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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

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

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.

'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

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.

**York University, Toronto**

**Zentralblatt Math**

I found the book useful for researchers who want to know more about multi level statistics.

**Education, Mugla Sitki Kocman Universitesi**

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.

**Educational Psychology , University Of Saskatchewan**

Good book on multilevel modeling

**Business Administration , Heinrich Heine University**

A must for scholars engaged in multilevel research. High on analytical treatment.

**Business Administration , IE Business School**

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.

**Nottingham Business School, Nottingham Trent University**

This is a thorough and approachable treatment of the topic, and the associated web resources are great.

**Demography, UTSA**

Very specialiced book. Only recommended for details.

**Technical Management, Duale Hochschule BW VS**

This is the book!, however, the technical level is not appropriate to be adopted as a course material in my particular module.

**Division of Health and Research, Lancaster University**