In which of the following statistical analyses do we have more than one dependent/outcome variable?

Correct option is C

-Multi-variate analysis of variance (MANOVA) is used when there are more than one dependent or outcome variables.
-MANOVA extends ANOVA by considering multiple dependent variables simultaneously, allowing researchers to assess the effect of independent variables on multiple outcomes at once.

Information Booster:

-MANOVA allows for the testing of multiple dependent variables while controlling for correlation among them.
-This technique helps researchers identify if the independent variable(s) have significant effects across several outcome measures.
-In contrast to ANOVA, which handles only one dependent variable, MANOVA provides a more comprehensive understanding of the effects of independent variables.
-MANOVA is particularly useful in studies where the dependent variables are interrelated and can help in reducing the Type I error by considering the dependent variables together.
-MANOVA involves both multivariate hypothesis testing and post-hoc analysis for interpreting the relationships between the independent and dependent variables.

Additional Knowledge:

-Option (a): Simple regression involves a single dependent variable and is used to examine the relationship between one independent and one dependent variable.
-Option (b): Multiple regression still involves only one dependent variable, but it accounts for multiple independent variables.
-Option (d): Three-way analysis of variance (3-way ANOVA) involves three independent variables but focuses on one dependent variable.