Published by Pearson (August 27, 2013) © 2014
Barbara Tabachnick | Linda FidellA 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