"Hah-Vaughn provides a strong foundation for learning advanced statistical techniques by first 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
"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
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
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. Moreover, she makes sure that students will have the necessary tools to see their projects completed from start to finish by providing innovative instructional and learning strategies specific to relevant fields 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 Olivárez, Jr., University of Texas at El Paso. "Hah-Vaughn provides a strong foundation for learning advanced statistical techniques by first 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
"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
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
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. Moreover, she makes sure that students will have the necessary tools to see their projects completed from start to finish by providing innovative instructional and learning strategies specific to relevant fields 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 Olivárez, Jr., University of Texas at El Paso
"Unlike the competitors ... this text will REALLY be applied, including examples, SPSS screenshots, etc. ... The learning tools are stronger [ and]... the ... table of contents is more thorough [ which] allows instructors to pick and choose those topics most important for their particular course. ... The author writes quite clearly. ... I will certainly be using it in my multivariate courses. ... This book makes a significant contribution to the field." - Richard Lomax, The Ohio State University, USA
"This book provides quite a few advantages over the existing books that are commonly used in the field. ... It will help fill a void that is currently there for teaching graduate levels statistics. The [ addition of] a few 'newer' techniques will make this a very popular book. ... The examples were well done and the information presented [ was] accurate and easy to understand. ... Having the information on how to right results section in APA format is also very helpful. ... I would use this [ book] in my classroom." Pamela Davis Kean, University of Michigan, USA
"The text and examples were very clear. One of the major strengths of the book is the inclusion of propensity and latent trait modeling. ... Due to the less 'mathematical' and more practical approach to the subject matter, the book will fill a needed niche. ... It is more complete than other similar texts and the SPSS examples make it easier to demonstrate many of the concepts." Robert Triscari, Florida Gulf Coast University, USA
"A text like this would be used in an applied statistics course in many different social science disciplines. ... I like the inclusion of the screen shots and their annotation the power material [ and] the APA-style write ups. ... I like the coverage and would certainly be willing to consider it as a text." William B. Ware, University of North Carolina Chapel Hill, USA
"The examples were relevant and easy to understand. ... I may make the book the text book for my Multivariate course [ which] has MBA students. ...The author is technically ... very competent." Rodney K. Schutz, Georgia State University, USA
