Using Multivariate Statistics by Barbara G. Tabachnick, Barbara G. Tabachnick

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Textbook (Hardcover - REV)

  • 980pp
  • Sales Rank: 35,884

Textbook Information

  • ISBN-13: 9780205459384
  • Edition Description: REV
  • Edition Number: 5
  • Pub. Date: December 2005
  • Publisher: Allyn & Bacon, Inc.

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Product Details

  • Pub. Date: December 2005
  • Publisher: Allyn & Bacon, Inc.
  • Format: Textbook Hardcover, 980pp
  • Sales Rank: 35,884

Synopsis

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

Booknews

Multivariate statistics are increasingly popular statistical techniques for analyzing complicated data. This revised textbook tells students how to do an analysis--how to set it up and how to interpret results. A floppy disk is available. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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An excellent book!by Anonymous

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June 30, 2009: Its clear, understandable and interesting

Excellent Book!by Anonymous

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November 20, 2008: Using Multivariate Statistics truly hits the mark for researchers interested in applied research. As a doctoral student in the organizational sciences I often find myself frustrated with stats books that are written for statisticians, focusing on the complex mathematical equations that underpin various concepts without any true relevance to using those concepts for actual research application. These authors lay out all of the different statistical tools useful for applied research in an easy to understand discussion. Furthermore, unlike almost all others, this book includes the output generated by SPSS and SAS programs and walks you through what to look for in that output followed by how to report it for journal mauscripts. It gives you the necessary equations to understand various concepts but focuses on conceptual understanding, what to do with and look for in your data, and how to report it. I highly recommend this book!


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