Applied Logistic Regression Analysis
Scott Menard(Editor)
SAGE Publications Inc (Publisher)
1st Edition
Published on 23. August 1995
Book
Paperback/Softback
104 pages
978-0-8039-5757-2 (ISBN)
Article exhausted; check for reprint
Description
Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.
More details
Series
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 216 mm
Width: 140 mm
Weight
129 gr
ISBN-13
978-0-8039-5757-2 (9780803957572)
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Schweitzer Classification
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New editions

Scott Menard
Applied Logistic Regression Analysis
Book
12/2001
2nd Edition
SAGE Publications Inc
€52.50
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Person
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.
Content
Linear Regression and the Logistic Regression Model
Summary Statistics for Evaluating the Logistic Regression Model
Interpreting the Logistic Regression Coefficients
An Introduction to Logistic Regression Diagnostics
Polytomous Logistic Regression and Alternatives to Logistic Regression
Summary Statistics for Evaluating the Logistic Regression Model
Interpreting the Logistic Regression Coefficients
An Introduction to Logistic Regression Diagnostics
Polytomous Logistic Regression and Alternatives to Logistic Regression