"Spline variables and their interactions play a crucial role in the field of social science. This book offers a comprehensive and detailed exploration of this method, providing valuable insights and information for researchers in the field."
--Man-Kit Lei, The University of Georgia
This volume addresses the issue of linear constraints in regression modeling. Author Roger A. Wojtkiewicz uses the method of knotted spline variables (also known as piecewise linear regression) and a new method involving group spline variables to model nonlinearity in a variety of situations. Using spline variables to model nonlinearity allows researchers to specify unrestricted models for models that involve interval variables, allowing for greater flexibility in modeling any possible interaction.
Arvustused
Spline variables and their interactions play a crucial role in the field of social science. This book offers a comprehensive and detailed exploration of this method, providing valuable insights and information for researchers in the field. -- Man-Kit Lei In regression analyses, most books on interactions involving an interval variable knowingly or unknowingly often assume that the interaction effect is linear and the same for all participants in each of the created groups to explain the interaction effect. However, this may not always be the case. Splines, that are widely used to model non-linearity in regression models have not been extensively used to explain interaction effects. This easy-to-read book by Dr. Roger Wojtkiewicz, which has a strong conceptual framework, provides empirical evidence illustrating the use of knotted splines and group splines in modeling nonlinearity in interaction models. This book will be a valuable addition to the library of any analyst with at least intermediate knowledge of regression models who is interested in explaining regression effects across groups using interactions. -- Duke Appiah
Series Editor Introduction
Acknowledgments
About the Author
Chapter 1: Introduction
Main Focus of the Book
The Necessity to Provide Theoretical Justifications for Interactions
Plan of the Book
Chapter 2: Basics of Spline Variables
Derivation of Knotted Spline Model
General Equation for Knotted Spline Model
Empirical Example for Knotted Spline Model
Derivation of Group Spline Model
General Equation for Group Spline Model
Empirical Example of Group Spline Model
Conceptual Difference Between Knotted Splines and Group Splines
Summary
Chapter 3: Applications of Spline Variables
Modeling an Interval Variable With a Smaller Number of Values
Modeling an Interval Variable With a Larger Number of Values
Problem in Using Dummy Variables to Model Interval Variable
Advantages of Spline Variables Over Polynomial Variables
Interrupted Regression and Spline Variables
General Equation for Interrupted Regression Model
Empirical Example of Interrupted Regression Model
Summary
Chapter 4: Interaction Between Interval and Categorical Variables
Derivation of Model for Interval Conditioned on Categorical Interaction
General Equation for Interval Conditioned on Categorical Interaction
Model
Empirical Example for Interval Conditioned on Categorical Interaction
Model
Derivation of Model for Categorical Conditioned on Interval Interaction
General Equation for Categorical Conditioned on Interval Interaction
Model
Empirical Example for Categorical Conditioned on Interval Interaction
Model
Summary
Chapter 5: Interaction Between Interval Variables
Derivation of Model for Interval and Interval Interaction With Fewer
Values
General Equation for Interval Conditioned on Interval Interaction
Empirical Example for Interval and Interval Interaction With Fewer Values
Derivation of Model for Interval and Interval Interaction With Many
Values
Empirical Example for Interval and Interval Interaction With Many Values
Summary
Chapter 6: Concluding Remarks
Key Points
Final Comments
Appendix 1: Example of Derivation of Interaction Model With Interval Variable
Conditioned on Categorical Variable From Dummy Variable Model
Appendix 2: Example of Derivation of Interaction Model With Interval Variable
Conditioned on Interval Variable From Dummy Variable Model
References
Index
Roger A. Wojtkiewicz is a professor in the Department of Sociology at Ball State University in Muncie, Indiana. He spent the first 12 years of his career in the Department of Sociology at Louisiana State University and has since been at Ball State where he served as department chairperson for 12 years. At LSU, he taught undergraduate statistics and a graduate course in regression modeling in the PhD program. At Ball State, he has taught both the first and second semester courses in the statistics sequence in the masters program. He was trained as a quantitative methodologist in the graduate sociology program at the University of WisconsinMadison. He is author of Elementary Regression Modeling: A Discrete Approach published by Sage Publications in 2017.
