Handbook of multilevel analysis /
Handbook of multilevel analysis /
edited by Jan de Leeuw, Erik Meijer ; foreword by Harvey Goldstein.
- New York : Springer, c2008.
- xiii, 493 p. : ill. ; 24 cm.
Print version:
Handbook of multilevel analysis.
New York : Springer, ©2008
(DLC) 2007938348
(OCoLC)191737715
Includes bibliographical references and indexes.
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 TOC
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.
9780387731834 (alk. paper) 9780387731865 (eISBN) 0387731830
2007938348
Social sciences--Research--Mathematical models.
Multilevel models (Statistics)
HA31.35 / .B47 2011
003.35133 / HAN 2008
Print version:
Handbook of multilevel analysis.
New York : Springer, ©2008
(DLC) 2007938348
(OCoLC)191737715
Includes bibliographical references and indexes.
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 TOC
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.
9780387731834 (alk. paper) 9780387731865 (eISBN) 0387731830
2007938348
Social sciences--Research--Mathematical models.
Multilevel models (Statistics)
HA31.35 / .B47 2011
003.35133 / HAN 2008