In the second stage of analysis for the repeated-measures ANOVA,individual differences are removed from the denominator of the F-ratio.

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In the second stage of repeated-measures ANOVA analysis, individual differences are removed by dividing the mean square for the effect of interest (such as a treatment or condition) by the mean square error term, which does not include individual differences. This produces an F-ratio that tests whether the effect of interest is larger than would be expected by chance, after accounting for individual variability. Therefore, the denominator of the F-ratio is reduced by removing individual differences.

In the Second Stage of Analysis for the Repeated-Measures ANOVA,individual