Applied Multivariate Statistical Concepts

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 University, USA

"The text provides comprehensive coverage of multivariate statistical techniques, with
explanations that are both concise and clear. The step-by-step instructions and annotated
outputs will continue to serve as excellent resources for students even after completing the
course."
Sylvie Mrug, University of Alabama at Birmingham, USA

"Applied Multivariate Statistical Concepts is a great addition to . . . textbooks in the social
and behavioral sciences for graduate students and researchers. The author took extreme
care in selecting key pedagogical methods and statistical procedures in current use. More-
over, she makes sure that students will have the necessary tools to see their projects com-
pleted from start to ?nish by providing innovative instructional and learning strategies
speci?c to relevant ?elds of study. Students will be challenged by the topics but also guided
throughout the research enterprise with step-by-step instructions including the appropriate
use of various statistical software applications on real data sets."
Arturo Olivarez, Jr., University of Texas at El Paso, USA