How does factorial ANOVA differ from one-way ANOVA?
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Factorial ANOVA is used to analyze the effects of two or more independent variables on a dependent variable, allowing researchers to see how these factors interact with each other. one-way ANOVA examines only one independent variable, making it simpler but less comprehensive in understanding complex relationships.
Factorial ANOVA differs from one-way ANOVA in that factorial ANOVA examines the effects of two or more independent variables simultaneously, allowing for interaction effects, while one-way ANOVA analyzes the impact of a single independent variable on a dependent variable.