(3 credits)This course introduces covariance structure analysis. It begins with the notion of a casual structure underlying a set of observable covariances. It will discuss the implications of random measurement error in linear regression models, the concept of unobservable variables, and review some of the elementary principles of classical test theory. Concepts will be applied using the popular AMOS structural equation modeling software.