Handbook of multilevel analysis / edited by Jan de Leeuw, Erik Meijer ; foreword by Harvey Goldstein.
Material type: TextLanguage: English Publication details: New York : Springer, c2008. Description: xiii, 493 p. : ill. ; 24 cmISBN: 9780387731834 (alk. paper); 9780387731865 (eISBN); 0387731830Subject(s): Social sciences -- Research -- Mathematical models | Multilevel models (Statistics)DDC classification: 003.35133 LOC classification: HA31.35 | .B47 2011Online resources: Table of contents | WorldCat details | E-book FulltextItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
E-Book | Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 003.35133 HAN 2008 (Browse shelf(Opens below)) | Not for loan | ||||
Text | Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 003.35133 HAN 2008 (Browse shelf(Opens below)) | C-1 | Not For Loan | 26509 |
Print version:
Handbook of multilevel analysis.
New York : Springer, ©2008
(DLC) 2007938348
(OCoLC)191737715
Includes bibliographical references and indexes.
TOC 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.
AS
Saifun Momota
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