Multilevel Modeling: Methodological Advances, Issues, and Applications (Multivariate Applications Series)

✍ Scribed by Steven P. Reise, Naihua Duan

• Publisher: Psychology Press
• Year: 2002
• Tongue: English
• Leaves: 323
• Series: Multivariate applications
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Contents......Page 6
Preface......Page 8
1 Nonlinear Multilevel Models for Repeated Measures Data......Page 10
2 Sensitivity Analysis for Hierarchical Models: Downweighting and Identifying Extreme Cases Using the t Distribution......Page 34
3 Two-level Mean and Covariance Structures: Maximum Likelihood via an EM Algorithm......Page 62
4 Analysis of Reading Skills Development from Kindergarten through First Grade: An Application Of Growth Mixture Modeling To......Page 80
5 Multilevel Models for Meta-Analysis......Page 99
6 Longitudinal Studies With Intervention and Noncompliance: Estimation of Causal Effects in Growth Mixture Modeling......Page 121
7 Analysis of Repeated Measures Data......Page 149
8 The Development of Social Resources in a University Setting: A Multilevel Analysis......Page 166
9 Ordered Category Responses and Random Effects in Multilevel and Other Complex Structures......Page 190
10 Bootstrapping the Effect of Measurement Errors on Apparent Aggregated Group-Level Effects......Page 218
11 An Iterative Method For the Detection of Outliers In Longitudinal Growth Data Using Multilevel Models......Page 238
12 Estimating Interdependent Effects Among Multilevel Composite Variables in Psychosocial Research: An Example of the Applica......Page 264
13 Design Issues in Multilevel Studies......Page 294
C......Page 308
G......Page 309
M......Page 310
P......Page 311
S......Page 312
W......Page 313
B......Page 314
F......Page 315
H......Page 316
L......Page 317
R......Page 318
S......Page 319
Z......Page 320
Author Information......Page 322