Effect size (English Wikipedia)

Stegenga, J. (2015). "Measuring Effectiveness". Studies in History and Philosophy of Biological and Biomedical Sciences. 54: 62–71. doi:10.1016/j.shpsc.2015.06.003. PMID 26199055.

bobmcgrath.org

Robert E. McGrath; Gregory J. Meyer (2006). "When Effect Sizes Disagree: The Case of r and d" (PDF). Psychological Methods. 11 (4): 386–401. CiteSeerX 10.1.1.503.754. doi:10.1037/1082-989x.11.4.386. PMID 17154753. Archived from the original (PDF) on 2013-10-08. Retrieved 2014-07-30.

books.google.com

Ellis, Paul D. (2010). The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results. Cambridge University Press. ISBN 978-0-521-14246-5.^{[page needed]}
Cohen, Jacob (1988). Statistical Power Analysis for the Behavioral Sciences. Routledge. ISBN 978-1-134-74270-7.
Hartung, Joachim; Knapp, Guido; Sinha, Bimal K. (2008). Statistical Meta-Analysis with Applications. John Wiley & Sons. ISBN 978-1-118-21096-3.
Kenny, David A. (1987). "Chapter 13" (PDF). Statistics for the Social and Behavioral Sciences. Little, Brown. ISBN 978-0-316-48915-7.
Sheskin, David J. (2003). Handbook of Parametric and Nonparametric Statistical Procedures (Third ed.). CRC Press. ISBN 978-1-4200-3626-8.

davidakenny.net

Kenny, David A. (1987). "Chapter 13" (PDF). Statistics for the Social and Behavioral Sciences. Little, Brown. ISBN 978-0-316-48915-7.

doi.org

Kelley, Ken; Preacher, Kristopher J. (2012). "On Effect Size". Psychological Methods. 17 (2): 137–152. doi:10.1037/a0028086. PMID 22545595. S2CID 34152884.
Cohen, J. "A power primer". American Psychological Association.
Wilkinson, Leland (1999). "Statistical methods in psychology journals: Guidelines and explanations". American Psychologist. 54 (8): 594–604. doi:10.1037/0003-066X.54.8.594. S2CID 428023.
Nakagawa, Shinichi; Cuthill, Innes C (2007). "Effect size, confidence interval and statistical significance: a practical guide for biologists". Biological Reviews of the Cambridge Philosophical Society. 82 (4): 591–605. doi:10.1111/j.1469-185X.2007.00027.x. PMID 17944619. S2CID 615371.
Brand A, Bradley MT, Best LA, Stoica G (2008). "Accuracy of effect size estimates from published psychological research" (PDF). Perceptual and Motor Skills. 106 (2): 645–649. doi:10.2466/PMS.106.2.645-649. PMID 18556917. S2CID 14340449. Archived from the original (PDF) on 2008-12-17. Retrieved 2008-10-31.
Brand A, Bradley MT, Best LA, Stoica G (2011). "Multiple trials may yield exaggerated effect size estimates" (PDF). The Journal of General Psychology. 138 (1): 1–11. doi:10.1080/00221309.2010.520360. PMID 21404946. S2CID 932324.
Sterne, Jonathan A. C.; Gavaghan, David; Egger, Matthias (2000-11-01). "Publication and related bias in meta-analysis: Power of statistical tests and prevalence in the literature". Journal of Clinical Epidemiology. 53 (11): 1119–1129. doi:10.1016/S0895-4356(00)00242-0. ISSN 0895-4356. PMID 11106885.
Sawilowsky, S (2009). "New effect size rules of thumb". Journal of Modern Applied Statistical Methods. 8 (2): 467–474. doi:10.22237/jmasm/1257035100. http://digitalcommons.wayne.edu/jmasm/vol8/iss2/26/
Sawilowsky, S. S. (2005). "Abelson's paradox and the Michelson-Morley experiment". Journal of Modern Applied Statistical Methods. 4 (1): 352. doi:10.22237/jmasm/1114907520.
Sawilowsky, S. (2003). "Deconstructing Arguments from the Case Against Hypothesis Testing". Journal of Modern Applied Statistical Methods. 2 (2): 467–474. doi:10.22237/jmasm/1067645940.
Cohen, J (1992). "A power primer". Psychological Bulletin. 112 (1): 155–159. doi:10.1037/0033-2909.112.1.155. PMID 19565683.
Olejnik, S.; Algina, J. (2003). "Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs" (PDF). Psychological Methods. 8 (4): 434–447. doi:10.1037/1082-989x.8.4.434. PMID 14664681. S2CID 6931663. Archived from the original (PDF) on 2010-06-10. Retrieved 2011-10-24.
Steiger, J. H. (2004). "Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis" (PDF). Psychological Methods. 9 (2): 164–182. doi:10.1037/1082-989x.9.2.164. PMID 15137887.
Andrade, Chittaranjan (22 September 2020). "Mean Difference, Standardized Mean Difference (SMD), and Their Use in Meta-Analysis". The Journal of Clinical Psychiatry. 81 (5). doi:10.4088/JCP.20f13681. eISSN 1555-2101. PMID 32965803. S2CID 221865130. SMD values of 0.2-0.5 are considered small, values of 0.5-0.8 are considered medium, and values > 0.8 are considered large. In psychopharmacology studies that compare independent groups, SMDs that are statistically significant are almost always in the small to medium range. It is rare for large SMDs to be obtained.
Robert E. McGrath; Gregory J. Meyer (2006). "When Effect Sizes Disagree: The Case of r and d" (PDF). Psychological Methods. 11 (4): 386–401. CiteSeerX 10.1.1.503.754. doi:10.1037/1082-989x.11.4.386. PMID 17154753. Archived from the original (PDF) on 2013-10-08. Retrieved 2014-07-30.
Larry V. Hedges (1981). "Distribution theory for Glass' estimator of effect size and related estimators". Journal of Educational Statistics. 6 (2): 107–128. doi:10.3102/10769986006002107. S2CID 121719955.
Del Giudice, Marco (2013-07-18). "Multivariate Misgivings: Is D a Valid Measure of Group and Sex Differences?". Evolutionary Psychology. 11 (5): 147470491301100. doi:10.1177/147470491301100511.
Deeks J (1998). "When can odds ratios mislead? : Odds ratios should be used only in case-control studies and logistic regression analyses". BMJ. 317 (7166): 1155–6. doi:10.1136/bmj.317.7166.1155a. PMC 1114127. PMID 9784470.
Stegenga, J. (2015). "Measuring Effectiveness". Studies in History and Philosophy of Biological and Biomedical Sciences. 54: 62–71. doi:10.1016/j.shpsc.2015.06.003. PMID 26199055.
McGraw KO, Wong SP (1992). "A common language effect size statistic". Psychological Bulletin. 111 (2): 361–365. doi:10.1037/0033-2909.111.2.361.
Cliff, Norman (1993). "Dominance statistics: Ordinal analyses to answer ordinal questions". Psychological Bulletin. 114 (3): 494–509. doi:10.1037/0033-2909.114.3.494.

