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Multivariate Data Analysis (6th Edition) | 
 enlarge | Authors: Joseph F. Hair, Bill Black, Barry Babin, Rolph E. Anderson, Ronald L. Tatham
Publisher: Prentice Hall
Category: Book
List Price: $177.33
Buy Used: $37.80
You Save: $139.53 (79%)
New (22) Used (16) from $37.80
Rating:  18 reviews
Sales Rank: 96833
Media: Hardcover
Edition: 6
Pages: 928
Number Of Items: 1
Shipping Weight (lbs): 4.2
Dimensions (in): 10.1 x 8.1 x 1.5
ISBN: 0130329290
Dewey Decimal Number: 519.535
EAN: 9780130329295
ASIN: 0130329290
Publication Date: November 7, 2005
Availability: Usually ships in 1-2 business days
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Product Description
For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.
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| Customer Reviews: Read 13 more reviews...
 Great product, great service October 3, 2008
amoura (USA)
The book was exactly like new. Great condition. The delivery was faster than expected. I like doing business with this seller.
 Multivariate data analysis without equations. Not practical. April 24, 2008
Marshall (Chapel Hill, NC)
I have some mathematical background and a very basic statistical formation (undergrad class). I bought this book because I needed to actually do some multivariate data analysis, but I obviously bought the wrong book. For starters... the book doesn't have any equations! There are hundreds of pages of prose used to explain concepts that could have been summarized with simple formulas. This is a good book if you are interested in getting an idea of how statisticians or scientist analyze complex data sets, but I doubt it will help you to really understand the techniques, and let alone, implement them. If you are interested in actually using MVDA, then don't waste your money on this book and buy Johnson and Wichern's book instead.
Ph.D. student actually likes this stats book... January 8, 2008
J. D. Mason (Stillwater, OK)
1 out of 1 found this review helpful
I've used several texts in my Ph.D. program but this one was by far the best. While I can't speak to the completeness, as a student I have found this one to have adequate examples, well written explanations, and has served as an excellent reference work for those times when I have needed to use the statistics that I have forgotten everything about except the fact that they exist.
If a prof. has made this a "recommended" (but not required) text and you are on the fence about getting it, you really should buy it - it is an investment you won't regret.
Best general Multivariate stats book June 6, 2007
shawn carraher (Lawton, Oklahoma USA)
3 out of 3 found this review helpful
This is without question THE BEST introduction to Multivariate Statistics book currently available. It is designed for the user of the techniques, not someone who wants to examine the math underlying the techniques. I have created a collection of the various editions of this book and I have all of them going from the 1st edition to the current one. Personally I really likely the 2nd and 3rd editions but the current one is also very good. Whether you are interested in Exploratory Factor Analysis, Multiple Regression Analysis, Discriminant Analysis [I think that there should have been more on classification analysis in this section], Logistic regression, multivariate analysis of variance, conjoint analysis, cluster analysis, multidimensional scaling, Confirmatory Factor Analysis or Structural Equation Modeling, this book provides a good broad overview as to how to use and interpret the techniques. The key terms for each technique are defined clearly technique by technique. Having taught faculty how to teach multivariate statistics this is the book that I chose to use. It is important to remember that it is BROAD overview and if you are going to do serious analyses that you'd likely want to get additional books about the specific technique or techniques that you are going to use.
Probably the best advanced stats book ever written...GOD bless the authors! May 12, 2007
FrozenMusic (Atlanta, GA, USA)
2 out of 2 found this review helpful
Over the course of my undergrad, grad, and post grad, I have read a variety of statistics books. Without a doubt, Hair's Multivariate Data Analysis is THE BEST book of them all. Here is a brief outline of the awesome features of the book:
1. The book itself is very well organized - chapter order and the order within each chapter helps the reader in knowing what is coming next and provides a sense of direction. I think this is a very important feature for any book to have especially when the topics are complex and are discussed over 800 odd pages.
2. The HBAT data set that comes along with the book (or that is provided by the instructor of the course depending on the version of the book you purchase) is really a very good resource. All multivariate techniques in the book can be carried out using this data set. The data set is clearly explained at the end of the first chapter.
3. Tables of examples, the 'Rules of thumb" after each important concept discussion prove invaluable. This is akin to the managerial implication written at the end of lenghty academic articles. This is almost like saying - Here is the deal folks.....Much precise than the summary section, in bullet points, these rules of thumb acts as quick referece that captures the content of the discussion.
4. From chapter 4 onwards till the very end of the book, each chapter is divided into two halves - the first half is the concept dicsussion - in detail, with examples and in very simple and understandable language. The second half is the illustration of the discussed concept through a very elaborate example using the HBAT data set. This arrangement not only helps the reader in better understanding the complex concepts, but also allows the reader to get their hands dirty by actually working out.
5. Keywords at the begining of each chapter provides a list of all the 'jargon' that would be used in that chapter. This list provides a detail definition of each term. Many times while reading the chapter, you would come across a confusing term and in those times the keyword list can prove invaluable.
All in all, this is an invaluable book. If you are a taking stats and you have not read this book, you are missing something. In spite of all the above great things, the best feature of this book is the writing style. I have not come across a book that explains concepts is such easy to understand language but at the same time not over simplifying the subject matter.
My advanced stats became enjoyable because of this book. Really may GOD bless these authors for writing this book!!
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