Table of Contents:
  • Front Matter
  • An Introduction to Multilevel Models
  • The 2-level Model
  • 3-level Models and more Complex Hierarchical Structures
  • Multilevel Models for Discrete Response Data
  • Models for Repeated Measures Data
  • Multivariate Multilevel Data
  • Latent Normal Models for Multivariate Data
  • Multilevel Factor Analysis, Structural Equation and Mixture Models
  • Nonlinear Multilevel Models
  • Multilevel Modelling in Sample Surveys
  • Multilevel Event History and Survival Models
  • Cross-Classified Data Structures
  • Multiple Membership Models
  • Measurement Errors in Multilevel Models
  • Smoothing Models for Multilevel Data
  • Missing Data, Partially Observed Data and Multiple Imputation
  • Multilevel Models with Correlated Random Effects
  • Software for Multilevel Modelling.