Factorial ANOVA is a useful statistical method that helps researchers control outside factors in their studies. It involves running two ANOVA tests at once and looking at how different variables interact with each other. By analyzing row effects, column effects, and interaction effects, researchers can better understand their data. This method is especially helpful in complex experimental designs.