2009, ISBN: 9781412974837

Gebunden, 394 Seiten, 241mm x 196mm x 26mm, Sprache(n): eng Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who … More...

Gebunden, 394 Seiten, 241mm x 196mm x 26mm, Sprache(n): eng Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally. The book begins by showing how logistic regression combines aspects of multiple linear regression and loglinear analysis to overcome problems both techniques have with the analysis of dichotomous dependent variables with continuous predictors. The logistic regression model is then examined in detail, including how to evaluate the overall model and how to evaluate the impact of the different predictors in the model for different types of research questions. Unique to this book is the extensive consideration qualitative (prediction tables) as well as quantitative indices of how well the model predicts the dependent variable. The book then examines what can go wrong with the model and how to detect and correct it; the use of logistic regression in path analysis; nominal and ordinal dependent variables; modifications to the logistic regression model when the cases are not completely independent of one another; the use of logistic regression models for longitudinal data with few and with many repeated measurements; and alternatives to logistic regression. In each chapter, the basic model is explained and illustrated with applied examples, with a focus on translating from the research problem to the implementation of the model, then interpreting the results back to English. While not dependent on any one software package, limitations to existing software packages, and ways of getting around those limitations, are examined. The book brings together material on logistic regression that is often covered in passing or in limited detail in treatments of other topics such as event history analysis or multilevel analysis, and includes material not elsewhere available on the use of logistic regression with path analysis, linear panel models, and multilevel change models. Mathematical notation is kept to a minimum, allowing readers with more limited backgrounds in statistics to follow the presentation, but the book includes advanced topics that will be of interest to more statistically sophisticated readers as well.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. Versandkostenfreie Lieferung Empirische Sozialforschung, Sozialforschung / Empirische Sozialforschung, Forschung (wirtschafts-, sozialwissenschaftlich) / Sozialforschung, Sozialforschung, [PU: SAGE Publications]<

2009, ISBN: 1412974836

[EAN: 9781412974837], Neubuch, [PU: SAGE Publications Inc, United States], Language: English. Brand new Book. In this text, author Scott Menard provides coverage of not only the basic log… More...

[EAN: 9781412974837], Neubuch, [PU: SAGE Publications Inc, United States], Language: English. Brand new Book. In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics backgrounds, while including advanced topics of interest to more statistically sophisticated readers. Not dependent on any one software package, the book discusses limitations to existing software packages and ways to overcome them. Key Features Examines the logistic regression model in detailIllustrates 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 variablesShows readers how multilevel change models with logistic regression are different from multilevel growth curve models for continuous interval or ratio-scaled dependent variablesLogistic 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., Books<

ISBN: 9781412974837

In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no other logistic regression text. The book keeps mat… More...

In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics backgrounds, while including advanced topics of interest to more statistically sophisticated readers. Not dependent on any one software package, the book discusses limitations to existing software packages and ways to overcome them. Key Features Examines the logistic regression model in detailIllustrates 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 variablesShows readers how multilevel change models with logistic regression are different from multilevel growth curve models for continuous interval or ratio-scaled dependent variablesLogistic 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. Books, [PU: SAGE Publications]<

2009, ISBN: 1412974836

Gebundene Ausgabe Empirische Sozialforschung, Sozialforschung / Empirische Sozialforschung, Forschung (wirtschafts-, sozialwissenschaftlich) / Sozialforschung, Sozialforschung, mit Schut… More...

Gebundene Ausgabe Empirische Sozialforschung, Sozialforschung / Empirische Sozialforschung, Forschung (wirtschafts-, sozialwissenschaftlich) / Sozialforschung, Sozialforschung, mit Schutzumschlag 11, [PU:Sage Publications, Inc]<

2009, ISBN: 9781412974837

From Introductory to Advanced Concepts and Applications, Buch, Hardcover, [PU: SAGE Publications Inc], SAGE Publications Inc, 2009