Table of Contents

1. Introduction

2. Matrix Algebra

3. Multiple Regression for Prediction

4. Two-Group Multivariate Analysis of Variance

5. K-Group MANOVA: A Priori and Post-Hoc Procedures

6. Assumptions in MANOVA

7. Factorial ANOVA and MANOVA

8. Analysis of Covariance

9. Exploratory Factor Analysis

10. Discriminant Analysis

11. Binary Logistic Regression

12. Repeated-Measures Analysis

13. Hierarchical Linear Modeling

14. Multivariate Multilevel Modeling

15. Canonical Correlation

16. Structural Equation Modeling

Appendix A: Statistical Tables

Appendix B: Obtaining Nonorthogonal Contrasts in Repeated Measures Design

Answers to Half of the Text problems

About the Author

Keenan Pituch is Associate Professor in the Quantitative Methods Area of the Department of Educational Psychology at the University of Texas at Austin.

James P Stevens is Professor Emeritus at University of Cincinatti.

Reviews

The new edition maintains the tradition of the great Stevens book (with clear examples using both SAS/SPSS) while incorporating important new information. I also appreciate that this new edition gives more attention to the APA-style write-ups. I look forward to using the 6th edition of this text in my class. --Chris Oshima, Professor, Georgia State UniversityThis new edition of Applied Multivariate Statistics for the Social Sciences is even more comprehensive; covering major advanced topics in the social sciences combined with excellent computer-based examples, in-depth discussions, and example write-ups. Yet, it is written in an accessible way that students will find useful and comprehensible.--Namok Choi, Professor, University of Louisville

The new edition maintains the tradition of the great Stevens book (with clear examples using both SAS/SPSS) while incorporating important new information. I also appreciate that this new edition gives more attention to the APA-style write-ups. I look forward to using the 6th edition of this text in my class. -Chris Oshima, Georgia State University, USAThis new edition of Applied Multivariate Statistics for the Social Sciences is even more comprehensive; covering major advanced topics in the social sciences combined with excellent computer-based examples, in-depth discussions, and example write-ups. Yet, it is written in an accessible way that students will find useful and comprehensible. -Namok Choi, University of Louisville, USAWhile Stevens has always been my "go to" book for multivariate statistics, the revised 6th Edition by Pituch and Stevens improves significantly on the previous version with key chapter revisions and additions, as well as new analysis summaries and results write-ups. -Philip Schatz, Saint Joseph's University, USAThe revised 6th edition by Pituch and Stevens is a very valuable and well-written text that provides students with all they need to understand and apply multivariate data analysis. The authors did a great job in revising the chapters, and the new coverage of binary logistic regression, multivariate multilevel modeling, and missing data analysis are a "must" for both applied researchers and graduate students. -Karin Schermelleh-Engel, Goethe University, Germany