Hatásnagyság (Hungarian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Hatásnagyság" in Hungarian language version.

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23doi.org

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11nih.gov

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9archive.org

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5books.google.com

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3web.archive.org

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3wayne.edu

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2ed.gov

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1mtbradley.com

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1ipsychexpts.com

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1uiowa.edu

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1nova.edu

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1statpower.net

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1bobmcgrath.org

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1academia.edu

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academia.edu

(2015) „Measuring Effectiveness”. Studies in History and Philosophy of Biological and Biomedical Sciences 54, 62–71. o. DOI:10.1016/j.shpsc.2015.06.003. PMID 26199055.

archive.org

Wilkinson, Leland (1999). „Statistical methods in psychology journals: Guidelines and explanations”. American Psychologist 54 (8), 594–604. o. DOI:10.1037/0003-066X.54.8.594.
Cohen, J (1992). „A power primer”. Psychological Bulletin 112 (1), 155–159. o. DOI:10.1037/0033-2909.112.1.155. PMID 19565683.
Larry V. Hedges & Ingram Olkin. Statistical Methods for Meta-Analysis. Orlando: Academic Press (1985). ISBN 978-0-12-336380-0
(1992) „A common language effect size statistic”. Psychological Bulletin 111 (2), 361–365. o. DOI:10.1037/0033-2909.111.2.361.
Grissom RJ (1994). „Statistical analysis of ordinal categorical status after therapies”. Journal of Consulting and Clinical Psychology 62 (2), 281–284. o. DOI:10.1037/0022-006X.62.2.281. PMID 8201065.
(2000) „A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong”. Journal of Educational and Behavioral Statistics 25 (2), 101–132. o. DOI:10.3102/10769986025002101.
(1956) „Rank-biserial correlation”. Psychometrika 21 (3), 287–290. o. DOI:10.1007/BF02289138.
(1972) „Dealing with a common problem in social science: A simplified rank-biserial coefficient of correlation based on the U statistic”. European Journal of Social Psychology 2 (4), 463–465. o. DOI:10.1002/ejsp.2420020412.
Cliff, Norman (1993). „Dominance statistics: Ordinal analyses to answer ordinal questions”. Psychological Bulletin 114 (3), 494–509. o. DOI:10.1037/0033-2909.114.3.494.

bobmcgrath.org

(2006) „When Effect Sizes Disagree: The Case of r and d”. Psychological Methods 11 (4), 386–401. o. [2013. október 8-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.11.4.386. PMID 17154753. (Hozzáférés: 2021. január 9.)

books.google.com

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

doi.org

dx.doi.org

(2012) „On Effect Size”. Psychological Methods 17 (2), 137–152. o. DOI:10.1037/a0028086. PMID 22545595.
Wilkinson, Leland (1999). „Statistical methods in psychology journals: Guidelines and explanations”. American Psychologist 54 (8), 594–604. o. DOI:10.1037/0003-066X.54.8.594.
Nakagawa, Shinichi (2007). „Effect size, confidence interval and statistical significance: a practical guide for biologists”. Biological Reviews of the Cambridge Philosophical Society 82 (4), 591–605. o. DOI:10.1111/j.1469-185X.2007.00027.x. PMID 17944619.
(2008) „Accuracy of effect size estimates from published psychological research”. Perceptual and Motor Skills 106 (2), 645–649. o. [2008. december 17-i dátummal az eredetiből archiválva]. DOI:10.2466/PMS.106.2.645-649. PMID 18556917. (Hozzáférés: 2021. január 9.)
(2011) „Multiple trials may yield exaggerated effect size estimates”. The Journal of General Psychology 138 (1), 1–11. o. DOI:10.1080/00221309.2010.520360. PMID 21404946.
Sawilowsky, S (2009). „New effect size rules of thumb”. Journal of Modern Applied Statistical Methods 8 (2), 467–474. o. 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. o. 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. o. DOI:10.22237/jmasm/1067645940.
Cohen, J (1992). „A power primer”. Psychological Bulletin 112 (1), 155–159. o. DOI:10.1037/0033-2909.112.1.155. PMID 19565683.
(2003) „Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs”. Psychological Methods 8 (4), 434–447. o. [2010. június 10-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.8.4.434. PMID 14664681. (Hozzáférés: 2021. január 9.)
(2004) „Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis”. Psychological Methods 9 (2), 164–182. o. DOI:10.1037/1082-989x.9.2.164. PMID 15137887.
(2006) „When Effect Sizes Disagree: The Case of r and d”. Psychological Methods 11 (4), 386–401. o. [2013. október 8-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.11.4.386. PMID 17154753. (Hozzáférés: 2021. január 9.)
Larry V. Hedges (1981). „Distribution theory for Glass' estimator of effect size and related estimators”. Journal of Educational Statistics 6 (2), 107–128. o. DOI:10.3102/10769986006002107.
Del Giudice, Marco (2013. július 18.). „Multivariate Misgivings: Is D a Valid Measure of Group and Sex Differences?” (angol nyelven). Evolutionary Psychology 11 (5), 147470491301100. o. 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. o. DOI:10.1136/bmj.317.7166.1155a. PMID 9784470.
(2015) „Measuring Effectiveness”. Studies in History and Philosophy of Biological and Biomedical Sciences 54, 62–71. o. DOI:10.1016/j.shpsc.2015.06.003. PMID 26199055.
(1992) „A common language effect size statistic”. Psychological Bulletin 111 (2), 361–365. o. DOI:10.1037/0033-2909.111.2.361.
Kerby, D. S. (2014). „The simple difference formula: An approach to teaching nonparametric correlation”. Comprehensive Psychology 3, article 1. o. DOI:10.2466/11.IT.3.1.
Grissom RJ (1994). „Statistical analysis of ordinal categorical status after therapies”. Journal of Consulting and Clinical Psychology 62 (2), 281–284. o. DOI:10.1037/0022-006X.62.2.281. PMID 8201065.
(2000) „A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong”. Journal of Educational and Behavioral Statistics 25 (2), 101–132. o. DOI:10.3102/10769986025002101.
(1956) „Rank-biserial correlation”. Psychometrika 21 (3), 287–290. o. DOI:10.1007/BF02289138.
(1972) „Dealing with a common problem in social science: A simplified rank-biserial coefficient of correlation based on the U statistic”. European Journal of Social Psychology 2 (4), 463–465. o. DOI:10.1002/ejsp.2420020412.
Cliff, Norman (1993). „Dominance statistics: Ordinal analyses to answer ordinal questions”. Psychological Bulletin 114 (3), 494–509. o. DOI:10.1037/0033-2909.114.3.494.

