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Multivariate General Linear Models

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ISBN-10: 1412972493

ISBN-13: 9781412972499

Edition: 2011

Authors: Richard F. Haase

List price: $42.00
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Description:

The proposed book is intended to provide a''graduate level introduction to multivariate multiple regression analysis.á 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 will be divided into seven short chapters.á 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:á (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…    
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Book details

List price: $42.00
Copyright year: 2011
Publisher: SAGE Publications, Incorporated
Publication date: 11/23/2011
Binding: Paperback
Pages: 224
Size: 5.63" wide x 8.63" long x 0.44" tall
Weight: 0.572
Language: English

Richard F. Haase is Professor Emeritus and Research Professor in the Division of Counseling Psychology of the School of Education and Fellow of the Institute for Health and the Environment of the School of Public Health, both at the University at Albany of the State University of New York. After completing his Ph.D. in Psychology from Colorado State University he has taught research methods, statistics and data analysis at the University of Massachusetts at Amherst, Texas Tech University and the University at Albany. His interests are in the areas of research methods, univariate and multivariate statistics, and vocational psychology. His work on research methodology and data analysis has…    

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