Is two-way repeated measures ANOVA the right way to analyze my data?
Before recalculating results, first consider whether repeated-measures two-way ANOVA is the best way to analyze your data. I think this method is overused by biologists when one of the factors is time or concentration. Detailed explanation The post tests compare the difference between two group means with the square root of an appropriate Mean Square (MS) value from the ANOVA table, taking into account the corresponding number of degrees of freedom (DF). Prism only offers post tests comparing two columns at a certain row, but the repeated measures factor can be by row or by column. When each column represents a different time point, there is no bug. You are looking at one treatment (for each post test) and comparing two time points. This is sort of like a paired t test. In this case, the ANOVA table partitions the overall variation into that due to the treatment factor, that due to the repeated measurement factor, that due to variation between subjects, and remaining experimental (resi
