ABSTRACT
In this chapter we discuss how to analyze and interpret the mixed factorial design. Previously, we defined the mixed design as a design that has a minimum of two independent variables. One of the independent variables must be a between groups independent variable. The other independent variable must be a within subjects independent variable. Sometimes mixed designs have more than two independent variables. For example, a mixed design might have three independent variables, with two between groups independent variables and one within subjects independent variable. Or, a mixed design might have three independent variables, with one between groups independent variable and two within subjects independent variables. However, the minimum requirement still holds: there must be at least one between groups independent variable and one within subjects independent variable for the design to be a mixed design. Because mixed designs are the most complex designs that we have covered, we limit our discussion to the simplest mixed design, a design with one between groups independent variable and one within subjects independent variable. This design is often referred to as a two-factor design with repeated measures on the second factor.
