Multilevel Modeling
Methodological Advances, Issues, and Applications
Published on 1. December 2003
Book
Paperback/Softback
322 pages
978-0-8058-5170-0 (ISBN)
Description
This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.
The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis.
This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.
The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis.
This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.
Reviews / Votes
"The papers are of uniformly high quality. The authors are largely experienced and highly respected statisticians and psychometricians. The topics are important, diverse, and cutting edge. I found the writing to be suprisingly accessible..."-Personnel Psychology
More details
Series
Language
English
Place of publication
Philadelphia
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
600 gr
ISBN-13
978-0-8058-5170-0 (9780805851700)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
01/2003
Psychology Press Ltd
€69.99
Available for download
E-Book
01/2003
1st Edition
Psychology Press Ltd
€69.99
Available for download
Book
10/2002
Psychology Press
€215.41
Shipment within 10-20 days
Persons
Steven P. Reise, Naihua Duan
Content
Contents: Preface. R. Cudeck, S.H.C. du Toit, Nonlinear Multilevel Models for Repeated Measures Data. M. Seltzer, K. Choi, Sensitivity Analysis for Hierarchical Models: Downweighting and Identifying Extreme Cases Using the t Distribution. P.M. Bentler, J. Liang, Two-Level Mean and Covariance Structures: Maximum Likelihood via an EM Algorithm. B. Muthen, S-T. Khoo, D.J. Francis, C.K. Boscardin, Analysis of Reading Skills Development From Kindergarten Through First Grade: An Application of Growth Mixture Modeling to Sequential Processes. J.J. Hox, E.D. de Leeuw, Multilevel Models for Meta-Analysis. B. Jo, B.O. Muthen, Longitudinal Studies With Intervention and Noncompliance: Estimation of Causal Effects in Growth Mixture Modeling. E.R. Baumler, R.B. Harrist, S. Carvajal, Analysis of Repeated Measures Data. N. Bachmann, R. Hornung, The Development of Social Resources in a University Setting: A Multilevel Analysis. A. Fielding, Ordered Category Responses and Random Effects in Multilevel and Other Complex Structures. D. Hutchison, Bootstrapping the Effect of Measurement Errors on Apparent Aggregated Group-Level Effects. R. Ecob, G. Der, An Iterative Method for the Detection of Outliers in Longitudinal Growth Data Using Multilevel Models. K.J. Rowe, Estimating Interdependent Effects Among Multilevel Composite Variables in Psychosocial Research: An Example of the Application of Multilevel Structural Equation Modeling. S.P. Reise, N. Duan, Design Issues in Multilevel Studies.