Handbook of Multilevel Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Leeuw, Jan de (Editor), Meijer, Erik (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2008.
• Subjects: Mathematics.; Epidemiology.; Probabilities.; Statistics.; Econometrics.; Social sciences.; Psychometrics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Methodology of the Social Sciences.

Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical s...

Table of Contents:

• to Multilevel Analysis
• Bayesian Multilevel Analysis and MCMC
• Diagnostic Checks for Multilevel Models
• Optimal Designs for Multilevel Studies
• Many Small Groups
• Multilevel Models for Ordinal and Nominal Variables
• Multilevel and Related Models for Longitudinal Data
• Non-Hierarchical Multilevel Models
• Multilevel Generalized Linear Models
• Missing Data
• Resampling Multilevel Models
• Multilevel Structural Equation Modeling.