Using Multivariate Statistics / Edition 2

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More About This Textbook

Overview

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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Editorial Reviews

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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Product Details

  • ISBN-13: 9780060465711
  • Publisher: Addison-Wesley Educational Publishers, Inc.
  • Publication date: 1/28/1997
  • Edition description: Older Edition
  • Edition number: 2
  • Pages: 768

Table of Contents

1 Introduction 1
2 A guide to statistical techniques : using the book 17
3 Review of univariate and bivariate statistics 33
4 Cleaning up your act : screening data prior to analysis 60
5 Multiple regression 117
6 Analysis of covariance 195
7 Multivariate analysis of variance and covariance 243
8 Profile analysis : the multivariate approach to repeated measures 311
9 Discriminant analysis 375
10 Logistic regression 437
11 Survival/failure analysis 506
12 Canonical correlation 567
13 Principal components and factor analysis 607
14 Structural equation modeling 676
15 Multilevel linear modeling 781
16 Multiway frequency analysis 858
17 An overview of the general linear model 913
18 Time-series analysis (available online at www.ablongman.com/tabachnick5e)
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Customer Reviews

Average Rating 4.5
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Sort by: Showing all of 5 Customer Reviews

  • Anonymous

    Posted November 20, 2008

    Excellent Book!

    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!

    2 out of 2 people found this review helpful.

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  • Anonymous

    Posted June 30, 2009

    An excellent book!

    Its clear, understandable and interesting

    1 out of 2 people found this review helpful.

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  • Anonymous

    Posted January 10, 2000

    Best statistics book I have come a cross

    As a PhD student this has been the one book I use for all my statistical questions. It is clearly laid out and the author does a great job of explaining the stats. I would highly recommend it especially for people who are not extremely familiar with multivariate statistics.

    1 out of 1 people found this review helpful.

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  • Anonymous

    Posted April 13, 2009

    No text was provided for this review.

  • Anonymous

    Posted January 18, 2009

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