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Handbook of multilevel analysis / edited by Jan de Leeuw, Erik Meijer ; foreword by Harvey Goldstein.

Contributor(s): Leeuw, Jan de | Meijer, Erik, 1963-.
Material type: TextTextPublisher: New York : Springer, c2008Description: xiii, 493 p. : ill. ; 24 cm.ISBN: 9780387731834 (alk. paper); 9780387731865 (eISBN); 0387731830.Subject(s): Social sciences -- Research -- Mathematical models | Multilevel models (Statistics)DDC classification: 003.35133 Online resources: Table of contents | WorldCat details | E-book Fulltext
Contents:
Table of contents 1 -Introduction to multilevel analysis by Jan de Leeuw and Erik Meijer -- 2 -Bayesian multilevel analysis and MCMC by David Draper -- 3 -Diagnostic checks for multilevel models by Tom A. B. Snijders and Johannes Berkhof -- 4 -Optimal designs for multilevel studies Mirjam Moerbeek by Gerard J. P. Van Breukelen and Martijn P. F. Berger -- 5 -Many small groups by Stephen W. Raudenbush -- 6 -Multilevel models for ordinal and nominal variables by Donald Hedeker -- 7 -Multilevel and related models for longitudinal data by Anders Skrondal and Sophia Rabe-Hesketh -- 8 -Non-hierarchical multilevel models by Jon Rasbash and William J. Browne -- 9 -Multilevel generalized linear models by German Rodriguez -- 10 -Missing data by Nicholas T. Longford -- 11 -Resampling multilevel models by Rien van der Leeden and Erik Meijer and Frank M. T. A. Busing -- 12 -Multilevel structural equation modeling by Stephen H. C. du Toit and Mathilda du Toit
Summary: Summary: Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics.
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 003.35133 HAN 2008 (Browse shelf) Not for loan
Text Text EWU Library
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Non-fiction 003.35133 HAN 2008 (Browse shelf) C-1 Not For Loan 26509
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Print version:
Handbook of multilevel analysis.
New York : Springer, ©2008
(DLC) 2007938348
(OCoLC)191737715

Includes bibliographical references and indexes.

Table of contents 1 -Introduction to multilevel analysis by Jan de Leeuw and Erik Meijer --
2 -Bayesian multilevel analysis and MCMC by David Draper --
3 -Diagnostic checks for multilevel models by Tom A. B. Snijders and Johannes Berkhof --
4 -Optimal designs for multilevel studies Mirjam Moerbeek by Gerard J. P. Van Breukelen and Martijn P. F. Berger --
5 -Many small groups by Stephen W. Raudenbush --
6 -Multilevel models for ordinal and nominal variables by Donald Hedeker --
7 -Multilevel and related models for longitudinal data by Anders Skrondal and Sophia Rabe-Hesketh --
8 -Non-hierarchical multilevel models by Jon Rasbash and William J. Browne --
9 -Multilevel generalized linear models by German Rodriguez --
10 -Missing data by Nicholas T. Longford --
11 -Resampling multilevel models by Rien van der Leeden and Erik Meijer and Frank M. T. A. Busing --
12 -Multilevel structural equation modeling by Stephen H. C. du Toit and Mathilda du Toit

Summary:
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics.

Applied Statistics

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