Analysis of covariance (ANCOVA) is a statistical procedure that forms part of the general linear model. Indeed, it can be thought of as a combination of two other methods within this family of statistical models: analysis of variance (ANOVA) and linear regression. It represents the inclusion of a continuous predictor variable (covariate) within a standard ANOVA model, such that values on the outcome variable within the model are adjusted for values on the covariate. There are two main objectives of ANCOVA. First, it can be used in experimental designs to remove the effect of one or more confounding variables. Second, it serves to increase the sensitivity of a statistical test of the experimental factor in the statistical model. This entry discusses the form of the ...
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