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Multivariate Data Analysis [Paperback]

Joseph F. Hair Jr , William C. Black , Barry J. Babin , Rolph E. Anderson
5.0 out of 5 stars  See all reviews (1 customer review)
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Book Description

17 July 2013 129202190X 978-1292021904 7
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.


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Multivariate Data Analysis + Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series)
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Product details

  • Paperback: 752 pages
  • Publisher: Pearson; 7 edition (17 July 2013)
  • Language: Unknown
  • ISBN-10: 129202190X
  • ISBN-13: 978-1292021904
  • Product Dimensions: 27.4 x 21.4 x 2.6 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 288,023 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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5.0 out of 5 stars buy it! 10 Dec 2013
By Errante
Format:Paperback|Verified Purchase
From not knowing what a factor analysis is to doing structural equation modelling...thanks in part to this book. Clear, helpful, easy to understand. Long story short, get it, you will not regret it.
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Amazon.com: 4.8 out of 5 stars  8 reviews
11 of 11 people found the following review helpful
5.0 out of 5 stars THE BEST REFERENCE FOR PHD STUDENT.....YOU ALL SHOULD HAVE ONE... 5 Aug 2010
By Azmizam Abdul Rashid - Published on Amazon.com
Format:Paperback|Verified Purchase
Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics.
The analysis of multivariate data requires the extension of standard univariate statistical models and methods but also introduces new problems. Initial attention is given to Data Mining techniques such as summarising and displaying high dimensional data and to ways of reducing multivariate problems to more manageable univariate ones. This is followed by routine generalisations of standard distributions and statistical tests before consideration of new strategies for constructing hypothesis tests. Finally, problems specific to multivariate data such as discrimination and classification (use in medical diagnosis problems for example) are studied. Most of these methods can be implemented in standard computer packages.

This book shows that multivariate analysis are:
- Design for capability (also known as capability-based design)
- Inverse design, where any variable can be treated as an independent variable
- Analysis of Alternatives (A0A), the selection of concepts to fulfill a customer need
- Analysis of concepts with respect to changing scenarios
- Identification of critical design drivers and correlations across hierarchical levels.

Thank you to Joseph F. Hair, Ronald L. Tatham, Rolph E. Anderson, William Black for their excellent job..make my research so easy. Every Phd should have this book.
5 of 5 people found the following review helpful
5.0 out of 5 stars Understanding complex statistics 10 Feb 2010
By Jo Anne Carrick - Published on Amazon.com
Format:Paperback|Verified Purchase
This book was referred to me while I was writing the data analysis chapter of my dissertation. What a good find. I thought I understood multivariate analysis but this gives you practical and clear appliacations that make sense. A must reference if your work goes beyond the simple t-test.
6 of 7 people found the following review helpful
5.0 out of 5 stars The BEST stats book anywhere 1 Jan 2010
By Stellagirl - Published on Amazon.com
Format:Paperback|Verified Purchase
This is my all time favorite stats book. It's very easy to read and yet is authoritative and comprehensive. The book is designed to promote a real understanding of the topic. Each chapter includes: glossary and quick overview at the beginning of the chapter, to orient the reader to the chapter; description of the theory; an application; example of programming code; summary. The writing style is clear and easy to follow. I first read this book in graduate school. I still turn to it as a refresher. If I could own only one multivariate book, this would be it.
5.0 out of 5 stars Easily the best statistics book I've ever read 26 Sep 2012
By C.D. - Published on Amazon.com
Format:Paperback|Verified Purchase
I purchased this book as a textbook for a course in statistics. I have to say that this is hands-down the best statistics book I've ever read and the only one out of the pile of books I've purchased that I'm keeping as a reference. There is so much focus on how to choose the correct methods based on the types of data that you're working with - it's refreshing to read a book that's less focused on the math and more focused on the real-world applications.
5.0 out of 5 stars Excellent 5 May 2012
By Juan C. River - Published on Amazon.com
Format:Paperback|Verified Purchase
One of the best of the recent wave of multivariant publication. Great value, easy read and understand. Another opportunity of improvement are the case studies. jcrv
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