The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.
Statistical methods in psychology journals: Guidelines and explanations.
Abstract
In the light of continuing debate over the applications of significance testing in psychology journals and following the publication of Cohen (1994), the Board of Scientific Affairs (BSA) of the APA convened a committee called the Task Force on Statistical Inference (TFSI) whose charge was “to elucidate some of the controversial issues surrounding applications
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“Several authors have pointed out that replication is the most objective method for checking if the result of a study is reliable and this concept plays an essential role in the advance of scientific knowledge (Carver, 1978; Wilkinson and The Task Force on Statistical, Inference, 1999; Nickerson, 2000; Hubbard, 2004; Cumming, 2008; Hubbard and Lindsay, 2008; Asendorpt et al., 2013; Kline, 2013; St”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Wilkinson and The Task Force on Statistical, Inference, 1999
In the citing paper
“Reporting the effect size and its confidence intervals (CIs) could help avoid these erroneous interpretations (Kirk, 1996; Wilkinson and The Task Force on Statistical, Inference, 1999; Gliner et al., 2001; Balluerka et al., 2009; Fidler and Loftus, 2009; American Psychological Association, 2010; Coulson et al., 2010; Monterde-i-Bort et al., 2010; Hoekstra et al., 2012).”
From Misconceptions of the p-value among Chilean and Italian Academic Psychologists (2016) · cites this paper as Wilkinson and The Task Force on Statistical Inference (1999)
In the citing paper
“Furthermore, we calculated planned contrasts, which are recommended as a means to test the hypotheses in intervention studies (Wilkinson & the Task Force on Statistical Inference 1999).”
From Transfer of metacognitive skills in self-regulated learning: an experimental training study (2020) · cites this paper as Wilkinson & the Task Force on Statistical Inference 1999
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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
Statistical 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
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,938
David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,707
(1979) · Medical Entomology and Zoology · Cited by 11,252
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Cited by
Sorted by citations
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341316 · Cited by 9,973
Effect size estimates: Current use, calculations, and interpretation.
Fritz, C. O., Morris, P. E., & Richler, J. J. (2012) · Journal of Experimental Psychology: General · doi:10.1037/a0024338 · Cited by 5,199
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986031004437 · Cited by 5,044
Starting at the beginning: an introduction to coefficient alpha and internal consistency
Streiner, D. L. (2003) · Journal of Personality Assessment · doi:10.1207/s15327752jpa8001_18 · Cited by 3,794
Dunn, T. J., Baguley, T. S., & Brunsden, V. (2013) · British Journal of Psychology · doi:10.1111/bjop.12046 · Cited by 3,766
On the practice of dichotomization of quantitative variables.
MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.19 · Cited by 3,538
Eta squared and partial eta squared as measures of effect size in educational research
Richardson, J. T. E. (2011) · Educational Research Review · doi:10.1016/j.edurev.2010.12.001 · Cited by 3,498
Effect size, confidence interval and statistical significance: a practical guide for biologists
Nakagawa, S., & Cuthill, I. C. (2007) · Biological Reviews · doi:10.1111/j.1469-185x.2007.00027.x · Cited by 3,835
The New Statistics: Why and How
Cumming, G. (2014) · Psychological Science · doi:10.1177/0956797613504966 · Cited by 3,200
The empirical status of cognitive-behavioral therapy: A review of meta-analyses
Butler, A. C., Chapman, J. E., Forman, E. M., & Beck, A. T. (2006) · Clinical Psychology Review · doi:10.1016/j.cpr.2005.07.003 · Cited by 3,215
Preacher, K. J., & Kelley, K. (2011) · Psychological Methods · doi:10.1037/a0022658 · Cited by 3,060
Effect size guidelines for individual differences researchers
Gignac, G. E., & Szodorai, E. T. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.06.069 · Cited by 2,860
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490
Ellis, P. D. (2010) · doi:10.1017/cbo9780511761676 · Cited by 2,461
A Meta-Analysis of Response Rates in Web- or Internet-Based Surveys
Cook, C., Heath, F. M., & Thompson, R. L. (2000) · Educational and Psychological Measurement · doi:10.1177/00131640021970934 · Cited by 2,520
