Which ANOVA involves two independent variables?

Which ANOVA involves two independent variables?

• A. Two-way ANOVA
• B. One-way ANOVA
• C. MANOVA
• D. Repeated measures ANOVA

Answer: (A)

Two independent variables require a two-way ANOVA. This approach is designed to evaluate how each factor individually affects the outcome and whether the effect of one factor depends on the level of the other (the interaction). For example, if you look at how treatment type and dosage level influence a response variable, two-way ANOVA lets you test the main effects of treatment and dosage as well as their interaction. One-way ANOVA uses just a single factor, MANOVA handles multiple dependent variables, and repeated measures ANOVA focuses on designs where the same subjects are measured under different conditions. By explicitly modeling two factors, two-way ANOVA is the method that matches the idea of two independent variables.

Two independent variables require a two-way ANOVA. This approach is designed to evaluate how each factor individually affects the outcome and whether the effect of one factor depends on the level of the other (the interaction). For example, if you look at how treatment type and dosage level influence a response variable, two-way ANOVA lets you test the main effects of treatment and dosage as well as their interaction. One-way ANOVA uses just a single factor, MANOVA handles multiple dependent variables, and repeated measures ANOVA focuses on designs where the same subjects are measured under different conditions. By explicitly modeling two factors, two-way ANOVA is the method that matches the idea of two independent variables.