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Multivariate Data Analysis

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ISBN-10: 0138132631

ISBN-13: 9780138132637

Edition: 7th 2010

Authors: Joseph F. Hair, Rolph Anderson, William C. Black, Barry Babin, Joseph Hair

List price: $282.20
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Description:

KEY BENEFIT: For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair, et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.…    
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Book details

List price: $282.20
Edition: 7th
Copyright year: 2010
Publisher: Prentice Hall PTR
Publication date: 2/13/2009
Binding: Hardcover
Pages: 816
Size: 8.50" wide x 10.25" long x 1.25" tall
Weight: 3.498
Language: English

Dr. Joe Hair is Founder and Senior Scholar of the Doctoral Degree in Business Administration, Coles College, Kennesaw State University, USA. He previously held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 40 books, including Multivariate Data Analysis, Prentice-Hall, 7 th edition, 2010 (cited 22,000+ times); Marketing, South-Western Publishing Company, 12 th edition 2012; Essentials of Business Research Methods, M.E. Sharpe, 2011; Research Methods for Business, Wiley, 2007; and Essentials of Marketing Research, McGraw-Hill/Irwin, 3 rd edition 2013. He…    

Introduction
Introduction
Preparing For a MV Analysis
Examining Your Data
Factor Analysis
Dependence Techniques
Multiple Regression Analysis
Multiple Discriminant Analysis and Logistic Regression
Multivariate Analysis of Variance
Conjoint Analysis
Interdependence Techniques
Cluster Analysis
Multidimensional Scaling and Correspondence Analysis
Moving Beyond the Basic Techniques
Structural Equation Modeling: Overview
Appendix ndash; SEM
CFA: Confirmatory Factor Analysis
Appendix ndash; CFA
SEM: Testing A Structural Model
Appendix ndash; Sem
Basic Stats