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.