Applied Logistic Regression Analysis

by Scott Menard

Part of the Quantitative Applications in the Social Sciences Series

Applied Logistic Regression Analysis Synopsis

The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS included. New to this edition: * More detailed consideration of grouped as opposed to casewise data throughout the book * Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency * Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data * Updated coverage of unordered and ordered polytomous logistic regression models.

Book Information

ISBN: 9780761922087
Publication date: 5th December 2001
Author: Scott Menard
Publisher: SAGE Publications Inc
Format: Paperback
Pagination: 128 pages
Categories: Sociology & anthropology, Probability & statistics,

About Scott Menard

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 ...

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