Grasple Repeated Measures ANOVA - the sphericity assumption
6 important questions on Grasple Repeated Measures ANOVA - the sphericity assumption
Assumptions for repeated measures ANOVA (4)
- Measurement levels: the independent variables are categorical, the dependent variable is continuous
- No outliers on the dependent variable
- Normality: the residuals are normally distributed for every group
- Sphericity: the variances of all difference scores are equal.
Checking for sphericity can be done in two ways:
- You can manually compute the difference scores and their variances. This is nice for eyeballing if they are about the same, but in this case somewhat cumbersome (=extra work).
- You can check for sphericity using Mauchly's Test.
Mauchly's Test for Sphericity a significant p-value means?
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If the assumption of sphericity is not met, there are several options:
- Greenhouse-Geisser correction
- Huynh-Feldt correction
- MANOVA on the difference scores
What does the Greenhouse-Geisser and Huynh-Feldt corrections correct for?
Rule of thumb Epsilson
For values above .75, you can use the Huynh-Feldt correction.
You probably noticed that there are three Epsilons. You can simply look at the largest one.
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