repeated measures factor) and m = # of subjects.įigure 2 – Sources of Variation Data Analysis Tool Here a = # of Factor A levels, b = # of Factor B levels, c = # of Factor C (within-subjects, i.e. Note that the data in range A1:F41 is reformatted in the figure for ease of display.įigure 1 – Data for Repeated Measures ANOVA 1W+2B This time there are two between-subjects factors Age (Young and Old) and Gender (Male and Female) and one between-subjects factor Time (Day1, Day2, Da圓 and Day4) based on the data in Figure 1. ExampleĮxample 1: We consider the situation similar to that in Example 22.8.
We also won’t explore follow-up testing since these are described extensively elsewhere ( click here or here for more details). We will assume that the sphericity assumption has been met and so won’t deal with correction factors. On this webpage, we will focus on repeated measures ANOVA where there are two between-subjects factors and one within-subjects factor.
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