The statement that describes the second stage of the repeated-measures ANOVA is: <em>it removes individual differences from the denominator.</em>
The repeated-measures ANOVA is a two stage process that is described as analysis of dependencies. This test is used to prove an assumed cause-effect relationship between varaibles (dependent and independent).
The means across one or more variables which have repeated observations are compared using the repeated-measures ANOVA.
Total variability is divided into variability between and within treatments in the first stage of the repeated-measures ANOVA, while <em>the second stage removes individual differences from the denominator.</em>
