Two-Way Analysis of Variance: Examining Influence of Two Factors on Criterion Variable
A two-way analysis of variance is a design with two factors where we intend to compare the effect of multiple levels of two factors simultaneously on criterion variable. The two-way ANOVA is applied in two situations: first, where there is one observation per cell and, second, where there is more than one observation per cell. In a situation where there is more than one observation per cell, it is mandatory that the number of observations in each cell must be equal. Using two-way ANOVA, where the number of observations per cell is more than one, facilitates us to test if there is any interaction between the two factors.