Using Multivariate Statistics (5th Edition) |  | Authors: Barbara G. Tabachnick, Linda S. Fidell
Publisher: Allyn & Bacon
List Price: $146.40
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Seller: Amazon.com
Rating:  18 reviews
Sales Rank: 43351
Media: Hardcover
Edition: 5
Pages: 1008
Number Of Items: 1
Shipping Weight (lbs): 3.5
Dimensions (in): 9.5 x 7.7 x 1.6
ISBN: 0205459382
Dewey Decimal Number: 519.535
EAN: 9780205459384
ASIN: 0205459382
Publication Date: March 3, 2006
Availability: Usually ships in 24 hours
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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:
Showing reviews 1-5 of 18
 The best one July 18, 2009
D. TORRES (N Jersey)
This is the best book about MS that I've ever read. There are a bunch of books (most of them Ebooks) which just scare and unmotivate you when you open up any page because they are filled up with complex formulas and ZERO examples assuming you understand everything. This is a must for everyone who really wants to learn multivariate statistics..
A Lifesaver!! June 13, 2009
Kristen (New Haven, CT)
This book has been at my side throughout my entire dissertation process. It clearly explains different statistical methods, analysis assumptions, and interpretive issues. It also provides sample write-ups, which have been helpful. It covers basic data screening techniques and simpler analyses such as factor analysis and multiple regression to more advanced topics such as multi-level linear modeling. Most importantly, it explains the major topics in plain English. It is advanced enough to not be insulting to users who have some familiarity in statistics. However, the writing is not so technical as to be incomprehensible to those without advanced statistics degrees. I highly recommend this book to graduate students and advanced researchers and will continue to use it as a valuable resource throughout my research career.
Valued Resource January 23, 2009
Greg V. (Minnesota, USA)
I've bought a lot of stats books over the years - and this is one I keep going back to. It fills a nice gap between introductory stats books and advanced texts that address one particular method/topic.
I like that each chapter has, more or less, three parts: 1) a conceptual part, 2) a math part, and 3) a stats program part. Some parts may be more or less useful to you. When reviewing, I usually like to stare at, and mentally work through, the math. I also like the stats program parts as syntax for software is often provided.
This being said, if I get really into a topic (e.g., using mixed models to examine change over time), I will go to a more in-depth text. However, reading the T&F summary first does help give me a broader conceptual framework on which to hang the details of more in-depth materials.
Lastly, I also like the chapter on data cleaning and checking basic (univariate) stats before continuing on with more complex analyses. I work with other people who take a very point-and-click, magic button, get the stat approach to data analysis. You know, just looking for that p-value for a very specific term. I like having something to show that gives steps for getting to know your data better than that. It leads to better practice, IMHO.
 Marred by Errata December 21, 2008
classicalmusiclover (manchester, ct)
2 out of 2 found this review helpful
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)
38 out of 39 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.
Showing reviews 1-5 of 18
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