Structural Equation Modeling

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Further and more detailed information, including the schedule, can be found in the current course tables in the syllabus of the respective course, if the course is offered in the next sessions. The following text serves as information on what can be expected in terms of content in the course.

This is an interactive course on data analysis focused on the application of multivariate analysis with latent variables using structural equation models (SEMs). These models can be used to explore research questions involving complex relationships among many variables (specifically multiple outcome variables) and these variables may be observed or latent. This course will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in latent variable and structural equation models using readily-available software in R.