Beschreibung:
Interpreting and Comparing Effects in Logistic, Probit and Logit Regression shows applied researchers how to compare coefficient estimates from regression models for categorical dependent variables in typical research situations. It presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them.
Chapter 1. IntroductionChapter 2. Regression Models for A Dichotomous Dependent VariableChapter 3. Interpreting And Comparing Effects Within One EquationChapter 4. Comparing Subgroups Or Time Points: Investigating Interaction EffectsChapter 5. Causal Modeling: Estimating Total, Direct, Indirect And Spurious Effects; Using Effect Coefficients From Different (Nested) EquationsChapter 6. Concluding Remarks; Extensions, Effect Measures And Evaluation