Multilevel statistical models /

This book provides a clear introduction to this important area of statistics. The author provides a wide of coverage of different kinds of multilevel models, and how to interpret different statistical methodologies and algorithms applied to such models. This 4th edition reflects the growth and inter...

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Bibliographic Details
Main Author: Goldstein, Harvey, 1939-
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, 2011.
Edition:4th ed.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:View fulltext via EzAccess
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.