Structural Equation Modeling: Special Topics

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Date(s) - 05/13/2021 - 05/15/2021
10:00 am - 5:00 pm


Structural equation modeling (SEM) is a versatile analytical framework for estimating and assessing models that describe relations among both measured and latent variables. Common examples include measured variable path models, confirmatory factor models, and latent variable path models. These models subsume methods based on the traditional general linear model such as multiple regression and analysis of variance.

This seminar goes beyond introductory SEM to cover more advanced methods that enable researchers to address their current modeling questions more effectively and also to focus on entirely new research questions. After a review of SEM basics, we will cover

  • planned missing data designs
  • design-based approaches to complex samples
  • mean structure models for measured and latent variables
  • measured and latent variable mixture models
  • models for latent variable interactions
  • latent growth curve models
  • power analysis in SEM.

The style of instruction is designed for participants coming from a variety of different subject-matter backgrounds. Examples will be presented using the Mplus software package.

Starting May 13, we are offering this seminar as a 3-day synchronous*, remote workshop for the first time. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. 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.

The fee of $895 includes all course materials.

Visit the event page for more information.