In a two-way ANOVA, differences among row means are used to assess the interaction effect.

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In a two-way ANOVA, the interaction effect is assessed by examining whether the effect of one independent variable on the dependent variable differs across the levels of the other independent variable, not merely by differences among row means. Differences among row means are used to assess the main effects of each independent variable.

In a Two-Way ANOVA, Differences Among Row Means Are Used