ed.gov

ies.ed.gov

Lipsey, M.W.; et al. (2012). Translating the Statistical Representation of the Effects of Education Interventions Into More Readily Interpretable Forms (PDF). United States: U.S. Dept of Education, National Center for Special Education Research, Institute of Education Sciences, NCSER 2013–3000.

eric.ed.gov

Aaron, B., Kromrey, J. D., & Ferron, J. M. (1998, November). Equating r-based and d-based effect-size indices: Problems with a commonly recommended formula. Paper presented at the annual meeting of the Florida Educational Research Association, Orlando, FL. (ERIC Document Reproduction Service No. ED433353)

ipsychexpts.com

Brand A, Bradley MT, Best LA, Stoica G (2011). "Multiple trials may yield exaggerated effect size estimates" (PDF). The Journal of General Psychology. 138 (1): 1–11. doi:10.1080/00221309.2010.520360. PMID 21404946. S2CID 932324.

jclinepi.com

Sterne, Jonathan A. C.; Gavaghan, David; Egger, Matthias (2000-11-01). "Publication and related bias in meta-analysis: Power of statistical tests and prevalence in the literature". Journal of Clinical Epidemiology. 53 (11): 1119–1129. doi:10.1016/S0895-4356(00)00242-0. ISSN 0895-4356. PMID 11106885.

mtbradley.com

Brand A, Bradley MT, Best LA, Stoica G (2008). "Accuracy of effect size estimates from published psychological research" (PDF). Perceptual and Motor Skills. 106 (2): 645–649. doi:10.2466/PMS.106.2.645-649. PMID 18556917. S2CID 14340449. Archived from the original (PDF) on 2008-12-17. Retrieved 2008-10-31.

