You are here

Book > Textbooks > Quantitative/Statistical Research

PLEASE NOTE: Sage UK Distribution including UK Books Customer Services will be closed for a stocktake from 27th November to 29th November. This affects only book orders and queries from the UK. Any orders placed during this period; or queries emailed, will be dealt with as normal when service resumes on 2nd December. Thank you for your patience and we apologise for any inconvenience caused.

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

Multivariate General Linear Models
Share

Multivariate General Linear Models

Volume: 170
January 2012 | 224 pages | SAGE Publications, Inc
Download flyer
This book provides a graduate level introduction to multivariate multiple regression analysis. The book can be used as a sole text for that topic, or as a supplemental text in a course that addresses a larger number of multivariate topics.

The text is divided into seven short chapters. Apart from the introductory chapter giving an overview of multivariate multiple regression models, the content outline follows the classic steps required to solve multivariate general linear model problems:

(a) specifying the model

(b)estimating the parameters of the model

(c) establishing measures of goodness of fit of the model

(d) establishing test statistics and testing hypotheses about the model

(e) diagnosing the adequacy of the model.

 
1. Introduction and Review of Univariate General Linear Models
 
2. Specifying the Structure of the Multivariate General Linear Model
 
3. Estimating the Parameters of the Multivariate General Linear Model
 
4. Partitioning the SSCP, Measures of Strength of Association, and Test Statistics in the Multivariate General Linear Model
 
5. Testing Hypotheses in the Multivariate General Linear Model
 
6. Coding the Design Matrix and the Multivariate Analysis of Variance
 
7. The Eigenvalue Solution to the Multivariate General Linear Model: Canonical Correlation and Multivariate Test Statistics
 
References

For instructors

Select a Purchasing Option

SAGE Research Methods Promotion

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

With SAGE Research Methods, researchers can explore their chosen method across the depth and breadth of content, expanding or refining their search as needed; read online, print, or email full-text content; utilize suggested related methods and links to related authors from SAGE Research Methods' robust library and unique features; and even share their own collections of content through Methods Lists. SAGE Research Methods contains content from over 720 books, dictionaries, encyclopedias, and handbooks, the entire “Little Green Book,” and "Little Blue Book” series, two Major Works collating a selection of journal articles, and specially commissioned videos.

Find out more