Applied Multivariate Statistical Concepts [Hardcover]

1. Multivariate Statistics? 2. Univariate and Bivariate Statistics Review? 3. Data Screening? 4. Multiple Linear Regression? 5. Logistic Regression? 6.Multivariate Analysis of Variance: Single Factor, Factorial, and Repeated Measures Designs? 7. Discriminant Analysis? 8. Cluster Analysis? 9. Exploratory Factor Analysis? 10. Path Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling? 11. Multilevel Linear Modeling? 12. Propensity Score Analysis

Praise for the First Edition:

Hahs-Vaughn provides a strong foundation for learning advanced statistical techniques by

rst explaining why each analysis is used and then supporting the how each statistical
application is conducted with a review of basic theoretical concepts and a summary of the
mathematical background for each statistical analysis. Her approach provides exactly the
right balance of theory to practice for understanding and applying multivariate statistical
analyses.
Robyn Cooper, Drake University, USA

Ideal for students in a wide variety of social science disciplines, this book approaches
multivariate statistics with an appealing mix of conceptual and technical content. Easy-
to-follow and interesting demonstrations of applications to real-world problems make it
an ideal teaching tool and will keep students engaged. The writing is clear, concise, and
informative in a way that students at the advanced undergraduate and graduate levels will
really appreciate. Unlike many other multivariate statistics textbooks, this book includes
important concepts such as cluster analysis and propensity score analysis, which are very
important areas that are too infrequently covered.
W. Holmes Finch, Ball State Ul³Ò