Multilevel Analysis
An Introduction to Basic and Advanced Multilevel Modeling
- Tom A B Snijders - University of Groningen, Netherlands, University of Groningen, University of Oxford, UK; University of Groningen, The Netherlands
- Roel J Bosker - University of Groningen, Netherlands
Quantitative/Statistical Research
Snijders and Bosker's 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
• ecological fallacies
• 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 and survey weights
• Bayesian and MCMC estimation and latent-class models.
This book has been comprehensively revised and updated since the last edition, and now discusses modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and SuperMix.
This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis.
Tom A.B. Snijders is Professor of Statistics in the Social Sciences at the University of Oxford and Professor of Statistics and Methodology at the University of Groningen.
Roel J. Bosker is Professor of Education and Director of GION, Groningen Institute for Educational Research, at the University of Groningen.
An excellent applied text, providing the basics and moving onto much more detailed multilevel analysis.
A step by step introduction to multilevel analysis. A must have for studentents or researcher with an interesest in multilevel analyses
Solid introduction even for newcomers to multilevel modeling.
This is a very comprehensive book on multi-level analysis. The literature in this area is very scarce and often too specialised to give to students. I therefore welcome this book as an addition to teaching material. I recommend the book for master students who are already very advanced (often close to writing their dissertation) and whose master research deals with topics relevant for multi-level analysis.
Very specialiced book. Only recommended for details.
This is a thorough and approachable treatment of the topic, and the associated web resources are great.
Very good, moderately technical introduction to multilevel modeling. Should be consulted by everyone using this technique in her own research.
I found the book useful for researchers who want to know more about multi level statistics.
This is one the most comprehensive books about multilevel analysis. It's like a "must have" book for those who want to have a deep understanding of different aspects of multilevel analysis.
Good book on multilevel modeling
