MANCOVA
Encyclopedia
Multivariate analysis of covariance (MANCOVA) is an extension of analysis of covariance (ANCOVA
) methods to cover cases where there is more than one dependent variable and where the dependent variables cannot simply be combined.
Multiple analysis of covariance (MANCOVA) is similar to multiple analysis of variance (MANOVA) , but allows you to control for the effects of supplementary continuous independent variables - covariates. If there are some covariates, MANCOVA should be used instead of MANOVA
.
Covariates are variables which have effects on the dependent variables. In experimental design, covariates are usually the variables not controlled by the experimenter, but still having an effect on the dependent variables.
ANCOVA
In statistics, analysis of covariance is a general linear model with a continuous outcome variable and two or more predictor variables where at least one is continuous and at least one is categorical . ANCOVA is a merger of ANOVA and regression for continuous variables...
) methods to cover cases where there is more than one dependent variable and where the dependent variables cannot simply be combined.
Multiple analysis of covariance (MANCOVA) is similar to multiple analysis of variance (MANOVA) , but allows you to control for the effects of supplementary continuous independent variables - covariates. If there are some covariates, MANCOVA should be used instead of MANOVA
MANOVA
Multivariate analysis of variance is a generalized form of univariate analysis of variance . It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable have significant effects on the dependent variables; 2. what are the interactions...
.
Covariates are variables which have effects on the dependent variables. In experimental design, covariates are usually the variables not controlled by the experimenter, but still having an effect on the dependent variables.
See also
- Discriminant function analysisDiscriminant function analysisDiscriminant function analysis is a statistical analysis to predict a categorical dependent variable by one or more continuous or binary independent variables. It is different from an ANOVA or MANOVA, which is used to predict one or multiple continuous dependent variables by one or more...
- ANCOVAANCOVAIn statistics, analysis of covariance is a general linear model with a continuous outcome variable and two or more predictor variables where at least one is continuous and at least one is categorical . ANCOVA is a merger of ANOVA and regression for continuous variables...
- MANOVAMANOVAMultivariate analysis of variance is a generalized form of univariate analysis of variance . It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable have significant effects on the dependent variables; 2. what are the interactions...