Structural Equation Modeling: A First Course
This three-day course assumes no prior experience with SEM, and is intended as both a theoretical and practical introduction. An understanding of SEM will be developed by relating it to participants’ previous knowledge of multiple linear regression, and then by expanding it to allow for correlated and causally related latent constructs. We will start with path analysis among measured variables, move into confirmatory factor models, then structural models involving latent causality, and finally into multi-group models and a preview of more advanced topics. Examples from a variety of disciplines will be accompanied by example code and output from the Mplus software package. Throughout the course participants will be able to do practice exercises using Mplus; participants attending on-site are strongly encouraged to bring their own laptop PCs to do these exercises.
Structural Equation Modeling: A Second Course
This two-day course assumes experience with introductory level SEM, such as that provided in our first course (immediately preceding this course, or taken previously) or from a fairly typical university course exposure elsewhere. Content covered will draw, as time allows, from such topics as: latent means models, latent interactions, latent growth models, categorical data, complex samples / multilevel structural equation models, and power analysis in SEM. Although this material is necessarily more complex, it will be presented in an approachable hands-on manner for the applied researcher. Throughout the course participants will be able to do practice exercises using Mplus; participants attending on-site are strongly encouraged to bring their own laptop PCs to do these exercises.