W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology, and Professor in the Department of Educational Psychology at Ball State University where he has been since 2003. He received his PhD from the University of South Carolina in 2002. Dr. Finch teaches courses in factor analysis, structural equation modeling, categorical data analysis, regression, multivariate statistics and measurement to graduate students in psychology and education. His research interests are in the areas of multilevel models, latent variable modeling, methods of prediction and classification, and nonparametric multivariate statistics. Holmes is also an Accredited Professional Statistician (PStat ®).

"...the book overall represents a thoughtful and integrative effort to present parametric and nonparametric approaches within a unified framework. For non-statisticians, it can serve as an accessible guide to surveying a range of alternative methods without the technical demands of more specialized texts. The book may prove useful for motivated readers who are willing to supplement the material with more advanced statistical references (e.g., Wilcox Citation2021). In addition, instructors may also find it a helpful resource when choosing which nonparametric methods to teach for students in applied fields."-Inhan Kang, The American Statistician, 2026.

• 1. Introduction2. Theoretical Foundation3. One Sample Parameter Estimation4. Comparing Measures of Central Tendency Between Two Independent Groups5. Comparing Measures of Central Tendency Between More Than Two Independent Groups6. Factorial Designs7. Easures Analysis of Variance and Split Plot Designs8. Correlation9. Ordinary Least Squares Linear Regression10. Robust Linear Regression Models11. Regression for Dichotomous Dependent Variables12. Advanced Issues in Regression Modeling13. Multilevel Modeling

W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology, and Professor in the Department of Educational Psychology at Ball State University where he has been since 2003. He received his PhD from the University of South Carolina in 2002. Dr. Finch teaches courses in factor analysis, structural equation modeling, categorical data analysis, regression, multivariate statistics and measurement to graduate students in psychology and education. His research interests are in the areas of multilevel models, latent variable modeling, methods of prediction and classification, and nonparametric multivariate statistics. Holmes is also an Accredited Professional Statistician (PStat ®).

"...the book overall represents a thoughtful and integrative effort to present parametric and nonparametric approaches within a unified framework. For non-statisticians, it can serve as an accessible guide to surveying a range of alternative methods without the technical demands of more specialized texts. The book may prove useful for motivated readers who are willing to supplement the material with more advanced statistical references (e.g., Wilcox Citation2021). In addition, instructors may also find it a helpful resource when choosing which nonparametric methods to teach for students in applied fields."-Inhan Kang, The American Statistician, 2026.

• 1. Introduction2. Theoretical Foundation3. One Sample Parameter Estimation4. Comparing Measures of Central Tendency Between Two Independent Groups5. Comparing Measures of Central Tendency Between More Than Two Independent Groups6. Factorial Designs7. Easures Analysis of Variance and Split Plot Designs8. Correlation9. Ordinary Least Squares Linear Regression10. Robust Linear Regression Models11. Regression for Dichotomous Dependent Variables12. Advanced Issues in Regression Modeling13. Multilevel Modeling