Akriportbooks ^ Get Free Ebook Logistic Regression From Introductory to Advanced Concepts and Applic

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Not dependent on any one software package, the book discusses limitations to existing software packages and ways to overcome them. Examines the logistic regression model in detail Illustrates concepts with applied examples to help readers understand how concepts are translated into the logistic regression model Helps readers make decisions about the criteria for evaluating logistic regression models through detailed coverage of how to assess overall models and individual predictors for categorical dependent variables Offers unique coverage of path analysis with logistic regression that shows readers how to examine both direct and indirect effects using logistic regression analysis Applies logistic regression analysis to longitudinal panel data, helping students understand the issues in measuring change with dichotomous, nominal, and ordinal dependent variables Shows readers how multilevel change models with logistic regression are different from multilevel growth curve models for continuous interval or ratio-scaled dependent variables. Logistic Regression is intended for courses such as Regression and Correlation, Intermediate/Advanced Statistics, and Quantitative Methods taught in departments throughout the behavioral, health, mathematical, and social sciences, including applied mathematics/statistics, biostatistics, criminology/criminal justice, education, political science, public health/epidemiology, psychology, and sociology. Sales Rank: #964012 in Books Published on: 2009-04-29 Original language: English Number of items: 1 Dimensions: 9.25" h x .88" w x 7.52" l, 1.72 pounds Binding: Hardcover 392 pages. 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. Most helpful customer reviews. 2 of 2 people found the following review helpful. Readable. integrative. comprehensive By J.A.Gilmer This is an excellent expository statistical text (one that does not ignore but keeps notation to a minimum.) It also provides a comprehensive explanation of the relationship (similarities and differences) among OLS, log-linear analysis, logit analysis, and logistic regression. Prof. Menard's book is one of -- if not THE -- best texts on these statistical techniques that I have read. See all 1 customer reviews. 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