MANCOVA (Multivariate Analysis of Covariance). A statistical procedure for analyzing results when there are one or more independent variables, two or more dependent variables, and one or more covariates.
Basic components of MANCOVA
Independent or grouping Variable = 1 or more
Dependent or criterion Variable = 2 or more
Covariates = 1 or more
Overall tests are used to determine significant effects or differences among the grouping variables.
An F test indicates significance overall and for specific effects or relationships.
A commonly reported measure of effect size is eta squared.
A p value reveals the probability of a significant relationship-- one that is not due to chance factors.
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