Data analysis using regression and multilevel/hierarchical models /
"Data Analysis Using Regression and Multilevel/Hierarchical Models 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 instructi...
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| Format: | Book |
| Language: | English |
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Cambridge ; New York :
Cambridge University Press,
2007.
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| Series: | Analytical methods for social research.
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| Online Access: | Publisher description Table of contents only Contributor biographical information Publisher description Table of contents only |
| Summary: | "Data Analysis Using Regression and Multilevel/Hierarchical Models 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."--Publisher description. |
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| Physical Description: | xxii, 625 pages : illustrations ; 26 cm. |
| Bibliography: | Includes bibliographical references (pages 575-600) and indexes. |
| ISBN: | 0521867061 9780521867061 052168689X (pbk.) 9780521686891 (pbk.) |