Interaction of variables refers to the interplay of at least two independent variables on a third dependent, or outcome, variable. Interaction of variables can be considered in the context of different statistical tests including analysis of variance (ANOVA), multivariate analysis of variance (MANOVA), multiple linear regression analysis, and multilevel modeling. When there is an interaction of variables, it is referred to as an interaction effect. In the context of ANOVA, an interaction effect occurs when the effect of one independent variable on one dependent variable differs depending on the levels of a second independent variable. In the context of regression analysis, an interaction effect occurs when the impact of one independent variable varies over the range of the other independent variable. Examining data ...
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