
Abt, G., Boreham, C. A., Davison, G. W., Jackson, R. C., Nevill, A. M., Wallace, E. S., & Williams, M. R. F. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1776002 · Cited by 277
The Chrysalis Effect: How Ugly Initial Results Metamorphosize Into Beautiful Articles
O’Boyle, E. H., Banks, G. C., & Gonzalez-Mulé, E. (2017) · Journal of Management · doi:10.1177/0149206314527133 · Cited by 246
Earned–Secure Attachment Status in Retrospect and Prospect
Roisman, G. I., Padrón, E., Sroufe, L. A., & Egeland, B. R. (2002) · Child Development · doi:10.1111/1467-8624.00467 · Cited by 247
Improving the Dependability of Research in Personality and Social Psychology
Funder, D. C., Levine, J. M., Mackie, D. M., Morf, C. C., Sansone, C., Vazire, S., & West, S. G. (2013) · Personality and Social Psychology Review · doi:10.1177/1088868313507536 · Cited by 299
A future for community psychology: The contexts of diversity and the diversity of contexts
Trickett, E. J. (1996) · American Journal of Community Psychology · doi:10.1007/bf02510399 · Cited by 255
Prize-based contingency management for the treatment of substance abusers: a meta-analysis
Benishek, L. A., Dugosh, K. L., Kirby, K. C., Matejkowski, J. C., Clements, N. T., Seymour, B. L., & Festinger, D. S. (2014) · Addiction · doi:10.1111/add.12589 · Cited by 257
Priming Intelligent Behavior: An Elusive Phenomenon
Shanks, D. R., Newell, B. R., Lee, E. H., Balakrishnan, D., Ekelund, L., Cenac, Z., Kavvadia, F., & Moore, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056515 · Cited by 263
Testosterone is positively associated with risk taking in the Iowa Gambling Task
Stanton, S. J., Liening, S. H., & Schultheiss, O. C. (2011) · Hormones and Behavior · doi:10.1016/j.yhbeh.2010.12.003 · Cited by 236
On the Probability of Observing Misleading Statistical Evidence
Royall, R. M. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10474264 · Cited by 241
The Psychology of Replication and Replication in Psychology
Francis, G. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612459520 · Cited by 249
Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.01 · Cited by 242
Aguinis, H., Werner, S., Abbott, J., Angert, C., Park, J., & Kohlhausen, D. (2010) · Organizational Research Methods · doi:10.1177/1094428109333339 · Cited by 245
O’Toole, A. J., Jiang, F., Abdi, H., Pénard, N., Dunlop, J. P., & Parent, M. A. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.11.1735 · Cited by 238
Confidence Intervals for Standardized Effect Sizes: Theory, Application, and Implementation
Kelley, K. (2007) · Journal of Statistical Software · doi:10.18637/jss.v020.i08 · Cited by 237
A tutorial on testing hypotheses using the Bayes factor.
Hoijtink, H., Mulder, J., Lissa, C. J. V., & Gu, X. (2019) · Psychological Methods · doi:10.1037/met0000201 · Cited by 256
Ecological Rationality: Fast-and-Frugal Heuristics for Managerial Decision Making under Uncertainty
Luan, S., Reb, J. M., & Gigerenzer, G. (2019) · Academy of Management Journal · doi:10.5465/amj.2018.0172 · Cited by 251
Classroom and Developmental Differences in a Path Model of Teacher Expectancy Effects
Kuklinski, M. R., & Weinstein, R. S. (2001) · Child Development · doi:10.1111/1467-8624.00365 · Cited by 230
Fitchett, P. G., & Heafner, T. L. (2010) · Theory & Research in Social Education · doi:10.1080/00933104.2010.10473418 · Cited by 230
Motivational interviewing and the clinical science of Carl Rogers.
Miller, W. R., & Moyers, T. B. (2017) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000179 · Cited by 231
Edwards, J. R., & Berry, J. W. (2010) · Organizational Research Methods · doi:10.1177/1094428110380467 · Cited by 224
Model selection and information theory in geographical ecology
Diniz‐Filho, J. A. F., Rangel, T. F., & Bini, L. M. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2008.00395.x · Cited by 221
The appropriate use of null hypothesis testing.
Frick, R. W. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.4.379 · Cited by 216
The ongoing tyranny of statistical significance testing in biomedical research
Stang, A., Poole, C., & Kuß, O. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9440-x · Cited by 221
Evaluation Methods for Social Intervention
Lipsey, M. W., & Cordray, D. S. (2000) · Annual Review of Psychology · doi:10.1146/annurev.psych.51.1.345 · Cited by 221
Needed: A Ban on the Significance Test
Hunter, J. E. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00534.x · Cited by 314
McElreath, R., Bell, A. V., Efferson, C., Lubell, M., Richerson, P. J., & Waring, T. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0131 · Cited by 283
Roisman, G. I., Collins, W. A., Sroufe, L. A., & Egeland, B. (2005) · Attachment & Human Development · doi:10.1080/14616730500134928 · Cited by 219
A researcher's guide to regression, discretization, and median splits of continuous variables
Rucker, D., McShane, B., & Preacher, K. J. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2015.04.004 · Cited by 221
Confidence Intervals for Effect Sizes
Fan, X., & Thompson, B. (2001) · Educational and Psychological Measurement · doi:10.1177/0013164401614001 · Cited by 219
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
Proper analysis of the accuracy of group judgments.
