6th Edition. — Pearson Education, Inc. 2012. — 984 p. — ISBN: 0205890814, 0205849571.
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.
A Guide to Statistical Techniques: Using the Book
Review of Univariate and Bivariate Statistics
Cleaning Up Your Act: Screening Data Prior to Analysis
Multiple Regression
Analysis of Covariance
Multivariate Analysis of Variance and Covariance
Profile Analysis: The Multivariate Approach to Repeated Measures
Discriminant Analysis
Logistic Regression
Survival/Failure Analysis
Canonical Correlation
Principal Components and Factor Analysis
Structural Equation Modeling
Multilevel Linear Modeling
Multiway Frequency Analysis
An Overview of the General Linear Model
Time-Series Analysis (available online at www. pearsonhighered.com/tabachnick)
Appendix A. A Skimpy Introduction to Matrix Algebra
Appendix B. Research Designs for Complete Examples
Appendix C. Statistical Tables