In a factorial design, the number of independent variables indicates the number of potential main effect hypotheses, and there are as many interaction effect hypotheses as:
A) you have combinations of levels of dependent variables.
B) you have combinations of main effects.
C) you have combinations of independent variables.
D) you have combinations of dependent variables.

Question

Quizplus · Accepted Answer

In a factorial design, interaction effect hypotheses are based on the combinations of independent variables, not dependent variables or main effects. Each combination of independent variables can potentially interact in a way that affects the dependent variable, leading to the formulation of interaction hypotheses.

In a Factorial Design, the Number of Independent Variables Indicates