Un sistema de clasificación de los diseños de investigación en psicología
Ato, M., López-García, J. J., & Benavente, A. (2013) · Anales de Psicología · doi:10.6018/analesps.29.3.178511 · Cited by 2,254
Principled missing data methods for researchers
Dong, Y., & Peng, C.-Y. J. (2013) · SpringerPlus · doi:10.1186/2193-1801-2-222 · Cited by 2,208
A farewell to Bonferroni: the problems of low statistical power and publication bias
Nakagawa, S. (2004) · Behavioral Ecology · doi:10.1093/beheco/arh107 · Cited by 2,102
Bakdash, J. Z., & Marusich, L. R. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00456 · Cited by 2,067
Default Bayes factors for ANOVA designs
Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2012.08.001 · Cited by 1,800
Understanding Power and Rules of Thumb for Determining Sample Sizes
VanVoorhis, C. R. W., & Morgan, B. L. (2007) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.03.2.p043 · Cited by 1,946
Lower bounds on sample size in structural equation modeling
Christopher Westland, J. (2010) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2010.07.003 · Cited by 1,846
Best practices for missing data management in counseling psychology
Schlomer, G. L., Bauman, S., & Card, N. A. (2010) · Journal of Counseling Psychology · doi:10.1037/a0018082 · Cited by 1,835
Recommended effect size statistics for repeated measures designs
Bakeman, R. A. (2005) · Behavior Research Methods · doi:10.3758/bf03192707 · Cited by 1,813
Meta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews
Rosenthal, R., & DiMatteo, M. R. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.59 · Cited by 1,780
Tsang, S., Royse, C., & Terkawi, A. (2017) · Saudi Journal of Anaesthesia · doi:10.4103/sja.sja_203_17 · Cited by 1,692
Olejnik, S., & Algina, J. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.4.434 · Cited by 1,622
Preliminary guidelines for empirical research in software engineering
Kitchenham, B. A., Pfleeger, S. L., Pickard, L. M., Jones, P. W., Hoaglin, D. C., Emam, K. E., & Rosenberg, J. (2002) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2002.1027796 · Cited by 1,514
Research Methods in Psychology
Shaughnessy, J. J. (2016) · doi:10.24926/8668.2201 · Cited by 1,503
An introduction to modern missing data analyses
Baraldi, A. N., & Enders, C. K. (2009) · Journal of School Psychology · doi:10.1016/j.jsp.2009.10.001 · Cited by 1,464
How to select, calculate, and interpret effect sizes.
Durlak, J. (2009) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsp004 · Cited by 1,487
Inference by Eye: Confidence Intervals and How to Read Pictures of Data.
Cumming, G., & Finch, S. (2005) · American Psychologist · doi:10.1037/0003-066x.60.2.170 · Cited by 1,449
RMediation: An R package for mediation analysis confidence intervals
Tofighi, D., & MacKinnon, D. P. (2011) · Behavior Research Methods · doi:10.3758/s13428-011-0076-x · Cited by 1,419
Nosek (2012) · doi:10.1177/1745691612459058 · Cited by 1,301
Contemporary Approaches to Assessing Mediation in Communication Research
Preacher, K. J., & Hayes, A. F. (2008) · Sage eBooks · doi:10.4135/9781452272054.n2 · Cited by 1,346
A Practical Guide to Calculating Cohen’s f2, a Measure of Local Effect Size, from PROC MIXED
Selya, A. S., Rose, J. S., Dierker, L. C., Hedeker, D., & Mermelstein, R. J. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00111 · Cited by 1,297
Detecting and Deterring Insufficient Effort Responding to Surveys
Huang, J. L. W., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2011) · Journal of Business and Psychology · doi:10.1007/s10869-011-9231-8 · Cited by 1,315
Probing interactions in fixed and multilevel regression: Inferential and graphical techniques
Bauer, D. J., & Curran, P. J. (2005) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr4003_5 · Cited by 1,506
Interpreting the magnitudes of correlation coefficients.
Hemphill, J. F. (2003) · American Psychologist · doi:10.1037/0003-066x.58.1.78 · Cited by 1,237
An improved effect size for single-case research: nonoverlap of all pairs.
Parker, R. I., & Vannest, K. (2009) · Behavior Therapy · doi:10.1016/j.beth.2008.10.006 · Cited by 1,126
Peugh, J., & Enders, C. K. (2004) · Review of Educational Research · doi:10.3102/00346543074004525 · Cited by 1,107
Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha
Henson, R. K. (2001) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2002.12069034 · Cited by 1,067
Impact of a Confounding Variable on a Regression Coefficient
Frank, K. A. (2000) · Sociological Methods & Research · doi:10.1177/0049124100029002001 · Cited by 1,042
Advances in testing the statistical significance of mediation effects.
