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Multivariate Data Analysis, 7/E
Joseph F. Hair, Jr
William C. Black
Barry J. Babin
Rolph E. Anderson

ISBN-10: 0138132631
ISBN-13:  9780138132637

Publisher:  Prentice Hall
Copyright:  2010
Format:  Cloth; 816 pp
Published:  02/13/2009
Status: Instock


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Description

For graduate and upper-level undergraduate marketing research courses.

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.


Features

For graduate and upper-level undergraduate marketing research courses.

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.

NEW! Chapter Reorganization: Chapters now focus on a single topic and begin with providing basic information and application techniques. This is followed by more in-depth discussions later in the chapter.

NEW! “Rule of Thumb” Feature Expanded: This feature has been improved so students learn how to best use different techniques.

Use of Technical Terms and Statistical Notation Minimized: In order to make the text more accessible to management and non-mathematically focused students, the authors explain complex techniques in everyday language.

NEW! Additional Chapters: Structural Equations Modeling has been expanded and reorganized, now covering 4 chapters.

Other topics of distinction

NEW! Expansion of Website: “Great Ideas in Teaching Multivariate” Statistics has been updated to provide even more links for students and resources for instructors. There are a number of teaching materials available, including exercises, datasheets, and project ideas. The website can be found at www.mvstats.com




New To This Edition


NEW! Chapter Reorganization: Chapters now focus on a single topic and begin with providing basic information and application techniques. This is followed by more in-depth discussions later in the chapter.

NEW! “Rule of Thumb” Feature Expanded: This feature has been improved so students learn how to best use different techniques.

NEW! Additional Chapters: Structural Equations Modeling has been expanded and reorganized, now covering 4 chapters.

NEW! Expansion of Website: “Great Ideas in Teaching Multivariate” Statistics has been updated to provide even more links for students and resources for instructors. There are a number of teaching materials available, including exercises, datasheets, and project ideas.   The website can be found at www.mvstats.com


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


Previous Edition(s)

  • Multivariate Data Analysis, 6/E
    Hair, Black, Babin, Anderson & Tatham
    ©2006  |  Prentice Hall  |  Cloth; 928 pp  |  Instock
    ISBN-10: 0130329290  |  ISBN-13: 9780130329295
    Brief Description  |  More Info



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Websites and Online Courses

Companion Website for Multivariate Data Analysis, 7/E
Hair
©2009  |  Prentice Hall  |  Website  |  Live
ISBN-10: 013813233X  |  ISBN-13: 9780138132330
More Info

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Instructor's Manual, 7/E
Hair
©2009  |  Prentice Hall  |  Paper; 500 pp  |  Out of Stock
ISBN-10: 013813264X  |  ISBN-13: 9780138132644

Show Downloadable Files
 | More Info

PowerPoint Presentation (Download only) for Multivariate Data Analysis, 7/E
Hair
©2009  |  Prentice Hall  |  On-line Supplement  |  Live
ISBN-10: 0138132305  |  ISBN-13: 9780138132309

Show Downloadable Files
 | More Info

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Exam Copy for Multivariate Data Analysis, 7/E
Hair
©2009  |  Prentice Hall  |  Cloth; 848 pp  |  Instock
ISBN-10: 0138132313  |  ISBN-13: 9780138132316
More Info

Companion Website for Multivariate Data Analysis, 7/E
Hair
©2009  |  Prentice Hall  |  Website  |  Live
ISBN-10: 013813233X  |  ISBN-13: 9780138132330
More Info

Back to top


Websites and online courses

Companion Website for Multivariate Data Analysis, 7/E
Hair
©2009  |  Prentice Hall  |  Website  |  Live
ISBN-10: 013813233X  |  ISBN-13: 9780138132330
More Info


Websites and Online Courses

Companion Website for Multivariate Data Analysis, 7/E
Hair
©2009  |  Prentice Hall  |  Website  |  Live
ISBN-10: 013813233X  |  ISBN-13: 9780138132330
More Info

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  • Multivariate Data Analysis, CourseSmart eTextbook, 7/E
    Hair, Black, Babin & Anderson
    ©2009  |  Prentice Hall  |  Electronic Book; 900 pp  |  Available
    ISBN-10: 0138132321  |  ISBN-13: 9780138132323
    Brief Description  |  More Info  |  Students, buy access

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