Structural equation modeling using Stata

$1,395 4 days 3–4 hours daily

This course introduces structural equation modeling and its implementation in Stata. 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, starting with linear regression up to confirmatory factor analysis and growth curve modeling. Model identification and evaluation will also be extensively discussed. The course concludes with a brief introduction to multilevel models and generalized linear models within the SEM framework.

← Back to all classroom and web training courses

Upcoming sessions

21–24 July 2026

11:00 a.m. to 2:30 p.m. CDT (4:00 p.m. to 7:30 p.m. UTC)

Enrollment deadline: 15 July

Add to cart

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

All prices USD.

Inform me of the next session ↓

Course leader

Meghan Cain

Assistant Director, Educational Services

Meghan Cain is the Assistant Director of Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she oversees the development of statistical trainings and webinars, creates videos for the Stata YouTube channel, and reviews Stata Press books.

Prerequisite

A general familiarity with Stata and a graduate-level course in regression analysis or comparable experience.

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
Fitting models with the SEM Builder by drawing path diagrams
Using the ssd commands to work with summary statistics

Details on specific types of structural equation models

Models with observed variables

Linear regression
Path analysis
Mediation analysis

Models with latent and observed variables

Confirmatory factor analysis
Full structural equation models
Latent growth curves

Models with multiple groups

Testing and interpreting linear SEM results

Standardized results
Direct, indirect, and total effects
Goodness-of-fit statistics
Modification indices
Model comparison

Overview of generalized structural equation modeling and the gsem command

Fitting multilevel models
Fitting models with binary, ordered, count, and categorical outcomes

Report results from a structural equation modeling analysis

Notes

Enrollment is limited.

Web-based training courses are four-day courses that run for three to four hours daily with hourly breaks. 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.

Classroom and web training FAQs →

Future sessions

Inform me when the next session is available.

Name*

Email address*

Country*

I would like to receive the following email alerts:

*Select all that apply

New releases of Stata
Free webinars on Stata
Classroom and web-based training courses
New books published by Stata Press
Stata Conferences
Stata Journal—availability and table of contents
Select all

I agree to receive communications from StataCorp. I understand StataCorp will process my personal information in accordance with their Privacy Policy.

To ensure delivery of emails to your inbox, add [email protected] to your address book.

We use cookies

We use cookies to ensure that we give you the best experience on our website—to enhance site navigation, to analyze usage, and to assist in our marketing efforts. By continuing to use our site, you consent to the storing of cookies on your device and agree to delivery of content, including web fonts and JavaScript, from third party web services.

Cookie Settings

Last updated: 16 November 2022

StataCorp LLC (StataCorp) strives to provide our users with exceptional products and services. To do so, we must collect personal information from you. This information is necessary to conduct business with our existing and potential customers. We collect and use this information only where we may legally do so. This policy explains what personal information we collect, how we use it, and what rights you have to that information.

Advertising and performance cookies

This website uses cookies to provide you with a better user experience. A cookie is a small piece of data our website stores on a site visitor's hard drive and accesses each time you visit so we can improve your access to our site, better understand how you use our site, and serve you content that may be of interest to you. For instance, we store a cookie when you log in to our shopping cart so that we can maintain your shopping cart should you not complete checkout. These cookies do not directly store your personal information, but they do support the ability to uniquely identify your internet browser and device.

Please note: Clearing your browser cookies at any time will undo preferences saved here. The option selected here will apply only to the device you are currently using.