Analysis of covariance

Document Type

Article

Publication Date

8-23-2018

Abstract

This chapter presents analysis of covariance from an applied perspective. A descriptive overview of the analysis of covariance model is provided, and its relationship to analysis of variance models and regression models is discussed. A series of examples illuminates certain problems that can occur when analysis of variance, based only on classification treatment effects, is used to analyze experimental data, and how analysis of covariance can be used to alleviate these problems and improve model performance and the quality of analyses by increasing power, improving precision, and reducing bias. From these examples, this chapter develops a general approach for performing analysis of covariance. Analysis of covariance is then used to analyze data from an actual field trial.

Publication Source (Journal or Book title)

Applied Statistics in Agricultural, Biological, and Environmental Sciences

First Page

235

Last Page

277

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