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Handbook of Multilevel Analysis

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...

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Bibliographic Details
Other Authors: Deleeuw, Jan (Editor), Meijer, Erik (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2008, 2008
Edition:1st ed. 2008
Subjects:
Statistical Theory And Methods
Psychometrics
Sociology / Methodology
Statistics 
Probability Theory
Epidemiology
Econometrics
Sociological Methods
Probabilities
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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