An interaction effect in a factorial design is
A) a type of experimenter expectancy effect that arises because of the interaction between the experimenter and the research participants.
B) an unanticipated effect that emerges from the study, in contrast to an effect that has been hypothesized in advance.
C) an outcome that occurs when two or more independent variables combine to produce an effect over and above their independent effects.
D) the effect that one independent variable has independently of the effect of the other independent variable.

Question

Quizplus · Accepted Answer

An interaction effect occurs when the combination of two or more independent variables produces an effect that is different from what would be expected based on the independent effects of each variable alone. This is a common outcome in factorial designs, where multiple independent variables are manipulated to see how they interact with each other to affect the dependent variable. Options A and B are incorrect because they do not accurately describe an interaction effect, and option D is incorrect because it describes a main effect, not an interaction effect.

An Interaction Effect in a Factorial Design Is