Gigone, D., & Hastie, R. (1997) · Psychological Bulletin · doi:10.1037/0033-2909.121.1.149 · Cited by 215
Blazing Angels or Resident Evil? Can Violent Video Games be a Force for Good?
Ferguson, C. J. (2010) · Review of General Psychology · doi:10.1037/a0018941 · Cited by 229
Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology
Serinaldi, F., Kilsby, C. G., & Lombardo, F. (2017) · Advances in Water Resources · doi:10.1016/j.advwatres.2017.10.015 · Cited by 222
Nye, C. D., & Drasgow, F. (2011) · Journal of Applied Psychology · doi:10.1037/a0022955 · Cited by 232
Lai, C. K., Hoffman, K. M., & Nosek, B. A. (2012) · Social and Personality Psychology Compass · doi:10.1111/spc3.12023 · Cited by 239
The mix of qualitative and quantitative research in major marketing journals, 1993‐2002
Hanson, D. J., & Grimmer, M. R. (2007) · European Journal of Marketing · doi:10.1108/03090560710718111 · Cited by 230
Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing
Hubbard, R., & Lindsay, R. M. (2008) · Theory & Psychology · doi:10.1177/0959354307086923 · Cited by 226
Developing a multidimensional and hierarchical service quality model for the travel agency industry
Martínez, L., & García, J. A. M. (2007) · Tourism Management · doi:10.1016/j.tourman.2007.07.014 · Cited by 215
Does Ethnic Diversity Erode Trust? Putnam’s ‘Hunkering Down’ Thesis Reconsidered
Sturgis, P., Brunton‐Smith, I., Read, S., & Allum, N. (2010) · British Journal of Political Science · doi:10.1017/s0007123410000281 · Cited by 212
Gilliam, W., & Zigler, E. (2000) · Early Childhood Research Quarterly · doi:10.1016/s0885-2006(01)00073-4 · Cited by 212
Norris, J. M., & Ortega, L. (2003) · Wiley eBooks · doi:10.1002/9780470756492.ch21 · Cited by 211
Boker, S. M., & Nesselroade, J. R. (2002) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3701_06 · Cited by 205
Lang, C., Brand, S., Feldmeth, A. K., Holsboer-Trachsler, E., Pühse, U., & Gerber, M. (2013) · Physiology & Behavior · doi:10.1016/j.physbeh.2013.07.001 · Cited by 211
Thompson, B. (1996) · Educational Researcher · doi:10.3102/0013189x025002026 · Cited by 211
Significance, Effect Sizes, Stepwise Methods, and Other Issues: Strong Arguments Move the Field
Thompson, B. (2001) · The Journal of Experimental Education · doi:10.1080/00220970109599499 · Cited by 241
Lantz, B. (2012) · Scandinavian Journal of Caring Sciences · doi:10.1111/j.1471-6712.2012.01052.x · Cited by 209
Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction
Robinaugh, D. J., Haslbeck, J. M. B., Ryan, O., Fried, E. I., & Waldorp, L. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620974697 · Cited by 237
Human-Robot Interaction: An Introduction
Bartneck, C., Belpaeme, T., Eyssel, F., Kanda, T., Keijsers, M., & Šabanović, S. (2020) · doi:10.1017/9781108676649 · Cited by 211
JMASM9: Converting Kendall's Tau For Correlational Or Meta-Analytic Analyses
Walker, D. A. (2003) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1067646360 · Cited by 208
I can see clearly now: Reinterpreting statistical significance
Dushoff, J. G., Kain, M. P., & Bolker, B. M. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13159 · Cited by 211
Normal P50 Suppression in Schizophrenia Patients Treated With Atypical Antipsychotic Medications
Light, G. A., Geyer, M. A., Clementz, B. A., Cadenhead, K. S., & BRAFF, D. L. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.5.767 · Cited by 206
Learning the Rules for Offering Advice: A Quantitative Approach to Second Language Socialization
Matsumura, S. (2001) · Language Learning · doi:10.1111/0023-8333.00170 · Cited by 205
The interpretation of statistical power after the data have been gathered
Dziak, J. J., Dierker, L., & Abar, B. W. (2018) · Current Psychology · doi:10.1007/s12144-018-0018-1 · Cited by 230
Zhang, X. D. (2011) · SLAS DISCOVERY · doi:10.1177/1087057111405851 · Cited by 203
Corporate Social Performance and Financial Performance
Orlitzky, M. (2009) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199211593.003.0005 · Cited by 215
Metadata
- Authors
- Cohen, J.
- Affiliations
- New York University (US)
- Corresponding author
- Cohen, Jacob
- Venue
- American Psychologist
- Published
- 1994-12
- Volume
- 49
- Issue
- 12
- Pages
- 997-1003
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- OpenAlex
- W2030360178
- Cited by
- 4,003
- References
- 43
- Citations by year
- 2026: 94 · 2025: 122 · 2024: 87 · 2023: 116 · 2022: 128 · 2021: 161 · 2020: 255 · 2019: 178 · 2018: 184 · 2017: 177 · 2016: 187 · 2015: 182 · 2014: 183 · 2013: 167 · 2012: 172
- FWCI
- 87.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Psychologist (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- null hypothesis significance testing, misinterpretation of p-values, replication, effect size estimation, confidence intervals, exploratory data analysis, measurement standardization, psychology research practice
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