| Event Title | Introduction to Structural Equation Modeling (Online) |
| Location | Online (ZOOM) |
| Sponsor | H.W. Odum Institute |
| Date/Time | 09/22/2021 1:00 PM - 4:00 PM | Event Price |
| Cutoff Date | 09/19/2021 Must register before this date |
| Name | Title | |
|---|---|---|
| Din Chen | PhD | 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 |
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 goodness-of-fit of a model.
Registration fees
- $20 deposit required to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
