Applied Logistic Regression Analysis

Scott Menard (Autor)

Buch | Softcover

128 Seiten

2001 | 2nd Revised edition
SAGE Publications Inc (Verlag)
978-0-7619-2208-7 (ISBN)

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The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included.

More detailed consideration of grouped as opposed to case-wise data throughout the book
Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency
Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data

Updated coverage of unordered and ordered polytomous logistic regression models.

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.

Series Editor′s Introduction
Author′s Introduction to the Second Edition
1. Linear Regression and Logistic Regression Model
2. Summary Statistics for Evaluating the Logistic Regression Model
3. Interpreting the Logistic Regression Coefficients
4. An Introduction to Logistic Regression Diagnosis
Ch 5. Polytomous Logistic Regression and Alternatives to Logistic Regression
6. Notes
Appendix A
References
Tables
Figures

Erscheint lt. Verlag	5.12.2001
Reihe/Serie	Quantitative Applications in the Social Sciences
Verlagsort	Thousand Oaks
Sprache	englisch
Maße	139 x 215 mm
Gewicht	140 g
Themenwelt	Mathematik / Informatik ► Mathematik
Themenwelt	Sozialwissenschaften ► Soziologie
ISBN-10	0-7619-2208-3 / 0761922083
ISBN-13	978-0-7619-2208-7 / 9780761922087
Zustand	Neuware