ABSTRACT

Key Concepts Establishing reliability and validity when measuring multiple traits and methods Second-order factors Main effects and interaction effects Types of interaction effects: continuous nonlinear, categorical, latent variable Longitudinal data analysis using growth curve models Dynamic models: measuring factors over time

In the previous chapter we learned about five different types of structural equation modeling applications. In this chapter we present additional applications that expand our toolkit of SEM models. Be aware that our discussion will only scratch the surface of the many exciting new developments in structural equation modeling (see, e.g., Marcoulides & Schumacker, 1996, 2001; Schumacker & Marcoulides, 1998). In addition, the newest versions of Amos, EQS, and LISREL include these capabilities with software examples and further explanations. Our intention is to provide a basic understanding of these topics to further your interest in the structural equation modeling approach. We include computer program examples to better illustrate each topic.