Hi,
I'm analyzing a set of data with the following: Group: exp vs control, "stage" 1 vs 2, time point: baseline, 1, 10, and time of day: AM vs PM. Both groups underwent each of the conditions. In actuality, I have 6 different DVs all measured at the same time, but I'm focusing on 1 particular DV currently. I would like to test for differences within the exp group, during both stages, in both AM and PM during all 3 testing time points. Then, I would like test for differences between stages and am vs pm within each group. Finally, I would like to test if each respective stage and time of night is different from the control group. The between measures only need to tests for: "is stage 1 different between groups, at each testing timepoint (e.g. Baseline vs baseline, 1 v 1, 2 v 2)? Is this possible, or are several tests required?
Before you test for differences between stages and am vs pm, and test for differences between exp and control, you will have to run an ANOVA (on the relevant DV(s)) with 1 Between factor: Group (2 levels: exp vs control) and 2 Within (repeated measures) factors: Stages (baseline, 1, 10) and Time_of_day (am vs pm). Only when there are significant effects and or interactions, you can go on, preferably with post hoc analyses. Before you run the ANOVA, check the distributions for normality and homogeneity of variances, with the Shapiro test and Levene test, and a visual inspection of the histograms.
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