Mallinckrodt, B. S., Abraham, W. T., Wei, M., & Russell, D. W. (2006) · Journal of Counseling Psychology · doi:10.1037/0022-0167.53.3.372 · Cited by 1,010
Statistical Evidence in Experimental Psychology: An Empirical Comparison Using 855 t Tests
Wetzels, R., Matzke, D., Lee, M. D., Rouder, J. N., Iverson, G. J., & Wagenmakers, E.-J. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611406923 · Cited by 945
Kelley, K., & Preacher, K. J. (2012) · Psychological Methods · doi:10.1037/a0028086 · Cited by 1,084
Reliability Generalization of Scores on the Spielberger State-Trait Anxiety Inventory
Barnes, L. L. B., Harp, D., & Jung, W. S. (2002) · Educational and Psychological Measurement · doi:10.1177/0013164402062004005 · Cited by 947
Attentional biases for negative interpersonal stimuli in clinical depression
Gotlib, I. H., Krasnoperova, E., Yue, D. N., & Joormann, J. (2004) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.113.1.121 · Cited by 911
Gigerenzer, G. (2004) · The Journal of Socio-Economics · doi:10.1016/j.socec.2004.09.033 · Cited by 890
Size of Treatment Effects and Their Importance to Clinical Research and Practice
KRAEMER, H. C., & Kupfer, D. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.09.014 · Cited by 850
Sequential Analysis and Observational Methods for the Behavioral Sciences
Bakeman, R. A., & Quera, V. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9781139017343 · Cited by 877
Brysbaert, M. (2019) · Journal of Cognition · doi:10.5334/joc.72 · Cited by 996
Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology
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A tutorial on a practical Bayesian alternative to null-hypothesis significance testing
Masson, M. E. J. (2011) · Behavior Research Methods · doi:10.3758/s13428-010-0049-5 · Cited by 752
Heilbronner, R. L., Sweet, J. J., Morgan, J. E., Larrabee, G. J., Millis, S. R., & Participants1, C. (2009) · The Clinical Neuropsychologist · doi:10.1080/13854040903155063 · Cited by 869
Vagal influence on working memory and attention
Hansen, A. L., Johnsen, B. H., & Thayer, J. F. (2003) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(03)00073-4 · Cited by 759
Sherry, A. R., & Henson, R. K. (2005) · Journal of Personality Assessment · doi:10.1207/s15327752jpa8401_09 · Cited by 768
An Introduction to Causal Inference
Pearl, J. (2010) · The International Journal of Biostatistics · doi:10.2202/1557-4679.1203 · Cited by 755
Little, R. J., & Rubin, D. B. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.121 · Cited by 721
. Caution regarding the use of pilot studies to guide power calculations for study proposals.
Kraemer, H. C., Mintz, J., Noda, A., Tinklenberg, J., & Yesavage, J. A. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.5.484 · Cited by 702
An Aligned Rank Transform Procedure for Multifactor Contrast Tests
Elkin, L. A., Kay, M., Higgins, J. J., & Wobbrock, J. O. (2021) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3472749.3474784 · Cited by 711
Measures of Effect Size for Comparative Studies: Applications, Interpretations, and Limitations
Olejnik, S. F., & Algina, J. J. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.2000.1040 · Cited by 703
Construct Validation in Social and Personality Research
Flake, J. K., Pek, J. C. X., & Hehman, E. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617693063 · Cited by 715
The Effects of Hot Spots Policing on Crime: An Updated Systematic Review and Meta-Analysis
Braga, A. A., Papachristos, A. V., & Hureau, D. M. (2012) · Justice Quarterly · doi:10.1080/07418825.2012.673632 · Cited by 727
Funder, D. C. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.197 · Cited by 740
Peters, G.-J. Y., Ruiter, R. A. C., & Kok, G. (2013) · Health Psychology Review · doi:10.1080/17437199.2012.703527 · Cited by 679
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Graham, J. M. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164406288165 · Cited by 689
Tharenou, P., Donohue, R., & Cooper, B. K. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810527 · Cited by 687
Handling Item-Level Missing Data: Simpler Is Just as Good
Parent, M. C. (2013) · The Counseling Psychologist · doi:10.1177/0011000012445176 · Cited by 685
New developments in latent variable panel analyses of longitudinal data
Little, T. D., Preacher, K. J., Selig, J. P., & Card, N. A. (2007) · International Journal of Behavioral Development · doi:10.1177/0165025407077757 · Cited by 670
Lang, T. A., & Altman, D. G. (2014) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2014.09.006 · Cited by 662
Maxwell, S. E. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.2.147 · Cited by 655
Standardized or simple effect size: what should be reported?
