This is Part 2 of a two-part workshop. Please register for Part 1 as well.
Structural equation modeling (SEM) is a comprehensive and versatile analytical framework for estimating relationships between variables and testing complex theories in social sciences. SEM can be effectively used to identify and estimate direct and indirect effects between variables while handling both observed and latent variables in a single framework for both cross-sectional and longitudinal data. Learning SEM opens possibilities to fit a large gamut of statistical models. This workshop aims to be a nifty introduction to SEM using STATA while providing necessary tools and techniques to get you started modeling complex relationships.
- SEM Interface in STATA and introduction to covariance structure modeling
- Path Analysis
- Mediation and Moderation Analysis
- Estimation, Testing and Diagnostics
- Measurement Modeling
- Confirmatory factor analysis
- Full Structural Models
- Best Practices
Pre-requisites: Please refer to the pre-requisites guide.
Registration Required on Project Mosaic Calendar
Presenter: Kailas Venkitasubramanian