EPSY 579 SEM - Structural Equation Modeling
Structural Equation Modeling (SEM) is a general class of multivariate techniques that models relationships between latent variables and observed variables (-measurement models-) and relationships among latent variables (-structural models-) simultaneously. Students will learn the theoretical background of SEM as well as the techniques using programming language R. Topics covered in this class include mediation/moderation model; confirmatory factor analysis; model fit evaluation; multi-group SEM; latent growth modeling; MTMM model; and SEM with categorical variables. Course Information: 4 graduate hours. No professional credit. Prerequisite: EPSY 580 and EPSY 581; or Equivalents.
Synchronous attendance preferred but not required. Piazza LMS, delivered on Zoom.
Option 1Number of Required Visit(s): 0
Course Level: Graduate