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Multivariate Data Analysis Hardcover – 28 Oct 2005

4.0 out of 5 stars 4 customer reviews

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Hardcover, 28 Oct 2005
£83.63 £43.00

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Product details

  • Hardcover: 928 pages
  • Publisher: Prentice Hall; 6 edition (28 Oct. 2005)
  • Language: English
  • ISBN-10: 0130329290
  • ISBN-13: 978-0130329295
  • Product Dimensions: 21.8 x 3.9 x 25.7 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Bestsellers Rank: 2,197,895 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Customer Reviews

4.0 out of 5 stars
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Top Customer Reviews

Format: Hardcover
I very much liked this book, it's the most comprehensible yet comprehensive stats book I've come across so far. Better than the APA books on multivariate statistics (personal opinion). I relied heavily on it for my PhD.

Immensely useful are the basic chapters and the sections about assumptions in your data that have to be met for each analysis to be valid. No one told me about testing all these basic assumptions before doing more advanced tests, and in most scientific articles these issues are not reported. I had a pretty good idea what each method was about and when I should use it after reading this book. But more importantly, I was able to do most of the described analyses in SPSS and interpret the output correctly (at least our stats guru said so).

So this is a definite recommendation to read, and I think it's useful for you if you're into research in social science, management, applied psychology, or business.
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Format: Hardcover
1. The book was written by people in Marketing and Business Administration, not mathematicians or statisticians.

2. You almost don't find a single formula in the book.

3. You are supposed to remember given stages and steps and opitions to process a MVA.

4. You are not told the theoretical basis of any method.

5. You won't be able to develop statistical methods by your own after reading the book.

6. I feel incredible frustrations in reading it.
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Format: Hardcover
Covers many modern multivariate methods and explains how and WHEN to use each technique .
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Format: Paperback
Very often see papers research papers quoting this book. Stuff in the book are rather basic but just good enough for academic research in non-statistical subject.
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Most Helpful Customer Reviews on (beta) HASH(0x9159624c) out of 5 stars 26 reviews
65 of 67 people found the following review helpful
HASH(0x917beeb8) out of 5 stars A GREAT reference 4 July 2000
By A. Maxham - Published on
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.
46 of 46 people found the following review helpful
HASH(0x917bef0c) out of 5 stars A good, practical introduction to data-analysis 27 Feb. 1999
By A Customer - Published on
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. If this edition of the book had been my first encounter with this text, I probably had been more enthousiastic. Now I tend to compare it with earlier editions, and must conclude the book has degraded. A next edition, in which a good editor goes through the text to enhance structure and get rid of superfluous material might easily solve the problems mentioned.
48 of 49 people found the following review helpful
HASH(0x917bf0e0) out of 5 stars Great book 28 Jun. 2001
By Wayne Parker - Published on
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.
20 of 21 people found the following review helpful
HASH(0x917bf710) out of 5 stars The Magic Multivariate Book 19 Nov. 1999
By A Customer - Published on
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.
9 of 9 people found the following review helpful
HASH(0x91587e64) out of 5 stars An excellent book! 21 Mar. 2002
By IfYouCantFaceRealityYouCantLead - Published on
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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