Two Way Repeated Measures Anova Assumptions. The Two-Way Repeated-Measures ANOVA compares the scores in the different conditions across both of the variables as well as examining the interaction between them. Difference scores computed between two levels of a within-subjects factor must have the same variance for the comparison of any two.
Difference scores computed between two levels of a within-subjects factor must have the same variance for the comparison of any two. So read the general page on interpreting two-way ANOVA results first. The repeated measures ANOVA can also be used to compare different subjects but this does not happen very often.
All samples are drawn independently of each other.
To use the ANOVA test we made the following assumptions. The repeated measures ANOVA makes the following assumptions about the data. Grams milligrams Your two independent variables here month and gender should be in categorical independent groups. We talk about the two-way repeated measures ANOVA only requiring approximately normal data because it is quite robust.
