Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression

Chapter 1. Introduction Chapter 2. Regression Models for A Dichotomous Dependent Variable Chapter 3. Interpreting And Comparing Effects Within One Equation Chapter 4. Comparing Subgroups Or Time Points: Investigating Interaction Effects Chapter 5. Causal Modeling: Estimating Total, Direct, Indirect And Spurious Effects; Using Effect Coefficients From Different (Nested) Equations Chapter 6. Concluding Remarks; Extensions, Effect Measures And Evaluation

This book has very clear, pristine explanations of topics such as how DRMs work, great numerical methods for maximizing and specifying, and helpful explanatory tests and interpretative effects, all written at an intermediate level. The discussion of various ways of interpreting coefficients in each of the models is the most useful part of the text. While many other texts touch on the difficulties of interpreting coefficients and perhaps offer an approach or two, the authors of this volume thoroughly review multiple approaches common and unique to each of the models. -- Kara Sutton This book has a well-organized structure and includes coverage of useful information and skills in the logistic regression. Scholars can apply these models to their own research projects. -- Jingshun Zhang