Data Analysis Using Regression and Multilevel / Hierarchical Models (Paperback)
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Short Description for Data Analysis Using Regression and Multilevel / Hierarchical Models This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
- Published: 01 June 2007
- Format: Paperback 648 pages
- ISBN 13: 9780521686891 ISBN 10: 052168689X
- Sales rank: 43,846
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Full description for Data Analysis Using Regression and Multilevel / Hierarchical Models
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.