Baguley, T. (2009) · British Journal of Psychology · doi:10.1348/000712608x377117 · Cited by 619
Single-case experimental designs: a systematic review of published research and current standards
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Lovakov, A. V., & Рафиковна, А. Е. (2021) · European Journal of Social Psychology · doi:10.1002/ejsp.2752 · Cited by 755
Discovering the False Discovery Rate
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Handbook of Industrial, Work & Organizational Psychology
Anderson, N. R., Öneş, D. S., Sinangil, H. K., & Viswesvaran, C. (2001) · Sage eBooks · Cited by 632
The Other Half of the Story: Effect Size Analysis in Quantitative Research
Maher, J. M., Markey, J. C., & Ebert‐May, D. (2013) · CBE—Life Sciences Education · doi:10.1187/cbe.13-04-0082 · Cited by 628
Ferguson, C. J., & Heene, M. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612459059 · Cited by 603
What Improves with Increased Missing Data Imputations?
Bodner, T. E. (2008) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510802339072 · Cited by 695
Magerl, W., Krumova, E. K., Baron, R., Tölle, T. R., Treede, R., & Maier, C. (2010) · Pain · doi:10.1016/j.pain.2010.07.026 · Cited by 612
Moshagen, M., & Thielsch, M. T. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.05.006 · Cited by 654
Use of the Extreme Groups Approach: A Critical Reexamination and New Recommendations.
Preacher, K. J., Rucker, D. D., MacCallum, R. C., & Nicewander, W. A. (2005) · Psychological Methods · doi:10.1037/1082-989x.10.2.178 · Cited by 732
Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method
Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010) · Cognitive Psychology · doi:10.1016/j.cogpsych.2009.12.001 · Cited by 740
Putnam, S. P., Helbig, A. L., Gartstein, M. A., Rothbart, M. K., & Leerkes, E. M. (2013) · Journal of Personality Assessment · doi:10.1080/00223891.2013.841171 · Cited by 581
Hew, K. F., & Cheung, W. S. (2008) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2008.00900.x · Cited by 581
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Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E.-J. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0947-8 · Cited by 577
Ponterotto, J. G., & Ruckdeschel, D. E. (2007) · Perceptual and Motor Skills · doi:10.2466/pms.105.3.997-1014 · Cited by 555
PlotsOfData—A web app for visualizing data together with their summaries
Postma, M., & Goedhart, J. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000202 · Cited by 554
Quantifying construct validity: Two simple measures.
Westen, D., & Rosenthal, R. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.3.608 · Cited by 543
Sample 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
Thompson, B. (2002) · Educational Researcher · doi:10.3102/0013189x031003025 · Cited by 546
How to Estimate and Interpret Various Effect Sizes.
Vacha‐Haase, T., & Thompson, B. (2004) · Journal of Counseling Psychology · doi:10.1037/0022-0167.51.4.473 · Cited by 556
Default Bayes Factors for Model Selection in Regression
Rouder, J. N., & Morey, R. D. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.734737 · Cited by 477
Contrasts and Correlations in Effect-Size Estimation
Rosnow, R. L., Rosenthal, R., & Rubin, D. B. (2000) · Psychological Science · doi:10.1111/1467-9280.00287 · Cited by 513
Crawford, J. R., Garthwaite, P. H., & Porter, S. (2010) · Cognitive Neuropsychology · doi:10.1080/02643294.2010.513967 · Cited by 537
Chmura Kraemer, H., Kiernan, M., Essex, M., & Kupfer, D. J. (2008) · Health Psychology · doi:10.1037/0278-6133.27.2(suppl.).s101 · Cited by 600
Shariff, A., Willard, A. K., Andersen, T., & Norenzayan, A. (2015) · Personality and Social Psychology Review · doi:10.1177/1088868314568811 · Cited by 522
McCrae, R. R., Costa, P. T., Terracciano, A., Parker, W. D., Mills, C. J., De Fruyt, F., & Mervielde, I. (2002) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.83.6.1456 · Cited by 499
Metadata
- Authors
- Wilkinson, L., & Task Force on Statistical Inference
- Corresponding author
- Wilkinson, Leland
- Venue
- American Psychologist
- Published
- 1999-08
- Volume
- 54
- Issue
- 8
- Pages
- 594-604
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- OpenAlex
- W2104818169
- Cited by
- 2,791
- References
- 52
- Citations by year
- 2026: 39 · 2025: 53 · 2024: 57 · 2023: 78 · 2022: 93 · 2021: 145 · 2020: 112 · 2019: 109 · 2018: 121 · 2017: 126 · 2016: 119 · 2015: 126 · 2014: 141 · 2013: 133 · 2012: 128
- FWCI
- 125.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Psychologist (publishedVersion)
- 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
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- statistical inference, significance testing, statistical reporting guidelines, reporting guidelines
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