Effect size estimates: Current use, calculations, and interpretation.
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Cites background from "Effect size estimates: Current use,..."
...Fritz, Morris, and Richler (2012) discussed a range of ES measures, especially in the context of multiway designs, with an emphasis on practical use and interpretation....
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Cites background or methods from "Effect size estimates: Current use,..."
...A way out of this problem is to calculate the partial eta-squared statistic ( ), ηp 2 where a given factor is seen as playing a role in explaining the portion of variance in the dependent variable provided that other effects (factors) present in the analysis have been excluded [6]....
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...The formula used in computing the point-biserial correlation coefficient is presented below [1, 6, 19]:...
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...As reporting effect size estimates is beneficial in more than one way, below we list the benefits that seem most fundamental [6, 12, 14, 15, 16, 17, 18]: 1....
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...Below we present the formulae for such calculations [1, 6]:...
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...For another non-parametric test, the Wilcoxon signedrank test for paired samples, again, the Z-score may be used to calculate correlation coefficients employing the formula given below (where n is the total number of observations on which Z is based) [6]....
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References
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"Effect size estimates: Current use,..." refers background or methods in this paper
...Data are from Grissom (1994) and Cohen (1988); they assume similar sample sizes. p 2 SSeffect SSeffect SSerror ....
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...The z value can be used to calculate an effect size, such as the r proposed by Cohen (1988); Cohen’s guidelines for r are that a large effect is .5, a medium effect is .3, and a small effect is .1 (Coolican, 2009, p. 395)....
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...…for the multiple comparisons by the square root of the MSE (Grissom & Kim, 2005): sAB MSE In an attempt to help with the interpretation of d, Cohen (1988) suggested that d values of .8, .5, and .2 represented large, medium, and small effect sizes, respectively, perhaps more meaningfully…...
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...…guide appears in the Appendix along with mention of planning sample sizes based on accuracy in 1 It is rarely the case that experimental studies have the problem of too many cases making trivial effects statistically significant, but some largescale surveys and other studies with very large…...
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...Cohen (1988), Keppel and Wickens (2004), and most statistical textbooks provide guidance on calculating power; a very brief, elementary guide appears in the Appendix along with mention of planning sample sizes based on accuracy in 1 It is rarely the case that experimental studies have the problem…...
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