Educational Analytics for Linear Regression and Latent Variable Models

5 credits

Covers foundational understanding and application of two interrelated tools: multiple linear regression and structural equation (SEM) modeling. Emphasizes modeling latent (unobserved) variables and the treatment of measurement error for scales measured by continuous items. Prerequisite: EDPSY 490.