I am doing an RM anova, to compare repeated measures of 3 subjects in 4 different conditions. In the sphericity check, only the 4th condition is violated. I understand then that I must do a Welch anova.
Would it be correct in this case to perform only the Welch Anova for condition 4 and report the results of the other 3 conditions according to the RM Anova analysis?
Would there be any particularity in this case in writing the results? I'm wondering if I should put any specific mention or simply describe how the tests that have been carried out are normally done.
Sphericity violation in RM Anova
Re: Sphericity violation in RM Anova
Hi.
It is not possible to calculate sphericity separately for each of the levels of your four-level repeated-measures ANOVA. Sphericity is a characteristic of the entire model, not of any particular level of the repeated-measures factor.
Also, Welch's ANOVA is for between-subjects factors only. it cannot be applied to a repeated-measures factor.
Regarding assumption-violation more generally, I would see the following:
https://forum.cogsci.nl/discussion/8822 ... and-levene
viewtopic.php?t=2731
It is not possible to calculate sphericity separately for each of the levels of your four-level repeated-measures ANOVA. Sphericity is a characteristic of the entire model, not of any particular level of the repeated-measures factor.
Also, Welch's ANOVA is for between-subjects factors only. it cannot be applied to a repeated-measures factor.
Regarding assumption-violation more generally, I would see the following:
https://forum.cogsci.nl/discussion/8822 ... and-levene
viewtopic.php?t=2731
Re: Sphericity violation in RM Anova
I confused the concept, I wanted to refer to the homogeneity of variances when I talked about sphericity...
Re: Sphericity violation in RM Anova
OK. But the 'homogenous variance' assumption doesn't apply to repeated-measures factors (it only applies to between-subject factors). And even if you had a between-subject design rather than a repeated-measures design, it would make no sense to ask whether there is a significant difference between the variance in Condition A and the variance in Condition A--they're the same condition. Thus, equal (homogeneous) variance can only occur across multiple conditions.