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The dependent variable was cholesterol (i.e., cholesterol concentration in the blood). The two independent variables are drug with two levels (“Current” and “Experimental”) and risk with two levels (“Low” and “High”). The goal was for the drugs to lower cholesterol concentration in the blood. The researchers also wanted to understand how the drugs compared in low and high-risk elderly patients.

One of the drugs was the current drug being used to treat heart disease and the other was an experimental drug that the researchers wanted to compare to the current drug. For example, consider an experiment where two drugs were being given to elderly patients to treat heart disease. Furthermore, it is worth noting that the two-way ANOVA is also referred to as a “factorial ANOVA” or, more specifically, as a “two-way between-subjects ANOVA”.Ī two-way ANOVA can be used in a number of situations. Note: It is quite common for the independent variables to be called “factors” or “between-subjects factors”, but we will continue to refer to them as independent variables in this guide.

In many ways, the two-way ANOVA can be considered as an extension of the one-way ANOVA, which deals with just one independent variable rather than the two-way independent variables of the two-way ANOVA.

The two-way ANOVA is used to determine whether there is an interaction effect between two independent variables on a continuous dependent variable (i.e., if a two-way interaction effect exists).