Multivariate Analysis of Covariance
The objective of multivariate analysis of covariance is to determine if there are statistically reliable mean differences that can be demonstrated among groups after adjusting the newly created variable (dependent variable) for differences on one or more covariates. When randomization assignment of samples or subjects to groups is not possible, multivariate analysis of covariance (MANCOVA) provides statistical matching of groups by adjusting dependent variables as if all subjects scored the same on the covariates.
KeywordsCovariance Matrix Likelihood Ratio Test Covariance Matrice Group Regression Multiple Covariates
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