Is there an interaction effect between teaching method and teach time?.Does teaching method affect exam scores?.Factors: teaching method, teaching timeĪnd he would like to answer the following questions:.In this case, he has the following variables: He uses two different teaching methods and two different teaching times (early morning and early afternoon) and records the average exam scores of each student at the end of the semester. She could use a factorial ANOVA for this analysis because she wants to understand how two factors affect a single response variable.Ī professor wants to understand how class time and teaching method affect exam scores. Is there an interaction effect between sunlight exposure and watering frequency?.Does watering frequency affect plant growth?.Does sunlight exposure affect plant growth?.Factors: sunlight exposure, watering frequencyĪnd she would like to answer the following questions:.In this case, she has the following variables: After three months, she records the height of each plant. She plants 100 seeds and lets them grow for three months under different conditions for sunlight exposure and watering frequency. ![]() Examples of Using a Factorial ANOVAĪ factorial ANOVA could be used in each of the following situations.Ī botanist wants to understand how sunlight exposure and watering frequency affect plant growth. Note: A two-way ANOVA is a type of factorial ANOVA. ![]() ![]() This tutorial provides several examples of situations where a factorial ANOVA may be used along with a step-by-step example of how to perform a factorial ANOVA. This type of ANOVA should be used whenever you’d like to understand how two or more factors affect a response variable and whether or not there is an interaction effect between the factors on the response variable. A factorial ANOVA is any ANOVA (“analysis of variance”) that uses two or more independent factors and a single response variable.
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