Course Description
Advanced topics in structural equation modeling, including multiple group analyses, latent growth models, categorical variable analyses, and multiple imputation methods for handling missing data. Students will become familiar with the current research and applications in these areas and computer software for implementing them.
Athena Title
ADVANCED SEM
Prerequisite
ERSH 8750
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
1. Read and understand advanced Structural Equation Modeling (SEM) applications. 2. Judge the technical quality of advanced SEM applications. 3. Critically review SEM articles for journals that include advanced applications. 4. Correctly carry out and interpret advanced SEM analyses. 5. Be familiar with current issues in the SEM field. 6. Be able to debug SEM programs.
Topical Outline
Multiple group analysis Latent growth curve modeling Latent variable Interaction models Analyses with missing data Growth mixture models Categorical data analysis Simulation studies in SEM
Syllabus
Public CV