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APSY 8667 General Linear Models (Fall: 3 )

Course Description

Addresses the construction, interpretation, and application of linear statistical models. Specifically, lectures and computer exercises will cover multiple regression models; matrix algebra operations; parameter estimation techniques; missing data; transformations; exploratory versus confirmatory models; sources of multicollinearity; residual analysis techniques; partial and semipartial correlations; variance partitioning; dummy, effect, and orthogonal coding; analysis of covariance; and logistic regression.

Instructor(s): Larry Ludlow

Prerequisites: ERME/APSY 7469.

Cross listed with:

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

Last Updated: 24-Jun-17