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
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.
'Overall, Snijders and Bosker provide an accessible and readable text on the subject of multilevel analysis. It is as much tailored to the needs of advanced quantitative researchers, as to relative beginners in the field. As a reader with limited experience in quantitative research, but an interest in advancing my knowledge and understanding of multilevel analysis, I found this text an ideal introduction to the area' -
Emma Smith
Methodspace Book Reviews Club
Too detailed and no IR
Terrific book! Updated to provide current methods for multilevel models.
This is a comprehensive textbook on multilevel analysis, with clear and basic background information on this particular statistical technique.
This is a specialist book that provides clear guidance for doctoral researchers who are exploring complex nested relationships.
This is a very advanced book. It is fondly theoretical, perfect for explaining the complex concept of multilevel analysis.
This is the book!, however, the technical level is not appropriate to be adopted as a course material in my particular module.
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 book provides a comprehensive coverage of multiple level theories and related models. Despite being an authoritative book in this field it should be used as a supplement for social science students because its content is not easily accessible.
This is a very useful book in multilevel modelling. Even though our focus on Advanced Survey Methods is not multilevel, there is a particular chapter that helps the students see the connection between model and design- based approaches in advanced survey design, with emphasis on the role of weighting. Therefore, we introduced the book as an essential reading for this course.
