Johns Hopkins University 3 credits Education
This course will offer a basic introduction to structural equation modeling (SEM). In this course, students will develop a fundamental understanding of SEM methods and be familiarized with SEM applications in order to critique a research study with respect to the statistical analysis, and select an appropriate model and be able to apply it. The topics will include conceptual development of SEM, exploratory and confirmatory factor analysis, path analysis, model specification and identification, and model estimation and fit testing. Also, we will focus on applying SEM methods to non-nested data and continuous outcome variables. The STATA software will be used for application.
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