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Structural Equation Modeling with Categorical Data - Online Course

A 4-Day Livestream Seminar Taught by

Wes Bonifay
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time)

Structural equation modeling (SEM) is a framework for fitting many types of statistical models, including simple regression models, multivariate path models, confirmatory factor models, latent variable path models, and latent growth models. Since its inception, the standard SEM specification has been a linear model with normally distributed outcomes, often considered “continuous.” That’s been a considerable limitation because many outcome variables are binary or ordinal, or considered “categorical,” in almost every discipline. Unfortunately, categorical models differ in several ways from standard SEM, and there are few didactic articles on how to properly use and interpret categorical SEM. This seminar will cover a wide range of topics within the categorical SEM framework.

Starting June 18, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

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