nih.gov

pubmed.ncbi.nlm.nih.gov

Kelley, Ken; Preacher, Kristopher J. (2012). "On Effect Size". Psychological Methods. 17 (2): 137–152. doi:10.1037/a0028086. PMID 22545595. S2CID 34152884.
Nakagawa, Shinichi; Cuthill, Innes C (2007). "Effect size, confidence interval and statistical significance: a practical guide for biologists". Biological Reviews of the Cambridge Philosophical Society. 82 (4): 591–605. doi:10.1111/j.1469-185X.2007.00027.x. PMID 17944619. S2CID 615371.
Brand A, Bradley MT, Best LA, Stoica G (2008). "Accuracy of effect size estimates from published psychological research" (PDF). Perceptual and Motor Skills. 106 (2): 645–649. doi:10.2466/PMS.106.2.645-649. PMID 18556917. S2CID 14340449. Archived from the original (PDF) on 2008-12-17. Retrieved 2008-10-31.
Brand A, Bradley MT, Best LA, Stoica G (2011). "Multiple trials may yield exaggerated effect size estimates" (PDF). The Journal of General Psychology. 138 (1): 1–11. doi:10.1080/00221309.2010.520360. PMID 21404946. S2CID 932324.
Sterne, Jonathan A. C.; Gavaghan, David; Egger, Matthias (2000-11-01). "Publication and related bias in meta-analysis: Power of statistical tests and prevalence in the literature". Journal of Clinical Epidemiology. 53 (11): 1119–1129. doi:10.1016/S0895-4356(00)00242-0. ISSN 0895-4356. PMID 11106885.
Cohen, J (1992). "A power primer". Psychological Bulletin. 112 (1): 155–159. doi:10.1037/0033-2909.112.1.155. PMID 19565683.
Olejnik, S.; Algina, J. (2003). "Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs" (PDF). Psychological Methods. 8 (4): 434–447. doi:10.1037/1082-989x.8.4.434. PMID 14664681. S2CID 6931663. Archived from the original (PDF) on 2010-06-10. Retrieved 2011-10-24.
Steiger, J. H. (2004). "Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis" (PDF). Psychological Methods. 9 (2): 164–182. doi:10.1037/1082-989x.9.2.164. PMID 15137887.
Andrade, Chittaranjan (22 September 2020). "Mean Difference, Standardized Mean Difference (SMD), and Their Use in Meta-Analysis". The Journal of Clinical Psychiatry. 81 (5). doi:10.4088/JCP.20f13681. eISSN 1555-2101. PMID 32965803. S2CID 221865130. SMD values of 0.2-0.5 are considered small, values of 0.5-0.8 are considered medium, and values > 0.8 are considered large. In psychopharmacology studies that compare independent groups, SMDs that are statistically significant are almost always in the small to medium range. It is rare for large SMDs to be obtained.
Robert E. McGrath; Gregory J. Meyer (2006). "When Effect Sizes Disagree: The Case of r and d" (PDF). Psychological Methods. 11 (4): 386–401. CiteSeerX 10.1.1.503.754. doi:10.1037/1082-989x.11.4.386. PMID 17154753. Archived from the original (PDF) on 2013-10-08. Retrieved 2014-07-30.
Deeks J (1998). "When can odds ratios mislead? : Odds ratios should be used only in case-control studies and logistic regression analyses". BMJ. 317 (7166): 1155–6. doi:10.1136/bmj.317.7166.1155a. PMC 1114127. PMID 9784470.
Stegenga, J. (2015). "Measuring Effectiveness". Studies in History and Philosophy of Biological and Biomedical Sciences. 54: 62–71. doi:10.1016/j.shpsc.2015.06.003. PMID 26199055.

ncbi.nlm.nih.gov

Deeks J (1998). "When can odds ratios mislead? : Odds ratios should be used only in case-control studies and logistic regression analyses". BMJ. 317 (7166): 1155–6. doi:10.1136/bmj.317.7166.1155a. PMC 1114127. PMID 9784470.

nova.edu

cps.nova.edu

Olejnik, S.; Algina, J. (2003). "Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs" (PDF). Psychological Methods. 8 (4): 434–447. doi:10.1037/1082-989x.8.4.434. PMID 14664681. S2CID 6931663. Archived from the original (PDF) on 2010-06-10. Retrieved 2011-10-24.

psu.edu

citeseerx.ist.psu.edu

Robert E. McGrath; Gregory J. Meyer (2006). "When Effect Sizes Disagree: The Case of r and d" (PDF). Psychological Methods. 11 (4): 386–401. CiteSeerX 10.1.1.503.754. doi:10.1037/1082-989x.11.4.386. PMID 17154753. Archived from the original (PDF) on 2013-10-08. Retrieved 2014-07-30.

