Alternately, you could use a two-way ANOVA to understand whether there is an interaction between physical activity level and gender on blood cholesterol concentration in children (i.e., your dependent variable would be "blood cholesterol concentration", measured on a continuous scale in mmol/L, 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"). 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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