Which statistical test is used when there are two or more dependent variables?

Which statistical test is used when there are two or more dependent variables?

• A. MANOVA
• B. ANOVA
• C. Chi-square
• D. Regression

Answer: (A)

When two or more outcomes are being examined, analyze them together as a set rather than separately. This is done with a multivariate analysis of variance, which tests whether the combined means of the dependent variables differ across groups. By evaluating the outcomes as a vector, MANOVA accounts for how the variables relate to each other and avoids inflating false positive rates that would come from running multiple separate analyses. If there’s only one dependent variable, you’d use ANOVA. Chi-square handles categorical data, and regression is about predicting a dependent variable from predictors (and is not the standard choice for comparing group differences across several outcomes at once). So for two or more dependent variables, MANOVA is the appropriate test.

When two or more outcomes are being examined, analyze them together as a set rather than separately. This is done with a multivariate analysis of variance, which tests whether the combined means of the dependent variables differ across groups. By evaluating the outcomes as a vector, MANOVA accounts for how the variables relate to each other and avoids inflating false positive rates that would come from running multiple separate analyses. If there’s only one dependent variable, you’d use ANOVA. Chi-square handles categorical data, and regression is about predicting a dependent variable from predictors (and is not the standard choice for comparing group differences across several outcomes at once). So for two or more dependent variables, MANOVA is the appropriate test.