ABSTRACT

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral

chapter Chapter 1|24 pages

Overview of General Linear Model

chapter Chapter 2|52 pages

Unrestricted General Linear Models

chapter Chapter 3|32 pages

Restricted General Linear Models

chapter Chapter 4|34 pages

Weighted General Linear Models

chapter Chapter 5|80 pages

Multivariate General Linear Models

chapter Chapter 6|20 pages

Doubly Multivariate Linear Model

chapter Chapter 7|54 pages

Restricted MGLM and Growth Curve Model

chapter Chapter 8|52 pages

SUR Model and Restricted GMANOVA Model

chapter Chapter 9|32 pages

Simultaneous Inference Using Finite Intersection Tests

chapter Chapter 10|32 pages

Computing Power for Univariate and Multivariate GLM

chapter Chapter 11|42 pages

Two-Level Hierarchical Linear Models

chapter Chapter 12|24 pages

Incomplete Repeated Measurement Data

chapter Chapter 13|32 pages

Structural Equation Modeling