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Data Analysis Using Regression and Multilevel / Hierarchical Models - Analytical Methods for Social Research
Gelman, Andrew (Columbia University, New York)
Data Analysis Using Regression and Multilevel / Hierarchical Models - Analytical Methods for Social Research
Gelman, Andrew (Columbia University, New York)
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.
648 pages, 160 exercises
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | December 18, 2006 |
ISBN13 | 9780521686891 |
Publishers | Cambridge University Press |
Pages | 648 |
Dimensions | 179 × 254 × 37 mm · 984 g |
Language | English |
Series Editor | Alvarez, R. Michael |
Series Editor | Beck, Nathaniel L. |
Series Editor | Wu, Lawrence L. |
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