Abstract
The last four columns discussed the analysis of singlefactor designs, which included only one independent and one dependent variable. However, many studies have some analyses with more than one independent variable. In this column, we introduce an example of a study with a second between-groups independent variable, discuss the advantages of analyzing more than one independent variable at a time, and demonstrate how between-groups factorial designs are analyzed and interpreted. Between-groups designs are distinguished by each participant’s being included in only one group in the study. In the next column, we continue our discussion of factorial designs by introducing a repeated-measures independent variable as the second independent variable, creating a mixed design.
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