Structural Equation Modeling
Statistical Workshop for East China Normal University
June 3 — 16,2015
Place: Room 102 TeachingBuilding 3(三教102)
Instructor：
ShenyangGuo，PhD
Course Outline
IntroductiontoSEM and course overview
Overview of Mplus
Preliminaries（PartⅠ）：Basic matrix algebra
Preliminaries（Part Ⅱ）：Covariance algebra，correlation，and regression
Pathanalysis（PartⅠ）
Path analysis（Part Ⅱ）
Confirmatoryfactor analysis（Part）
Confirmatoryfactor analysis（Part Ⅱ）
Generalstructural equation model（PartⅠ）
Generalstructural equation model（Part Ⅱ）
Generalstructural equation model（Part Ⅲ）
Criticalreview of SEM literature and statistical power analysis
Meanstructure and latent growth curve models
RunningSEM in conjunction with propensity score analysis
MTMM and correction of rateeffects in panel date
Latentclass analysis
About the Instructor：Shenyang Gou，Ph.D，is Frank J Bruno Distinguished Professor of Washington University in StLouis. He is an expert on the application of advanced statistical models to thesolution of social welfare problems. Guo is the author (with Mark Fraser) of Propensity Score Analysis: StatisticalMethods and Applications, Second Edition(2014), a comprehensive guide tothe 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 bookchapters. He is on the editorial boards of SocialReview, Journal of the Society for Social work and Research, and Children and Youth Services Review. Heteaches graduate courses on event history analysis, hierarchical linear modeling,structural equation modeling, and program evaluation. He has received awardsfor his teaching, including 2010 Distinguished Teaching Award forPost-Baccalaureate Instruction, UNC at Chapel Hill.