Date: November 28-December 7, 2016
Location: Goldfarb Hall, Room 132, Washington University in St. Louis
CSD Sponsored Workshop on “Fundamental Methods of Structural Equation Modeling”, led by Shenyang Guo
Workshop Description
Structural equation modeling (SEM) is a general statistical method that can be employed to test theoretically derived models. It is “a class of methodologies that seeks to represent hypotheses about the means, variances, and covariances of observed data in terms of a smaller number of ‘structural’ parameters defined by a hypothesized underlying model” (Kaplan, 2000). This workshop offers an overview of fundamental SEM methods. Through an intensive five-session workshop, participants will learn the challenges and opportunities of applying the SEM methods to addressing various issues in social work and public health research.
Workshop Outline
8:30 – 11:30 AM, Monday, November 28, 2016
- Overview of Structural Equation Modeling
- Path Analysis
8:30 – 11:30 AM, Wednesday, November 30, 2016
- Confirmatory Factor Analysis
8:30 – 11:30 AM, Friday, December 2, 2016
- General Structural Equation Models
8:30 – 11:30 AM, Monday, December 5, 2016
- Advanced Topics (I): Critical Review and Power Analysis
8:30 – 11:30 AM, Wednesday, December 7, 2016
- Advanced Topics (II): Mean Structure and Latent Growth Curve Models