One-way ANOVA is used in designs with how many independent variables?

One-way ANOVA is used in designs with how many independent variables?

• A. One
• B. Two
• C. Three
• D. Four

Answer: (A)

One-way ANOVA examines a single factor that defines the groups. It tests whether the means differ across the levels of that one factor, essentially asking if there is any difference among the group means when you have just one independent variable. If there were two independent variables, you’d move to a two-way (or factorial) design to assess the effects of both factors and their interaction. So designs suited to one-way ANOVA have one independent variable. For example, comparing exam scores across four different teaching methods uses one factor with four levels.

One-way ANOVA examines a single factor that defines the groups. It tests whether the means differ across the levels of that one factor, essentially asking if there is any difference among the group means when you have just one independent variable. If there were two independent variables, you’d move to a two-way (or factorial) design to assess the effects of both factors and their interaction. So designs suited to one-way ANOVA have one independent variable. For example, comparing exam scores across four different teaching methods uses one factor with four levels.