Overview

For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers 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 readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, 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.

Full Product Details

Author:   Joseph F. Hair, Jr ,  William C. Black ,  Barry J. Babin ,  Rolph E. Anderson
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   7th edition
Dimensions:   Width: 20.30cm , Height: 3.60cm , Length: 25.40cm
Weight:   1.570kg
ISBN:  

9780138132637

ISBN 10:   0138132631
Pages:   816
Publication Date:   05 March 2009
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Replaced By:   9781292021904
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock  

Table of Contents

I Introduction 1 Introduction II Preparing For a MV Analysis 2 Examining Your Data 3 Factor Analysis III Dependence Techniques 4 Multiple Regression Analysis 5 Multiple Discriminate Analysis and Logistic Regression 6 Multivariate Analysis of Variance 7 Conjoint Analysis IV Interdependence Techniques 8 Cluster Analysis 9 Multidimensional Scaling and Correspondence Analysis V Moving Beyond the Basic Techniques 10 Structural Equation Modeling: Overview 10a Appendix - SEM 11 CFA: Confirmatory Factor Analysis 11a Appendix - CFA 12 SEM: Testing A Structural Model 12a Appendix - SEM APPENDIX A Basic Stats

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