#### ED 667 General Linear Models (Fall/Spring: 3)

*Prerequisite:*
ED/PY 469

**Cross Listed with
PY667
**

**Ph.D. students only; all others by instructor permission.**

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.

*Larry Ludlow, Zhushan Mandy Li*

Last Updated: 22-MAY-12