In a factorial ANOVA, interaction effects refer to
A) the effects due the different levels of an independent variable.
B) the case in which there is more than one main effect.
C) the case in which one independent variable is affected by different levels of other independent variables.
D) how the dependent variable is influenced by an independent variable.

Question

Quizplus · Accepted Answer

Interaction effects refer to the case in which one independent variable is affected by different levels of other independent variables. It is not merely the effects due to different levels of one independent variable (A), nor is it the case in which there is more than one main effect (B). The dependent variable is influenced by the independent variables in general, not specifically by one independent variable (D).

In a Factorial ANOVA, Interaction Effects Refer to