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Using Multivariate Statistics 4th edition (Hardcover)

by Barbara G. Tabachnick (Author), Linda S. Fidell (Author)
4.0 out of 5 stars  See all reviews (4 customer reviews)

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Product details

  • Hardcover: 966 pages
  • Publisher: Pearson Education; 4 th edition edition (2001)
  • Language English
  • ISBN-10: 0321056779
  • ISBN-13: 978-0321056771
  • Product Dimensions: 24.1 x 19.8 x 4.3 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon.co.uk Sales Rank: 767,891 in Books (See Bestsellers in Books)

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Barbara G. Tabachnick
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Product Description

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, 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 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.

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 the Paperback edition.
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Customer Reviews

4 Reviews
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14 of 14 people found the following review helpful:
4.0 out of 5 stars A practical and valuable to your statistic library, 26 Mar 2004
By A Customer
This review is from: Using Multivariate Statistics (Hardcover)
This statistics book is a handy and easy to navigate guide to both basic and advanced methods of multivariate analysis. It is written in a very accessible style, and the SPSS example printouts provide clear and practical guidance for data analysis. In summary, a good blend of theory and hands on examples, and an excellent text for those studying at a postgraduate level as well a more advanced text for undergraduates.
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11 of 13 people found the following review helpful:
4.0 out of 5 stars The blue slope of statistics books, 21 Feb 2003
This review is from: Using Multivariate Statistics (Hardcover)
This book is a must for those who are about to write up the results section of their thesis related to the social sciences. Tabachnick and Fidell explain the statistical analyses from clean up to advanced structural equation modelling with relevant SPSS, SYSTAT, and SAS syntax commands to execute the analyses. These syntax files are particularly handy when T & F recommend tests that are not part of the basic knowledge researchers may have about these packages. However, if only basic knowledge is exactly what is required and/or you are a beginner at stats, I would suggest Andy Field's Discovering Statistics (SPSS only) instead. Field himself uses T & B as a resource, which highlights the totem-pole order here. Tabachnick and Fidell's book is an excellent source of reference with detailed information on each type of analysis, but not for the faint-hearted.
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8 of 11 people found the following review helpful:
4.0 out of 5 stars my favourite companion, 22 April 2003
By A Customer
T and F is a good comprehensive text for anyone who wants to gain a thorough understanding of advanced statistical techniques for social sciences. Not recommended as an intro text though, because it assumes a fairly firm bedrock of knowledge.
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Most Recent Customer Reviews

4.0 out of 5 stars Makes a complicated subject suprising easy!
Perfect for the non-mathematically minded like myself. Suprising easy to read and use. Ideal for lazy students!
Published on 15 April 2000

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