ed.gov

ies.ed.gov

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

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

(2011) „Multiple trials may yield exaggerated effect size estimates”. The Journal of General Psychology 138 (1), 1–11. o. DOI:10.1080/00221309.2010.520360. PMID 21404946.

mtbradley.com

(2008) „Accuracy of effect size estimates from published psychological research”. Perceptual and Motor Skills 106 (2), 645–649. o. [2008. december 17-i dátummal az eredetiből archiválva]. DOI:10.2466/PMS.106.2.645-649. PMID 18556917. (Hozzáférés: 2021. január 9.)

nih.gov

ncbi.nlm.nih.gov

(2012) „On Effect Size”. Psychological Methods 17 (2), 137–152. o. DOI:10.1037/a0028086. PMID 22545595.
Nakagawa, Shinichi (2007). „Effect size, confidence interval and statistical significance: a practical guide for biologists”. Biological Reviews of the Cambridge Philosophical Society 82 (4), 591–605. o. DOI:10.1111/j.1469-185X.2007.00027.x. PMID 17944619.
(2008) „Accuracy of effect size estimates from published psychological research”. Perceptual and Motor Skills 106 (2), 645–649. o. [2008. december 17-i dátummal az eredetiből archiválva]. DOI:10.2466/PMS.106.2.645-649. PMID 18556917. (Hozzáférés: 2021. január 9.)
(2011) „Multiple trials may yield exaggerated effect size estimates”. The Journal of General Psychology 138 (1), 1–11. o. DOI:10.1080/00221309.2010.520360. PMID 21404946.
Cohen, J (1992). „A power primer”. Psychological Bulletin 112 (1), 155–159. o. DOI:10.1037/0033-2909.112.1.155. PMID 19565683.
(2003) „Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs”. Psychological Methods 8 (4), 434–447. o. [2010. június 10-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.8.4.434. PMID 14664681. (Hozzáférés: 2021. január 9.)
(2004) „Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis”. Psychological Methods 9 (2), 164–182. o. DOI:10.1037/1082-989x.9.2.164. PMID 15137887.
(2006) „When Effect Sizes Disagree: The Case of r and d”. Psychological Methods 11 (4), 386–401. o. [2013. október 8-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.11.4.386. PMID 17154753. (Hozzáférés: 2021. január 9.)
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. o. DOI:10.1136/bmj.317.7166.1155a. PMID 9784470.
(2015) „Measuring Effectiveness”. Studies in History and Philosophy of Biological and Biomedical Sciences 54, 62–71. o. DOI:10.1016/j.shpsc.2015.06.003. PMID 26199055.
Grissom RJ (1994). „Statistical analysis of ordinal categorical status after therapies”. Journal of Consulting and Clinical Psychology 62 (2), 281–284. o. DOI:10.1037/0022-006X.62.2.281. PMID 8201065.

nova.edu

cps.nova.edu

(2003) „Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs”. Psychological Methods 8 (4), 434–447. o. [2010. június 10-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.8.4.434. PMID 14664681. (Hozzáférés: 2021. január 9.)

statpower.net

(2004) „Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis”. Psychological Methods 9 (2), 164–182. o. 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. (Hozzáférés: 2008. október 8.)

wayne.edu

digitalcommons.wayne.edu

Sawilowsky, S (2009). „New effect size rules of thumb”. Journal of Modern Applied Statistical Methods 8 (2), 467–474. o. 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. o. 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. o. DOI:10.22237/jmasm/1067645940.

web.archive.org

(2008) „Accuracy of effect size estimates from published psychological research”. Perceptual and Motor Skills 106 (2), 645–649. o. [2008. december 17-i dátummal az eredetiből archiválva]. DOI:10.2466/PMS.106.2.645-649. PMID 18556917. (Hozzáférés: 2021. január 9.)
(2003) „Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs”. Psychological Methods 8 (4), 434–447. o. [2010. június 10-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.8.4.434. PMID 14664681. (Hozzáférés: 2021. január 9.)
(2006) „When Effect Sizes Disagree: The Case of r and d”. Psychological Methods 11 (4), 386–401. o. [2013. október 8-i dátummal az eredetiből archiválva]. DOI:10.1037/1082-989x.11.4.386. PMID 17154753. (Hozzáférés: 2021. január 9.)