Structural Equation Modeling in JMP® and R
Ended Nov 7, 2025
2 credits
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Full course description
Term: Fall 2025
Date: November 7th, 2025
Time: 11:00 a.m. to 1:00 p.m.
Location: Graduate Life Center 40
Instructor: Kate Miller & Stephanie DeHart
Presented By: Statistical Applications & Innovation Group (SAIG)
Description:
Structural Equation Modeling (SEM) is a multivariate statistical method commonly used to test theories about variable relationships. In the SAIG Short Course Introduction to Structural Equation Modeling in JMP® and R, we will cover how to perform SEM, specifically structural regression, and interpret the results. By the end of this course, you will be able to: Describe the basic terminology and structure of SEM Implement SEM in JMP® and R Interpret SEM analysis results