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Using Multivariate Statistics (5th Edition) | 
 enlarge | Authors: Barbara G. Tabachnick, Linda S. Fidell
Publisher: Allyn & Bacon
Category: Book
List Price: $136.40
Buy New: $102.37
You Save: $34.03 (25%)
New (23) Used (9) from $102.37
Rating:  15 reviews
Sales Rank: 3252
Media: Hardcover
Edition: 5
Pages: 1008
Number Of Items: 1
Shipping Weight (lbs): 3.5
Dimensions (in): 9.3 x 7.7 x 1.8
ISBN: 0205459382
Dewey Decimal Number: 519.535
EAN: 9780205459384
ASIN: 0205459382
Publication Date: March 3, 2006
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Product Description
This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS and SPSS. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
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| Customer Reviews: Read 10 more reviews...
 Marred by Errata December 21, 2008
classicalmusiclover (manchester, ct)
The 5th edition of this popular book is, in my opinion, marred by a large number of errata (see the book's web page.) While it is common for technical books to have errata, I must raise some doubts about how carefully the book was "proofed." Needless to say, this is not exactly confidence inspiring.
 nicely written applied book May 19, 2008
Michael R. Chernick (Holland PA)
35 out of 35 found this review helpful
This is a very nicely written and popular text on applied multivariate analysis. It does not provide theory but teaches how to use and interpret results from software packages. It has a good set of examples.
So so January 30, 2007
The Doctor (The TARDIS)
17 out of 22 found this review helpful
I have taught statistics at both the undergraduate and graduate level. The graduate-level lab I teach uses this book by Tabachnick. The students do not like it, and, having been a student who used a previous edition of this book myself I can say that I did not like it either. Tabachnick's writing is far too piecemeal to be of any real use to someone trying to conceptually understand the material being learned. She presents statistics in a disjointed sort of way, spending WAY too much time discussing various statistical software packages. This latter fact, in and of itself, greatly detracts from the book in my opinion. The software stuff should be removed and placed in a supplemental workbook.
 very helpful applied statistical text June 18, 2006
Sandi Pruitt (Houston, TX United States)
6 out of 7 found this review helpful
This is an extremely useful book to have on your shelf. It provides easy to understand, applied concepts in multivariate stats, covering regression, logistic, SEM, and more. I find the syntax examples in SAS and SPSS to be especially helpful. When appropriate it also points you in the direction of more advanced references. I use it all the time and have found it to be invaluable.
My favourite statistics book May 15, 2006
Corrin Lakeland (Dunedin, New Zealand)
6 out of 8 found this review helpful
Using multivariate statistics is my favourite statistics book, and possibly my favourite textbook. This book is so clearly and simply written that it has made me comfortable tackling multivariate problems.
As I read the book, the feeling I get is that the author desperately wants me to understand what is going on. She is not showing off how much they know, she is not just writing a summary of the field, and she is not writing a textbook designed to make an instructor's life easier with plenty of problems rather than elucidating examples.
The book is a little more advanced than I typically need in my work which only rarely goes beyond bivariate cases, but it is so well written that I find I am able to determine which tests are appropriate and apply them correctly. I only wish other textbooks were written so well.
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