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9781032276076

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Praise for the First Edition: “Hahs-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, 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 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, USA

Author Information

Debbie L. Hahs-Vaughn is a Professor in the University of Central Florida’s Methodology, Measurement, and Analysis Program in the College of Community Innovation and Education, USA.

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