A factorial ANOVA is characterized by what?

A factorial ANOVA is characterized by what?

• A. More than one factor with more than one level
• B. Repeated measures ANOVA
• C. One-factor ANOVA
• D. Two-way ANOVA

Answer: (A)

In a factorial ANOVA, you study more than one independent variable (factor), and each factor has more than one level. This setup lets you examine the separate impact of each factor on the dependent variable (main effects) and whether the effect of one factor changes across levels of another (interaction). When there are two factors, the design is commonly called a two-way ANOVA, but factorial covers any situation with multiple factors. If you have only one factor, you’d use a one-way ANOVA. Repeated measures ANOVA focuses on the same participants being measured across conditions, which is a different dimension than simply having multiple factors; factorial designs can be combined with repeated measures, but the defining feature here is multiple factors with multiple levels.

In a factorial ANOVA, you study more than one independent variable (factor), and each factor has more than one level. This setup lets you examine the separate impact of each factor on the dependent variable (main effects) and whether the effect of one factor changes across levels of another (interaction). When there are two factors, the design is commonly called a two-way ANOVA, but factorial covers any situation with multiple factors. If you have only one factor, you’d use a one-way ANOVA. Repeated measures ANOVA focuses on the same participants being measured across conditions, which is a different dimension than simply having multiple factors; factorial designs can be combined with repeated measures, but the defining feature here is multiple factors with multiple levels.