Sage University Paper in the series: Quanitative Applications in the Social Sciences. Series editors: John L. Sullivan, University of Minnesota and Richard G. Niemi, University of Rochester.

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Titolo

Applied Logistic Regression Analysis

Editore

SAGE Publications, Newbury Park

Data di pubblicazione

1995

Lingua

Inglese

ISBN 10

0803957572

ISBN 13

9780803957572

Rilegatura

Trade Paperback

Edizione

First

Condizione

Very Good

Condizione della sovraccoperta

wraps

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Riassunto

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.

Informazioni sull?autore

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.

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