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.
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. 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
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
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