The statement that describes the second stage of the repeated-measures ANOVA is: it removes individual differences from the denominator.
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 the second stage removes individual differences from the denominator.
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