An interaction signifies that the effect of one of the two independent variables on the dependent variable is dependent on the other independent variable.įor example, you could use a two-way ANOVA to understand whether there is an interaction between physical activity level and gender on stress level (i.e., your dependent variable would be "stress score", measured on a continuous scale, and your independent variables would be "physical activity level", which has three groups – "low", "moderate" and "high" – and "gender", which has two groups: "males" and "females"). ![]() The common goal of a two-way ANOVA is to establish if there is an interaction between the two independent variables on the dependent variable. ![]() In this sense, it is an extension of the one-way ANOVA. The two-way ANOVA compares the effect of two categorical independent variables (called between-subjects factors) on a continuous dependent variable.
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