Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences, Vol 106)

Menard, Scott:

ISBN 10: 0803957572 / ISBN 13: 9780803957572

Published by SAGE Publications Inc 01.08.1995., 1995

About this Item

104 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 135 50,3 x 32,5 x 0,5 cm, Taschenbuch.

Seller Inventory # 342890

Bibliographic Details

• Title: Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences, Vol 106)
• Publisher: SAGE Publications Inc 01.08.1995.
• Publication Date: 1995
• Language: English
• ISBN 10: 0803957572
• ISBN 13: 9780803957572
• Binding: Soft cover
• Condition: Gut
• Weight: 135 grams
• Seller catalogs:
  • Alle Bücher

About this title

Synopsis

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.

About the Author

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.