Multilevel Analysis
An Introduction to Basic and Advanced Multilevel Modeling
- Tom A B Snijders - University of Groningen, Netherlands
- Roel J Bosker - University of Groningen, Netherlands
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.
A useful text for postgraduate students but I have to regard it only as a supplementary reading for my undergraduate students.
Most readable book on multilevel analysis. Very good presenting of the complex topic of multilevel models. I recommended the book for every student interested in advanced methods.
One of the best textbooks on multilevel analysis! Strongly recommended to my students.
An excellent textbook which covers a broad range of pertinent issues for Multilevel modelling. Indeed, an essential read for those wanting to better grasp this powerful method of statistical analysis.
This is a specialist book that provides clear guidance for doctoral researchers who are exploring complex nested relationships.
Well written textbook, however, due to its advanced statistical method, we only used it as supplemental reading for those students who were interested in some extra analysis. However, it makes a sophisticated method easier to understand and is a good alternative to Hox' classic "Multilevel Analysis".
An excellent applied text, providing the basics and moving onto much more detailed multilevel analysis.
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.
