chapter  12
Multiple Regression/Correlation and Causal Models
Pages 27

Necessarily, a chapter-length presentation of causal analysis cannot begin to do justice to the subject matter in its entirety. Therefore, this chapter will be limited to these three relatively modest goals: to introduce readers to the concepts and terminology used in causal analyses, to provide some techniques and illustrations for the simpler procedures, and to present a glimpse of the variety of options available to the data analyst whose goal is illumination of a theory by the full extraction of the information contained in an appropriate data set. We begin by examining the models that are implicit in the special case of MRC that is represented by the analysis of covariance.