Jacques A. P. Hagenaars, Steffen Kuhnel, Hans-Jurgen Andress

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Quantitative Applications in the Social Sciences
• Verlag: SAGE Publications Inc
• 1. Auflage
• Seitenzahl: 204
• Erscheinungstermin: 11. Juni 2024
• Englisch
• Abmessung: 215mm x 139mm x 13mm
• Gewicht: 266g
• ISBN-13: 9781544364018
• ISBN-10: 1544364016
• Artikelnr.: 69076710

Inhaltsangabe

Chapter 1. Introduction
Purpise
Content
Causality
Chapter 2. Regression Models for A Dichotomous Dependent Variable
Introduction
Discrete Response Model - DRM
Latent Variable Model - LVM
Inserting Mavericks, "Orthogonal" Independent Variables, Into Equations
Chapter 3. Interpreting And Comparing Effects Within One Equation
Comparing Effects Within a Single LVM Equation
Comparing Effects Within a Single DRM Equation
Causal Interpretations in LVM and DRM Logistic Regression
Chapter 4. Comparing Subgroups Or Time Points: Investigating Interaction
Effects
Interaction Effects in LVM
Interaction Effects in DRM
Interaction and Causal Analysis
Chapter 5. Causal Modeling: Estimating Total, Direct, Indirect And Spurious
Effects; Using Effect Coefficients From Different (Nested) Equations
Introduction
LVM
DRM
Casual Modeling
Chapter 6. Concluding Remarks; Extensions, Effect Measures And Evaluation
Polytomous Dependent Variable
How to Measure Effects in Logistic Regression
Concluding Remarks