Assessment, Statistics, and Research: MANCOVA

Thursday, January 14, 2021

Covariate

Covariate. A variable that is correlated with a dependent variable in a research study. When a covariate is identified and measured, the value of the dependent variable can be adjusted for the contribution of the covariate during data analysis.

Example: If researchers collect information on the variable age in a study about forgiveness and if age is related to forgiveness, then age can be treated as a covariate to identify how people scored on a forgiveness survey after the scores have been adjusted for age.

The word adjusted is a key word to look for in reading research that includes a covariate.

Procedures that include covariates are ANCOVA and MANCOVA.

Cite this post.

Sutton, G. W. (2021, January 14). Covariate. Statistics. https://statistics.suttong.com/2021/01/covariate.html

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MANCOVA

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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