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Book synopsis

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.

Book details

Book category Books in English Society & social sciences Sociology & anthropology Sociology

• Full title: Data Analysis Using Regression and Multilevel/Hierarchical Models
• Author: Andrew Gelman
• Language: English
• Binding: Hardback
• Number of pages: 648
• EAN: 9780521867061
• ISBN: 0521867061
• ID: 04379008
• Publisher: Cambridge University Press
• Weight: 1396 g
• Dimensions: 254 × 181 × 40 mm
• Date of publishing: 25. December 2006

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