Introduction to Structural Equation Modeling
Duration: 1 half-day session CEU: 0.3
Presented by Werner Wothke, Ph.D., Principal Statistician, American Institutes for Research
This lecture focuses on structural equation modeling (SEM), a statistical technique that combines elements of traditional multivariate models, such as regression analysis, factor analysis, and simultaneous equation modeling.
Learn how to
- set up a multiple regression model with both PROC REG and PROC CALIS
- inspect iterative model fitting by PROC CALIS
- set up and modify a theory-driven factor model and interpret the results.
Who should attend
Statistical analysts and quantitative researchers who are experienced in regression analysis
Course Materials
Students attend Live Web classes using a Web browser and a telephone and interact with
their instructor and fellow classmates in real time. Each student receives an e-mail
with instructions on how to join the class three business days before the class begins.
The instructions e-mail includes a link to download the course materials, including the
exercise files. Students need to download and print the course materials prior to class.
System Requirements
For Live Web, you must