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
- 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' -
Methodspace Book Reviews Club
This new edition is still intended for students, teachers, or researchers with an interest in conducting or understanding multilevel analysis. The book is definitely an excellent reference book for researchers working in social sciences, education, environmental sciences, and economic, biological, medical, and health disciplines.
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
A must for scholars engaged in multilevel research. High on analytical treatment.
The content of the textbook is great. However, the text is very difficult to follow when students do not have a very strong background on statistics.
This is a thorough and approachable treatment of the topic, and the associated web resources are great.
Very specialiced book. Only recommended for details.
This is the book!, however, the technical level is not appropriate to be adopted as a course material in my particular module.