I am investigating whether different reward conditions may affect task performance. I have data from a small study with two groups, each with n=20. I collected data on a task that involved performance in 3 different "reward" conditions. The task involved performance in each of the 3 conditions twice but in random order. I want to see if there is a mean difference in task performance for each group, in each of the different "reward" conditions.
- IV= Group type
- DV = mean measure of task performance across 3 conditions
I have output from a repeated measures ANOVA and access to the raw data set in SPSS but am unsure how to proceed. I haven't been able to find a step-by-step guide for this interpretation, as the Pallant text is somewhat limited. My particular issues are in the following areas:
- Do I check the normality of each of my variables individually or within combinations of each of the levels of the IV? If it within combinations, how do I check that?
- Do I check Mauchly's Test first? If it is violated, what does that mean? If it is not violated, what does that mean?
- When is it okay to look at the multivariate tests tables, or the tests of within-subjects effects? I'm not sure when it is appropriate to use either (or both?)?
- Is it always okay to look at the pairwise comparisons? It seems counterintuitive to do so if the multivariate or within-subjects effects don't indicate significance (ie P<0.05) but I am again unsure.