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.

• 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 byfirst explaining ‘why’ each analysis is used and then supporting the ‘how’ each statisticalapplication is conducted with a review of basic theoretical concepts and a summary of themathematical background for each statistical analysis. Her approach provides exactly theright balance of theory to practice for understanding and applying multivariate statisticalanalyses.”Robyn Cooper, Drake University, USA“Ideal for students in a wide variety of social science disciplines, this book approachesmultivariate statistics with an appealing mix of conceptual and technical content. Easy-to-follow and interesting demonstrations of applications to real-world problems make itan ideal teaching tool and will keep students engaged. The writing is clear, concise, andinformative in a way that students at the advanced undergraduate and graduate levels willreally appreciate. Unlike many other multivariate statistics textbooks, this book includesimportant concepts such as cluster analysis and propensity score analysis, which are veryimportant areas that are too infrequently covered.”W. Holmes Finch, Ball State University, USA“The text provides comprehensive coverage of multivariate statistical techniques, withexplanations that are both concise and clear. The step-by-step instructions and annotatedoutputs will continue to serve as excellent resources for students even after completing thecourse.”Sylvie Mrug, University of Alabama at Birmingham, USA“Applied Multivariate Statistical Concepts is a great addition to . . . textbooks in the socialand behavioral sciences for graduate students and researchers. The author took extremecare 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 strategiesspecific to relevant fields of study. Students will be challenged by the topics but also guidedthroughout the research enterprise with step-by-step instructions including the appropriateuse of various statistical software applications on real data sets.”Arturo Olivárez, Jr., University of Texas at El Paso, USA

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.

• 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 byfirst explaining ‘why’ each analysis is used and then supporting the ‘how’ each statisticalapplication is conducted with a review of basic theoretical concepts and a summary of themathematical background for each statistical analysis. Her approach provides exactly theright balance of theory to practice for understanding and applying multivariate statisticalanalyses.”Robyn Cooper, Drake University, USA“Ideal for students in a wide variety of social science disciplines, this book approachesmultivariate statistics with an appealing mix of conceptual and technical content. Easy-to-follow and interesting demonstrations of applications to real-world problems make itan ideal teaching tool and will keep students engaged. The writing is clear, concise, andinformative in a way that students at the advanced undergraduate and graduate levels willreally appreciate. Unlike many other multivariate statistics textbooks, this book includesimportant concepts such as cluster analysis and propensity score analysis, which are veryimportant areas that are too infrequently covered.”W. Holmes Finch, Ball State University, USA“The text provides comprehensive coverage of multivariate statistical techniques, withexplanations that are both concise and clear. The step-by-step instructions and annotatedoutputs will continue to serve as excellent resources for students even after completing thecourse.”Sylvie Mrug, University of Alabama at Birmingham, USA“Applied Multivariate Statistical Concepts is a great addition to . . . textbooks in the socialand behavioral sciences for graduate students and researchers. The author took extremecare 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 strategiesspecific to relevant fields of study. Students will be challenged by the topics but also guidedthroughout the research enterprise with step-by-step instructions including the appropriateuse of various statistical software applications on real data sets.”Arturo Olivárez, Jr., University of Texas at El Paso, USA

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.

• 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 byfirst explaining ‘why’ each analysis is used and then supporting the ‘how’ each statisticalapplication is conducted with a review of basic theoretical concepts and a summary of themathematical background for each statistical analysis. Her approach provides exactly theright balance of theory to practice for understanding and applying multivariate statisticalanalyses.”Robyn Cooper, Drake University, USA“Ideal for students in a wide variety of social science disciplines, this book approachesmultivariate statistics with an appealing mix of conceptual and technical content. Easy-to-follow and interesting demonstrations of applications to real-world problems make itan ideal teaching tool and will keep students engaged. The writing is clear, concise, andinformative in a way that students at the advanced undergraduate and graduate levels willreally appreciate. Unlike many other multivariate statistics textbooks, this book includesimportant concepts such as cluster analysis and propensity score analysis, which are veryimportant areas that are too infrequently covered.”W. Holmes Finch, Ball State University, USA“The text provides comprehensive coverage of multivariate statistical techniques, withexplanations that are both concise and clear. The step-by-step instructions and annotatedoutputs will continue to serve as excellent resources for students even after completing thecourse.”Sylvie Mrug, University of Alabama at Birmingham, USA“Applied Multivariate Statistical Concepts is a great addition to . . . textbooks in the socialand behavioral sciences for graduate students and researchers. The author took extremecare 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 strategiesspecific to relevant fields of study. Students will be challenged by the topics but also guidedthroughout the research enterprise with step-by-step instructions including the appropriateuse of various statistical software applications on real data sets.”Arturo Olivárez, Jr., University of Texas at El Paso, USA