We present an overview of SEM principles, common nomenclature, diagrams, a tiny bit of algebra, real world examples, and a glimpse into more advanced SEM techniques such as mediation analysis, measurement equivalence testing, latent growth curve modeling, and finally a “jazz” segment based on your input on what you wanted to get from this course. In this course, you will:

• Enrich your way of thinking about medical decision making problems;
• Learn fundamental concepts underpinning SEM models;
• Understand advantages of SEM over traditional statistical models.
• Gain knowledge of resources and techniques for causal modeling;
• Be able to interpret results of advanced causal modeling techniques;
• Be introduced to software for implementing SEM analyses.

Whether you want to know how to critique a SEM article, use SEM in your research, or engage a few SEM researchers in some feisty methods discussions, sign up...we'd love to visit with you.