A means of comparing multiple levels of two independent variables. The two-way ANOVA is grounded in the idea that there are two variables, referred to as factors, affecting the outcome of the dependent variable. To be effective, a two-way ANOVA assumes population samples are normally distributed, independent, equal in variance, and contain sample groups of equal size.