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Textbook designed as a supplement to an understanding of statistical concepts for the purpose of employing sophisticated and powerful statistical methods Emphasizes the drawing of scientific inferences from the regression analysis of data examples Annotation copyright Book News Inc Portland Or
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This book provides a uniquely accessible introduction to multilevel modeling a powerful tool for analyzing relationships between an individuallevel dependent variable such as student reading achievement and individuallevel and contextual explanatory factors such as gender and neighborhood quality Helping readers build on the statistical techniques they already know Robert Bickel emphasizes the parallels with more familiar regression models shows how to do multilevel modeling using SPSS and demonstrates how to interpret the results He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers or does not offer methodological advantages over more traditional techniques Over 300 dataset examples from research on educational achievement income attainment voting behavior and other timely issues are presented in numbered procedural steps
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A digital copy of Applied Regression Analysis and Other Multivariable Methods Student Solution Man by David G Kleinbaum Download is immediately available upon purchase
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This bestseller will help you learn regressionanalysis methods that you can apply to reallife problems It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer The authors continue to emphasize model development the intuitive logic and assumptions that underlie the techniques covered the purposes advantages and disadvantages of the techniques and valid interpretations of those techniques
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An accessible detailed and uptodate treatment of regression analysis linear models and closely related methods is provided in this book Incorporating nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences the book begins with a consideration of the role of statistical data analysis in social research It then moves on to cover the following topics graphical methods for examining and transforming data linear leastsquares regression dummyvariables regression analysis of variance diagnostic methods for discovering whether a linear model fit to data adequately represents the data extensions to linear least squares including logit and probit models timeseries regression nonlinear
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Regression students will appreciate this bestsellers modern practical approach and its use of reallife problems The third edition offers a significant shift in emphasis from calculation to interpretation by replacing computational formulas with computer printouts in SAS It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer Appropriate for statistics biostatistics mathematics psychology sociology business and industrial engineering students or anyone who intends to use regression analysis in their work this text offers a traditional structure with a modern flavor The authors emphasize model development the intuitive logic and assumptions that underlie the techniques covered as well as the purposes advantages and disadvantages and valid interpretations of those techniques
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