Applied Logistic Regression Analysis by Scott Menard (English) Paperback Book

Description: Applied Logistic Regression Analysis by Scott Menard The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped dataUpdated coverage of unordered and ordered polytomous logistic regression models. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS are included. New to this edition: * more detailed consideration of grouped as opposed to casewise data throughout the book * updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency * discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data * updated coverage of unordered and ordered polytomous logistic regression models Author Biography 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. Table of Contents Series Editor′s IntroductionAuthor′s Introduction to the Second Edition1. Linear Regression and Logistic Regression Model2. Summary Statistics for Evaluating the Logistic Regression Model3. Interpreting the Logistic Regression Coefficients4. An Introduction to Logistic Regression DiagnosisCh 5. Polytomous Logistic Regression and Alternatives to Logistic Regression6. NotesAppendix AReferencesTablesFigures Details ISBN0761922083 Pages 128 Series Quantitative Applications in the Social Sciences Language English ISBN-10 0761922083 ISBN-13 9780761922087 Media Book Format Paperback DEWEY 519.536 Series Number 106 Illustrations Yes Edition 2nd Replaces 9780803957572 Edited by Scott W. Menard Short Title APPLIED LOGISTIC REGRESSION AN Imprint SAGE Publications Inc Place of Publication Thousand Oaks Country of Publication United States DOI 10.1604/9780761922087 UK Release Date 2001-12-05 NZ Release Date 2001-12-05 US Release Date 2001-12-05 Author Scott Menard Publisher SAGE Publications Inc Edition Description 2nd Revised edition Year 2001 Publication Date 2001-12-05 Audience Tertiary & Higher Education AU Release Date 2001-12-04 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:160679413;

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