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## Structural Equation Modeling Using Stata

Description

This course covers the use of Stata for structural equation modeling (SEM). SEM is a class of statistical techniques for modeling relationships among variables, both observed and unobserved. SEM encompasses some familiar models such as linear regression, multivariate regression, and factor analysis and extends to a variety of more complicated models. The course provides an overview of fitting linear structural equation models and evaluating the model fit. In addition, a number of models that fall within the linear SEM framework will be discussed with an emphasis on using Stata to fit each one. The course concludes with a brief introduction to multilevel models and generalized-linear models within the SEM framework.

Stata allows for fitting structural equation models in two ways—by using the command syntax or using the SEM Builder to draw path diagrams. Examples will demonstrate both approaches.

Price: \$1,295

We offer a 15% discount for group enrollments of three or more participants.

Course topics

• Overview of linear structural equation modeling
• Model description
• Process of fitting and evaluating structural equation models
• Description of path diagrams
• Stata’s tools for SEM
• Fitting models with the sem command
• Building models using the GUI for SEM
• Using the ssd commands to work with summary statistics
• Details on specific types of structural equation models
• Models for observed variables
• Linear regression
• Correlation
• Path analysis
• Mediation analysis
• Models with latent and observed variables
• Confirmatory factor analysis
• Full structural equation models
• Latent growth curves
• Multiple group models
• Testing and interpreting linear SEM results
• Standardized results
• Direct, indirect, and total effects
• Goodness-of-fit statistics
• Modification indices
• Score tests and Wald tests
• Tests for multiple group models
• Overview of generalized structural equation modeling and the gsem command
• Fitting multilevel models
• Fitting models with binary, ordered, count, and categorical outcomes

Prerequisite

Knowledge of basic statistical techniques such as correlation and linear regression.

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Notes

Enrollment is limited. This course is offered in both classroom and web-based settings.

Classroom training courses are two-day courses that run from 8:30 a.m. to 4:30 p.m. each day. These courses take place at a training center where computers with Stata installed are provided. A continental breakfast, lunch, and an afternoon snack will also be provided; the breakfast is available before the course begins.

Web-based training courses are four-day courses that run for three and a half hours each day. You will be provided with a temporary Stata license to install on your computer, a printed copy of the course notes, and all the course datasets so that you can easily follow along. Learn more about how our web-based training courses work, watch a video demonstration, and find technical requirements for participating in this type of training.