Anova results

The Sum of Squares for the Main Effects in a Type II ANOVA do not take the respective interaction terms into account while a Type III does. Thus, the estimates of the main effects in a Type III ANOVA are mathematically/statistically valid even if the interaction term is significant, while they are not for a Type II ANOVA. Some statisticians have argued that this is a moot point because you cannot interpret your main effects if an interaction term exists anyway- that’s precisely what a significant interaction term is telling you, the outcome depends on the level of both factors in a non-additive way. Thus, some people argue that Type II ANOVAs are superior because they have more power, and anything with a significant interaction term should be re-examined in a different way.

Anova results

anova results

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