If the interaction is not significant, the main effects can be interpreted as if they came from a one-way ANOVA.

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When the interaction effect is not significant in a factorial ANOVA, it suggests that the effect of one independent variable on the dependent variable is consistent across the levels of the other independent variable. Therefore, the main effects of each independent variable can be interpreted independently, similar to how they would be in a one-way ANOVA.

If the Interaction Is Not Significant, the Main Effects Can