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ERME 8667 General Linear Models (Fall/Spring: 3 )

Course Description

Addresses the construction, interpretation, and application of linear statistical models. Specifically, lectures and computer exercises cover ordinary least squares regression models; matrix algebra operations; parameter estimation techniques; missing data options; power transformations; exploratory versus confirmatory model building; linear-model diagnostics, sources of multicollinearity; diagnostic residual analysis techniques; variance partitioning procedures; dummy, effect, and orthogonal coding procedures; and an introduction to structural equation modeling.

Instructor(s): Larry Ludlow
Zhushan Mandy Li

Prerequisites: ERME/APSY 7469.

Cross listed with:

Comments: Ph.D. students only; all others by instructor permission.

Last Updated: 24-Jun-17