Structural Equation Modeling
Statistical Workshop for East China Normal University
8:30-12:00AM,June 3 — 16,2015
Place: Room 102 Teaching Building 3(三教 102)
Instructor：
Shenyang Guo，PhD
Course Outline
1. Introduction toSEM and course overview
Overview of Mplus
2. Preliminaries（PartⅠ）
：Basic matrix algebra
3. Preliminaries（Part Ⅱ）
：Covariance algebra，correlation，and regression
4. Path analysis（PartⅠ）
5. Path analysis（Part Ⅱ）
6. Confirmatory factor analysis（Part）
7. Confirmatory factor analysis（Part Ⅱ）
8. General structural equation model（PartⅠ）
9. General structural equation model（Part Ⅱ）
10. General structural equation model（Part Ⅲ）
11. Critical review of SEM literature and statistical power analysis
12. Mean structure and latent growth curve models
13. Running SEM in conjunction with propensity score analysis
MTMM and correction of rate effects in panel date
14. Latent class analysis
About the Instructor：Shenyang Gou，Ph.D，is Frank J Bruno Distinguished Professor
of Washington University in St Louis. He is an expert on the application of advanced
statistical models to the solution of social welfare problems. Guo is the author (with
Mark Fraser) of Propensity Score Analysis: Statistical Methods and Applications,
Second Edition(2014), a comprehensive guide to the many ways that propensity
scores can be used to improve causal inference . Other books include Survival
Analysis (2010) and Structural Equation Modeling (2011) (with Natasha Bowen). He
has published more than 70 journal articles and book chapters. He is on the editorial
boards of Social Review, Journal of the Society for Social work and Research, and
Children and Youth Services Review. He teaches graduate courses on event history
analysis, hierarchical linear modeling, structural equation modeling, and program
evaluation. He has received awards for his teaching, including 2010 Distinguished
Teaching Award for Post-Baccalaureate Instruction, UNC at Chapel Hill.