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Multivariate Data Analysis (5th Edition)

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Title: Multivariate Data Analysis (5th Edition)
by Joseph F Hair, Ronald L Tatham, Rolph E. Anderson, William Black
ISBN: 0-13-894858-5
Publisher: Prentice Hall
Pub. Date: 23 March, 1998
Format: Hardcover
Volumes: 1
List Price(USD): $137.33
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Average Customer Rating: 4.7 (10 reviews)

Customer Reviews

Rating: 5
Summary: A GREAT reference
Comment: 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.

Rating: 5
Summary: An excellent book!
Comment: 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.

Rating: 5
Summary: A very useful reference in Multivariate Statistical Analysis
Comment: The more powerful and advance research techniques becomes, the more easy it is for an average analyst to go astray. This is what the text is aimed for: it helps build a very solid conceptual foundation for researchers when using multivariate analysis. Concepts are clearly delineated and criterias to using / NOT using a certain techique are also fully outlined (Chapter 1&2). Incidentally, this is not a step-by-step or so-called quick-fix manual that guides the readers what buttons to look for in the SPSS/SAS.

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