Introduction to Structural Equation Modeling, 7.5 credits

Content

The course aims to provide specific and in-depth skills in the application of structural equation modeling (SEM) using the statistical program MPlus. The course is aimed at  postgraduate students with prior knowledge of classical inferential statistics and linear analysis methods, especially regression.

The focus will be on identifying, estimating and evaluating the most common types of models within the SEM framework for both cross-sectional and longitudinal data. The  course includes, among other things, confirmatory factor analysis, path analyses,  growth analyzes and mixture models. Formulation and identification of models,  stimation and interpretation of parameters, statistical assumptions, and model comparisons are further intended to be covered in the course. Application takes place in the form of computer exercises, with a particular focus on training practical skills in using the statistics program Mplus. Opportunities for students to apply analysis
to their own data will also be provided. 

Credits:  7,5 credits

Course responsible: Professor Hugo Hesser,

Course administrator:

NB: Schedule uppdated January 10th and March 20th. 

Application closed.