Generalized Linear Model (GLM) Introductory Overview - Hypothesis Testing

The following sections discuss details concerning hypothesis testing in GLM, for example, how the test for the overall model fit is computed, the options for computing tests for categorical effects in unbalanced or incomplete designs, how and when custom-error terms can be chosen, and the logic of testing custom-hypotheses in factorial or regression designs.

Whole Model Tests

Six Types of Sums of Squares

Error Terms for Tests

Testing Specific Hypotheses

Testing Hypotheses for Repeated Measures and Dependent Variables