ISBN-10:
1412974836
ISBN-13:
9781412974837
Pub. Date:
04/29/2009
Publisher:
SAGE Publications
Logistic Regression: From Introductory to Advanced Concepts and Applications / Edition 1

Logistic Regression: From Introductory to Advanced Concepts and Applications / Edition 1

by Scott Menard

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Product Details

ISBN-13: 9781412974837
Publisher: SAGE Publications
Publication date: 04/29/2009
Edition description: New Edition
Pages: 392
Product dimensions: 7.50(w) x 9.20(h) x 1.00(d)
Age Range: 9 - 12 Years

About the Author

Scott Menard is a Professor of Criminal Justice at Sam Houston State University and a research associate in the Institute of Behavioral Science at the University of Colorado, Boulder. He received his A.B. at Cornell University and his Ph.D. at the University of Colorado, Boulder, both in Sociology. His interests include quantitative methods and statistics, life course criminology, substance abuse, and criminal victimization. His publications include Longitudinal Research (second edition Sage 2002), Applied Logistic Regression Analysis (second edition Sage 2002), Good Kids from Bad Neighborhoods (Cambridge University Press 2006, with Delbert S. Elliott, Bruce Rankin, Amanda Elliott, William Julius Wilson, and David Huizinga), Youth Gangs (Charles C. Thomas 2006, with Robert J. Franzese and Herbert C. Covey), and the Handbook of Longitudinal Research (Elsevier 2008), as well as other books and journal articles in the areas of criminology, delinquency, population studies, and statistics.

Table of Contents

Preface
Chapter 1. Introduction: Linear Regression and Logistic Regression
Chapter 2. Log-Linear Analysis, Logit Analysis, and Logistic Regression
Chapter 3. Quantitative Approaches to Model Fit and Explained Variation
Chapter 4. Prediction Tables and Qualitative Approaches to Explained Variation
Chapter 5. Logistic Regression Coefficients
Chapter 6. Model Specification, Variable Selection, and Model Building
Chapter 7. Logistic Regression Diagnostics and Problems of Inference
Chapter 8. Path Analysis With Logistic Regression (PALR)
Chapter 9. Polytomous Logistic Regression for Unordered Categorical Variables
Chapter 10. Ordinal Logistic Regression
Chapter 11. Clusters, Contexts, and Dependent Data: Logistic Regression for Clustered Sample Survey Data
Chapter 12. Conditional Logistic Regression Models for Related Samples
Chapter 13. Longitudinal Panel Analysis With Logistic Regression
Chapter 14. Logistic Regression for Historical and Developmental Change Models: Multilevel Logistic Regression and Discrete Time Event History Analysis
Chapter 15. Comparisons: Logistic Regression and Alternative Models
Appendix A: ESTIMATION FOR LOGISTIC REGRESSION MODELS
Appendix B: PROOFS RELATED TO INDICES OF PREDICTIVE EFFICIENCY
Appendix C: ORDINAL MEASURES OF EXPLAINED VARIATION
References
Index

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