Odum Institute: Introduction to Structural Equational Modeling
This course will be offered via Zoom only. However, this course will not be recorded.
Structural equation modeling (SEM) is a general statistical method that can be employed to test theoretically derived models. In this introductory short course, we cover the fundamental concepts and skills to conduct SEM using R/lavaan and Mplus. Specifically, we will use real data with a step-by-step implementation in R/lavaan and mplus:
1. to conduct confirmatory factor analysis (CFA) to evaluate measurement validity,
2. to conduct structural equation modeling with latent variables to test/confirm a theoretically derived model,
3. to understand statistical indices measuring the goodness-of-fit of a model.
Instructor Bio:
Professor Din Chen is the Wallace H. Kuralt Distinguished Professor at the School of Social Work and a professor in biostatistics, Department of Biostatistics, Gillings School of Global Public Health. He has been teaching a graduate-level SEM class at the School of Social Work since 2015. Professor Chen is an elected fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a fellow of the Society of Social Work and Research. He has written more than 200 refereed publications and has co-authored/co-edited 33 books on statistics and biostatistics.
Registration fees
- $20 deposit required to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
This class will be offered via Zoom ONLY. Registration closes at 12:01am on 9/19/2021.