Using Multivariate Statistics [Hardcover]

Barbara G. Tabachnick (Author), Linda S. Fidell (Author)

Book Description

ISBN-10: 0673994147 | ISBN-13: 978-0673994141 | Publication Date: January 1996 | Edition: 3rd

Provides an introduction to today's statistics and multivariate techniques. Assuming only a limited knowledge of higher-level mathematics, it provides an account of the considerations involved in determining the most appropriate technique, screening data for compliance, preparing follow-up analyses and preparing the results for journal publication.

Editorial Reviews

From the Back Cover

Using Multivariate Statistics 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.

This long-awaited revision reflects extensive updates throughout, especially in the areas of Data Screening (Chapter 4), Multiple Regression (Chapter 5), and Logistic Regression (Chapter 12). A brand new chapter (Chapter 15) on Multilevel Linear Modeling explains techniques for dealing with hierarchical data sets. Also included are syntax and output for accomplishing many analyses through the most recent releases of SAS and SPSS.

As in past editions, each technique chapter:

• discusses tests for assumptions of analysis (and procedures for dealing with their violation)
• presents a small example, hand-worked for the most basic analysis
• describes varieties of analysis
• discusses important issues (such as effect size)
• provides an example with a real data set from tests of assumptions to write-up of a results section
• compares features of relevant programs

--This text refers to an alternate Hardcover edition.

Product Details

• Hardcover: 880 pages
• Publisher: HarperCollins Publishers; 3rd edition (January 1996)
• Language: English
• ISBN-10: 0673994147
• ISBN-13: 978-0673994141
• Product Dimensions: 9.5 x 7.4 x 2.2 inches
• Shipping Weight: 4 pounds
• Average Customer Review: 4.5 out of 5 stars  See all reviews (19 customer reviews)
• Amazon Best Sellers Rank: #417,180 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

87 of 89 people found the following review helpful:

4.0 out of 5 stars Good How to Do Books, August 22, 2001

By 

Dr. R. Scott Evans (Portland, OR United States) - See all my reviews

This review is from: Using Multivariate Statistics (4th Edition) (Hardcover)

I have used earlier versions of this book throughout my professional life. It is a handy quick reference for the more advanced practitioner who wants to explore techniques that they have not used before. Or, to refresh one's memory on techniques that have not been used for awhile. This book is also very useful for training junior practitioners in multivariate techniques. There is enough detail to satisfy those asking more detailed questions about techniques without overwelming those less inclined to pore over mathematical formula. Steps and tests are well laid out, with enough discussion so that the reader understands the value and importance of working through the standard routines and assumption checks. It also offers important pratical steps in how to design and run specific statistical procedures in the common statistical packages.

Given the increasingly user-friendly statistical software on the market, this book offers a quick antidote for the rising number of button pushers, by showing budding statisticians the implications of using a technique ignorantly. This is done without making the technique inscrutable to the reader.

While the new edition offers some additional information - the cost conscious buyer could easily find considerable value in older editions.

63 of 66 people found the following review helpful:

5.0 out of 5 stars One one of the best applied stat. books ever, excellent!, April 6, 2000

By 

Dean McKenzie - See all my reviews

This review is from: Using Multivariate Statistics (Hardcover)

Many statistical books, particularly multivariate ones,are, - let's face it- boring, heavy-going and ugly. Formulae are used as if to terrify and frighten, not to illustrate or show, and textual passages are all too often chock full of outright fibs such as 'it will be clear that', or, 'the reader will see that' or - a sure sign that something truly monstrous is to follow - 'it is obvious that'. Not so Tabachnick and Fidell's great book. Everything is clear and well set-out, with lots of real examples. Unlike many textbooks, it does not assume that you got your data out of a textbook, it shows how to analyze real data, how to check statistical assumptions and what to do about violations of those assumptions. Although some of the information on statistical packages may now be a little dated, the program inputs and outputs are supplied, as are written-up reports of the results, similar to how they would appear in a socio-behavioral journal. I've been using the various three editions of this truly wonderful book since 1985 and think it should be on the desk of every professional, aspiring or sometime data analyst or statistician!

42 of 44 people found the following review helpful:

4.0 out of 5 stars nicely written applied book, May 19, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Using Multivariate Statistics (4th Edition) (Hardcover)

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.