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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.

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**

Solid introduction even for newcomers to multilevel modeling.

**Institut für Medien und Bildungstechnologie, Universität Augsburg**

A step by step introduction to multilevel analysis. A must have for studentents or researcher with an interesest in multilevel analyses

**Educational Psychology , University of Oldenburg**