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

Menard, Scott

ISBN 10: 0803957572 / ISBN 13: 9780803957572

Editore: SAGE Publications, Inc, 1995

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Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.35.

Codice articolo G0803957572I3N10

Dati bibliografici

• Titolo: Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences)
• Editore: SAGE Publications, Inc
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0803957572
• ISBN 13: 9780803957572
• Rilegatura: Paperback
• Condizione: Good
• Condizione della sovraccoperta: No Jacket

Descrizione articolo

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.