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Multivariate Data Analysis: Pearson New International Edition

Multivariate Data Analysis: Pearson New International Edition

7th Edition

Joseph Hair, William Black, Barry Babin, Rolph Anderson

Jul 2013, Paperback, 740 pages
ISBN13: 9781292021904
ISBN10: 129202190X
For orders to USA, Canada, Australia, New Zealand or Japan visit your local Pearson website
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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.

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

IV Interdependence Techniques
7 Cluster Analysis
8 Multidimensional Scaling and Correspondence Analysis

V Moving Beyond the Basic Techniques
9 Structural Equation Modeling: Overview
10 Appendix – SEM
10a CFA: Confirmatory Factor Analysis
11 Appendix – CFA
11a SEM: Testing A Structural Model
12 Appendix – SEM
12a Conjoint Analysis

APPENDIX
A Basic Stats

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