Applied Logistic Regression Analysis by Scott Menard

Applied Logistic Regression Analysis by Scott Menard

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.

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.

SKU	Non disponible
ISBN 13	9780803957572
ISBN 10	0803957572
Titre	Applied Logistic Regression Analysis
Auteur	Scott Menard
Série	Quantitative Applications In The Social Sciences
État	Non disponible
Type de reliure	Paperback
Éditeur	SAGE Publications Inc
Année de publication	1995-08-23
Nombre de pages	104
Note de couverture	La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note	Non disponible