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Libro 5 di 15: Analytical Methods for Social Research
Sinossi
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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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
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback
Da: HPB-Red, Dallas, TX, U.S.A.
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00107139220
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback
Da: World of Books Inc, Montgomery, IL, U.S.A.
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Paperback. Condizione: 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. Codice articolo CIN052168689XG
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback
Da: World of Books Inc, Montgomery, IL, U.S.A.
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Paperback. Condizione: 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. Codice articolo CIN052168689XVG
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Cambridge University Press (edition 1), 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 052168689X-11-1
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press (edition 1), 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback
Da: BooksRun, Philadelphia, PA, U.S.A.
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Editore:
Cambridge University Press, 2006
ISBN 10: 052168689X
ISBN 13: 9780521686891
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Paperback
Da: Half Price Books Inc., Dallas, TX, U.S.A.
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Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Codice articolo S_474563184
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