View source for Survey research and design in psychology/Tutorials/ANOVA/Effect size

<noinclude>==Effect size==</noinclude>
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ANOVAs in [[SPSS]] can provide the partial eta-square (<math>\eta^2_p</math>; although its labelled as eta-square). <math>\eta^2</math> (which is equivalent of ''R''<sup>2</sup> in MLR)  needs to be calculated manually from the output. This will help to explain the overall effects.

If you wish to discuss the size of effects between two means, then Cohen's ''d'' for each pairwise contrast of interest should be provided.

Calculate and interpret all [[effect size]]s that can enhance understanding of the data in relation to the hypothesis or research question.
;Eta-square: Percentage of variance explained by one or more IVs
#[[Effect size#Eta-square|Eta-square]]: Calculation of overall <math>\eta^2</math> needs to be done manually.
# Partial eta-square: Calculation is via PASW Analyze - (Type) - Options - Effect size
;Cohen's ''d'': Standardised mean difference between two means
# [[Cohen's d]]: Calculate using a spreadsheet calculator
# [http://wilderdom.com/301/Cohensd.xls Cohen's d.xls]
;See also
# [[Statistical power]]
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[[Category:Survey research and design in psychology/Tutorials/ANOVA]]</noinclude>