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Multivariate Data Analysis (6th Edition) Hardcover – November 7, 2005

25 customer reviews
ISBN-13: 978-0130329295 ISBN-10: 0130329290 Edition: 6th

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Editorial Reviews

From the Back Cover

Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today — e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations. --This text refers to an out of print or unavailable edition of this title.
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Product Details

  • Hardcover: 928 pages
  • Publisher: Prentice Hall; 6 edition (November 7, 2005)
  • Language: English
  • ISBN-10: 0130329290
  • ISBN-13: 978-0130329295
  • Product Dimensions: 8.6 x 1.5 x 10.1 inches
  • Shipping Weight: 4.2 pounds
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (25 customer reviews)
  • Amazon Best Sellers Rank: #908,809 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

46 of 46 people found the following review helpful By A Customer on February 27, 1999
Format: Hardcover
The Hair et al textbook has been one of my favorite recommendations to graduate students who are wrestling with their data analysis. I also use this book in a methodology course I give over here at Vrije University Amsterdam. The following points, in my opinion make this book the best choice for this purpose: 1. This book, contrary to many more statistically oriented texts, discusses analysis methods that are really used. Not the techniques that are necessarily most elegant, but the techniques that are most practical 2. The approach taken in this textbook is not formula-oriented. The authors simply discuss the prerequisites of a certain techniques and the interpretation of the outcomes. 3. The authors make a nice attempt to help the reader in choosing an appropriate technique. Although the treatment of the technique sometimes is too superficial, this is not a problem. A textbook cannot treat all details and good references are given in each chapter.
One the negative side, a number of caveats has to be mentioned however: 1. This most recent edition, unfortunately is worse than previous one. I tend to recommend older editions. The authors apparently have been trying to include a lot of material that users (i.e. instructors) of the book thought was missing. The structure of the book suffers from this added material. Another problem is that really high-level material gets mixed up with elementary statistics. A textbook simply cannot be everything for everyone. 2. The book is too big. Too much material has been added to this text. Furthermore, often too much time is spend discussing the examples. E.g., the illustration of discriminant and logit analysis alone takes over 40 pages.
Overall my rating of this book is not negative.
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63 of 65 people found the following review helpful By A. Maxham on July 4, 2000
Format: Hardcover
I took multivariate in Ph.D. school. Our professor didn't have a book (just his notes), so I had no book to be loyal to when I got out. I was given this book once I graduated and consider it to be a fabulous reference. I can't speak to *learning* multivariate techniques out of it because that's not been my experience with this book.
I use it as a reference- to refresh myself on a technique, or to consult when I run into a problem- this book has yet to let me down and has been able to answer any question or solve any problem that I've had.
You see this book cited in academic behavioral research, but the book does a great job of explaining things in a managerial way as well.
Other of these reviews have criticized it for going on too long on an example or a technique- for that I PRAISE this book- I WANT that extra information. I'm reminded of that quote from "Amadeus"- "Too many notes." I WANT as many notes as I can get- that's what makes it so much more helpful.
If you are looking for a great reference book for multivariate techniques, look no further.
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48 of 49 people found the following review helpful By Wayne Parker on June 28, 2001
Format: Hardcover
This is the best applied book on multivariate analysis I know. It clearly explains how to do statistical analyses and how to interpret the output. Clear examples throughout. Syntax supplied for each type of multivariate analysis in both SPSS and SAS, with LISREL notation for CFA. In addition to specific techniques (factor analysis, multiple regression, multiple discriminant analysis, MANOVA, conjoint analysis, canonical correlation, cluster analysis, multidimensional scaling, structural equation modeling/CFA) excellent sections on structuring data, cleaning data, and handling missing data. While mathematical sophistication always helps in stat, this book doesn't require it. No knowledge of matrix algebra needed to understand this book. Few if any formulas. Emphasis is on logic rather than math.
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20 of 21 people found the following review helpful By A Customer on November 19, 1999
Format: Hardcover
I've used this book (various editions) since graduate school -- more years ago than I care to admit. It is written in English rather than in "statistics" and gives a terrific conceptual overview of the research techniques. I keep it as a reference and use it regularly. If you want to understand multivariate stats without having to wade through a lot of symbols, this book is great. I also find it very useful when I'm trying to come up with a layman's explanation for management.
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9 of 9 people found the following review helpful By IfYouCantFaceRealityYouCantLead on March 20, 2002
Format: Hardcover
This book is an excellent source of information on multivariate analysis techniques. I especially like the flowcharts used for determining which analysis method to use as well as the flowcharts showing what steps to take for the analysis method chosen. If you have a good basic knowledge of statistics and a good head on your shoulders, you will have no problem understanding the methods presented.
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5 of 5 people found the following review helpful By Tom Anderson on October 25, 2005
Format: Hardcover Verified Purchase
A pretty good overview and a lot of in-depth material on Multivariate data analysis. Not quite a bed time read though.

I recommend this book as part of your analytical library.

If you liked this book, another good book on multivariate data analysis you may want to check out as well is Sharma, S.; Applied Multivariate Techniques, New York: John Wiley & Sons, Inc., 1996.

If you want something easier to read/more practical, and you prefer SPSS over SAS you may want to check out either `Discovering Statistics using SPSS for Windows' by Andy Field, or probably even better/simpler `SPSS Survival Manual' by Pallant.

Tom Anderson
Anderson Analytics, LLC
(...)
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