Using Multivariate Statistics, Pearson New International Edition, 6th edition

Published by Pearson (August 27, 2013) © 2014

  • Barbara G. Tabachnick California State University - Northridge
  • Linda S. Fidell California State University - Northridge
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A Practical Approach to using Multivariate Analyses

Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate 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 text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set – when, why, and how to do it.

Learning Goals

Upon completing this book, readers should be able to:

  • Learn to conduct numerous types of multivariate statistical analyses
  • Find the best technique to use
  • Understand Limitations to applications
  • Learn how to use SPSS and SAS syntax and output

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Samples

Preview sample pages from Using Multivariate Statistics
  • Chapter 1 Introduction
  • Chapter 2 A Guide to Statistical Techniques: Using the Book
  • Chapter 3 Review of Univariate and Bivariate Statistics
  • Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis
  • Chapter 5 Multiple Regression
  • Chapter 6 Analysis of Covariance
  • Chapter 7 Multivariate Analysis of Variance and Covariance
  • Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures
  • Chapter 9 Discriminant Analysis
  • Chapter 10  Logistic Regression
  • Chapter 11  Survival/Failure Analysis
  • Chapter 12  Canonical Correlation
  • Chapter 13  Principal Components and Factor Analysis
  • Chapter 14  Structural Equation Modeling
  • Chapter 15  Multilevel Linear Modeling
  • Chapter 16  Multiway Frequency Analysis

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