PYB210 Lecture Notes - Lecture 9: Negative Number, Analysis Of Variance, Sleep Deprivation
24 Oct 2013
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Effect size: eta squared (r2, omega squared, pasw/spss. A significant f simply tells us that there is a difference between means. It does not tell us how big this difference is or how important this effect is. An f that is significant at 0. 01 does not necessarily imply a bigger or more important effect size than an f significant at 0. 05. This is because the significance of f is dependent on the sample size and the number of conditions. Therefore, we need a statistics which summarizes the strength of the treatment effect: eta squared ( 2) = r2, omega squared ( 2) Both of these indicate the proportion of the total variability in the data accounted for by the effect of the iv. Eta squared or 2 treats our anova data as though it came from a correlation study. 2 is simply the squared correlation coefficient from a regression on this data a. k. a. it is r2.
