Which term denotes an analysis of variance involving two or more independent variables or predictors?

Which term denotes an analysis of variance involving two or more independent variables or predictors?

• A. Factorial ANOVA
• B. Falsification
• C. Fit
• D. Fisher's exact test

Answer: (A)

Factorial ANOVA is used when you have two or more independent variables and want to examine their effects on a dependent measure. It generalizes one-way ANOVA by including multiple factors, enabling you to assess the main effects of each predictor and potential interactions between predictors—whether the effect of one factor depends on the level of another. This capability to analyze multiple predictors and their interaction is what this analysis is designed to do. Other terms don’t describe this design: falsification is about testing theories by attempting to refute them; a fit or model fit idea concerns how well a model matches the data rather than the structure of the experimental design; Fisher's exact test is for small contingency-table data, not an ANOVA with multiple predictors.

Factorial ANOVA is used when you have two or more independent variables and want to examine their effects on a dependent measure. It generalizes one-way ANOVA by including multiple factors, enabling you to assess the main effects of each predictor and potential interactions between predictors—whether the effect of one factor depends on the level of another. This capability to analyze multiple predictors and their interaction is what this analysis is designed to do. Other terms don’t describe this design: falsification is about testing theories by attempting to refute them; a fit or model fit idea concerns how well a model matches the data rather than the structure of the experimental design; Fisher's exact test is for small contingency-table data, not an ANOVA with multiple predictors.