semanticscholar.org

api.semanticscholar.org

Kelley, Ken; Preacher, Kristopher J. (2012). "On Effect Size". Psychological Methods. 17 (2): 137–152. doi:10.1037/a0028086. PMID 22545595. S2CID 34152884.
Wilkinson, Leland (1999). "Statistical methods in psychology journals: Guidelines and explanations". American Psychologist. 54 (8): 594–604. doi:10.1037/0003-066X.54.8.594. S2CID 428023.
Nakagawa, Shinichi; Cuthill, Innes C (2007). "Effect size, confidence interval and statistical significance: a practical guide for biologists". Biological Reviews of the Cambridge Philosophical Society. 82 (4): 591–605. doi:10.1111/j.1469-185X.2007.00027.x. PMID 17944619. S2CID 615371.
Brand A, Bradley MT, Best LA, Stoica G (2008). "Accuracy of effect size estimates from published psychological research" (PDF). Perceptual and Motor Skills. 106 (2): 645–649. doi:10.2466/PMS.106.2.645-649. PMID 18556917. S2CID 14340449. Archived from the original (PDF) on 2008-12-17. Retrieved 2008-10-31.
Brand A, Bradley MT, Best LA, Stoica G (2011). "Multiple trials may yield exaggerated effect size estimates" (PDF). The Journal of General Psychology. 138 (1): 1–11. doi:10.1080/00221309.2010.520360. PMID 21404946. S2CID 932324.
Olejnik, S.; Algina, J. (2003). "Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs" (PDF). Psychological Methods. 8 (4): 434–447. doi:10.1037/1082-989x.8.4.434. PMID 14664681. S2CID 6931663. Archived from the original (PDF) on 2010-06-10. Retrieved 2011-10-24.
Andrade, Chittaranjan (22 September 2020). "Mean Difference, Standardized Mean Difference (SMD), and Their Use in Meta-Analysis". The Journal of Clinical Psychiatry. 81 (5). doi:10.4088/JCP.20f13681. eISSN 1555-2101. PMID 32965803. S2CID 221865130. SMD values of 0.2-0.5 are considered small, values of 0.5-0.8 are considered medium, and values > 0.8 are considered large. In psychopharmacology studies that compare independent groups, SMDs that are statistically significant are almost always in the small to medium range. It is rare for large SMDs to be obtained.
Larry V. Hedges (1981). "Distribution theory for Glass' estimator of effect size and related estimators". Journal of Educational Statistics. 6 (2): 107–128. doi:10.3102/10769986006002107. S2CID 121719955.

statpower.net

Steiger, J. H. (2004). "Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis" (PDF). Psychological Methods. 9 (2): 164–182. doi:10.1037/1082-989x.9.2.164. PMID 15137887.

uiowa.edu

stat.uiowa.edu

Russell V. Lenth. "Java applets for power and sample size". Division of Mathematical Sciences, the College of Liberal Arts or The University of Iowa. Retrieved 2008-10-08.

wayne.edu

digitalcommons.wayne.edu

Sawilowsky, S (2009). "New effect size rules of thumb". Journal of Modern Applied Statistical Methods. 8 (2): 467–474. doi:10.22237/jmasm/1257035100. http://digitalcommons.wayne.edu/jmasm/vol8/iss2/26/
Sawilowsky, S. S. (2005). "Abelson's paradox and the Michelson-Morley experiment". Journal of Modern Applied Statistical Methods. 4 (1): 352. doi:10.22237/jmasm/1114907520.
Sawilowsky, S. (2003). "Deconstructing Arguments from the Case Against Hypothesis Testing". Journal of Modern Applied Statistical Methods. 2 (2): 467–474. doi:10.22237/jmasm/1067645940.

web.archive.org

Brand A, Bradley MT, Best LA, Stoica G (2008). "Accuracy of effect size estimates from published psychological research" (PDF). Perceptual and Motor Skills. 106 (2): 645–649. doi:10.2466/PMS.106.2.645-649. PMID 18556917. S2CID 14340449. Archived from the original (PDF) on 2008-12-17. Retrieved 2008-10-31.
Olejnik, S.; Algina, J. (2003). "Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs" (PDF). Psychological Methods. 8 (4): 434–447. doi:10.1037/1082-989x.8.4.434. PMID 14664681. S2CID 6931663. Archived from the original (PDF) on 2010-06-10. Retrieved 2011-10-24.
Robert E. McGrath; Gregory J. Meyer (2006). "When Effect Sizes Disagree: The Case of r and d" (PDF). Psychological Methods. 11 (4): 386–401. CiteSeerX 10.1.1.503.754. doi:10.1037/1082-989x.11.4.386. PMID 17154753. Archived from the original (PDF) on 2013-10-08. Retrieved 2014-07-30.

worldcat.org

Sterne, Jonathan A. C.; Gavaghan, David; Egger, Matthias (2000-11-01). "Publication and related bias in meta-analysis: Power of statistical tests and prevalence in the literature". Journal of Clinical Epidemiology. 53 (11): 1119–1129. doi:10.1016/S0895-4356(00)00242-0. ISSN 0895-4356. PMID 11106885.
Andrade, Chittaranjan (22 September 2020). "Mean Difference, Standardized Mean Difference (SMD), and Their Use in Meta-Analysis". The Journal of Clinical Psychiatry. 81 (5). doi:10.4088/JCP.20f13681. eISSN 1555-2101. PMID 32965803. S2CID 221865130. SMD values of 0.2-0.5 are considered small, values of 0.5-0.8 are considered medium, and values > 0.8 are considered large. In psychopharmacology studies that compare independent groups, SMDs that are statistically significant are almost always in the small to medium range. It is rare for large SMDs to be obtained.