Factorial designs are a type of study design in which the levels of two or more independent variables are crossed to create the study conditions. For example, if there are two independent variables A and B, each of which have two levels (A1, A2, B1, B2), there will be four study conditions made up of all possible combinations of the levels of the independent variables. Because of this crossed design, studies with factorial designs enable researchers to examine both the independent and interactive effects of the independent variables on a dependent variable.
This entry begins with a discussion of the advantages of factorial designs and the notation used to describe them. Next, it explains the kinds of questions that can be answered from ...
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