Which of the following is NOT a type of effect that can be observed in a two-way factorial design?

In a two-way factorial design, researchers examine the effects of two independent variables on a dependent variable. There are typically two main types of effects that can be analyzed: main effects and interaction effects.

A main effect refers to the impact of one independent variable on the dependent variable, averaging across the levels of the other independent variable. An interaction effect occurs when the effect of one independent variable on the dependent variable varies depending on the level of the other independent variable. By assessing both of these effects, researchers can gain a deeper understanding of how variables may work both independently and together.

The term "dependent effect" does not represent a recognized or valid effect type in the context of a two-way factorial design. Therefore, identifying this term as NOT a type of effect aligns with the understanding of the statistical methods taught in the course. Main and interaction effects are central to analyzing data from a factorial design, while "dependent effect" does not fit within this framework.