Structural Equation Modeling in R using lavaan (E-Learning Course)

Participants will learn how to interact with the lavaan software and how to run common types of structural equation models (e.g. path models, confirmatory factor analyses, latent regression models, multiple group models) using lavaan. No prior knowledge of lavaan is necessary, but some experience with R (although not strictly required) is strongly encouraged. Structural equation modeling (SEM) is a powerful tool with which researchers can build intricate models of structural relationships and measurement processes. Traditionally, open-source software options for estimating structural equation models have been quite limited, but the lavaan project (https://lavaan.ugent.be/) has been steadily changing this narrative. The lavaan package is a completely free and open-source R package that implements a wide range of SEMs. The package is also being actively developed, so its capabilities continue to grow.

Course leader

Kyle M. Lang

Target group

Master and PhD students, PhDs, researchers, and other professionals who are interested in learning (more) about the lavaan project, how to use lavaan to estimate common structural equation models, and how they can apply lavaan in their own work. The course will be taught at a beginning master level. For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.