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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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