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
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.
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
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