ABSTRACT
In this chapter, we will introduce two complex difference statistics: factorial ANOVA and ANCOVA. Both factorial ANOVA and ANCOVA tell you whether considering more than one independent variable at a time gives you additional information over and above what you would get if you did the appropriate basic inferential statistics for each independent variable separately. Both of these inferential statistics have two or more independent variables and one scale (normally distributed) dependent variable. Factorial ANOVA is used when there is a small number of independent variables (usually two or three) and each of these variables has a small number of levels or categories (usually two to four).
