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Using Multivariate Statistics (5th Edition) | 
enlarge | Authors: Barbara G. Tabachnick, Linda S. Fidell Publisher: Allyn & Bacon Category: Book
List Price: $129.80 Buy New: $89.94 You Save: $39.86 (31%)
New (24) Used (16) from $84.99
Avg. Customer Rating: 15 reviews Sales Rank: 3098
Media: Hardcover Edition: 5 Number Of Items: 1 Pages: 1008 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 Availability: Usually ships in 24 hours
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Product Description
This book 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, SPSS, and SYSTAT, some not available in software manuals. 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 users 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. For those interested in statistical analysis.
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| Customer Reviews: Read 10 more reviews...
AN EXCELLENT TEXTBOOK! June 23, 2008
Direct Practice in Social Work by Scott W. Boyle, Grafton H. Hull
My instructor selected this textbook for our Direct Practice Social Work class. Throughout this class I found this textbook easy to read because the authors did not try to cram "everything but the kitchen sink" in the chapters yet this textbook was comprehensive about the subject matter. Some chapters had practical applications or exercises to reinforce the subject matter. The index was inclusive for quick reference and the layout were easy on the eyes. This textbook is a "keeper" which I'll refer to in the future.
nicely written applied book May 19, 2008 13 out of 15 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 14 out of 19 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 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 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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