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
Products list

Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
Products list

Access details

  • Instant access once purchased
  • Fulfilled by VitalSource

Title overview

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.

Table of contents

  • 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

Need help?Get in touch