Applied Logistic Regression Analysis

By:

Scott Menard

Format:

Paperback / softback

Series:

Quantitative Applications in the Social Sciences

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Description

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 are 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

Author Biography:

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.

Release date Australia

December 5th, 2001

Author

Scott Menard

Audience

Tertiary Education (US: College)

Edition

2nd Revised edition

Pages

128

Series

Quantitative Applications in the Social Sciences

Dimensions

140x216x13

ISBN-13

9780761922087

Product ID

2452447

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