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