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Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research) - Softcover
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Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.
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Über die Autorinnen und Autoren
Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).
Jennifer Hill is Assistant Professor of Public Affairs in the Department of International and Public Affairs at Columbia University. She has co-authored articles that have appeared in the Journal of the American Statistical Association, American Political Science Review, American Journal of Public Health, Developmental Psychology, the Economic Journal and the Journal of Policy Analysis and Management, among others.
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Data Analysis Using Regression and Multilevel Hierarchical Models
Verlag:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.52. Artikel-Nr. G052168689XI3N00
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Data Analysis Using Regression and Multilevel Hierarchical Models
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Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Data Analysis Using Regression and Multilevel/Hierarchical Models: Analytical Methods for Social Research
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Cambridge University Press, 2007
ISBN 10: 052168689X
ISBN 13: 9780521686891
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paperback. Zustand: Gut. 648 Seiten; 9780521686891.3 Gewicht in Gramm: 2. Artikel-Nr. 858327
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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DATA ANALYSIS USING REGRESSION & MULTILE
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Data Analysis Using Regression and Multilevel/Hierarchical Models: Analytical Methods for Social Research
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Paperback. Zustand: Neu. Neu Neuware, Importqualität, auf Lager - Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages. Artikel-Nr. INF1000771091
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Data Analysis Using Regression and Multilevel / Hierarchical Models
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Zustand: New. Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces an. Artikel-Nr. 5919042
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)
Verlag:
Cambridge University Press, United Kingdom, Cambridge, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback. Zustand: Very Good. Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR005714825
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Zustand: New. 2006. 1st Edition. paperback. This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Series Editor(s): Alvarez, R. Michael; Beck, Nathaniel L.; Wu, Lawrence L. Series: Analytical Methods for Social Research. Num Pages: 648 pages, 160 exercises. BIC Classification: JHBC; PBK. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 179 x 37. Weight in Grams: 1120. Series: Analytical Methods for Social Research. 648 pages, 160 exercises. For the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: JHBC; PBK. Dimension: 254 x 179 x 37. Weight: 1132. Series Editor(s) :Alvarez, R. Michael; Beck, Nathaniel L.; Wu, Lawrence L. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521686891
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