Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling

The Second Edition of this classic text introduces the main methods, techniques, and issues involved in carrying out multilevel modeling and analysis.

Snijders and Boskers′ book is an applied, authoritative, and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis.

This book provides step-by-step coverage of:

• Multilevel theories
• Multi-stage sampling
• The hierarchical linear model
• Testing and model specification
• Heteroscedasticity
• Study designs
• Longitudinal data
• Multivariate multilevel models
• Discrete dependent variables

There are also new chapters on:

• Missing data
• Multilevel Modeling for Surveys
• Bayesian and MCMC estimation and latent-class models.

This book has been comprehensively revised and updated since the last edition, and now includes guides to modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and Mix.

This is a must-have text for any student, teacher, or researcher with an interest in conducting or understanding multilevel analysis.