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

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. -- Yuehua Wu * Zentralblatt Math *
Too detailed and no IR -- Dr Ashish Dwivedi * drupal *
Terrific book! Updated to provide current methods for multilevel models. -- Dr Bruce Cooper * drupal *
This is a comprehensive textbook on multilevel analysis, with clear and basic background information on this particular statistical technique. -- Dr Elisabeth Dorant * drupal *
This is a specialist book that provides clear guidance for doctoral researchers who are exploring complex nested relationships. -- Dr Garry Squires * drupal *
This is a very advanced book. It is fondly theoretical, perfect for explaining the complex concept of multilevel analysis. -- Dr Geronimo Maldonado-Martinez * drupal *
This is the book!, however, the technical level is not appropriate to be adopted as a course material in my particular module. -- Dr Guillermo Perez Algorta * drupal *
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. -- Dr Julie Davies * drupal *
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. -- Dr Mansour Pourmehdi * drupal *
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. -- Dr Maria Pampaka * drupal *
This is a nice introductory book for multilevel analysis. It is writing in a very easy way to understand the principle of the multilevel research. The book covers the main analysis that student could need in for example a final posgrade dissertation or even at a level of PhD dissertation. -- Dr Moises Betancort * drupal *
I found the book useful for researchers who want to know more about multi level statistics. -- Dr Muhammet Mustafa Alpaslan * drupal *
A useful text for postgraduate students but I have to regard it only as a supplementary reading for my undergraduate students. -- Dr Nor Diana Mohd Mahudin * drupal *
One of the best textbooks on multilevel analysis! Strongly recommended to my students. -- Dr Oliver Christ * drupal *
This book provides a helpful and comprehensive introduction to the use of multi-level modelling.
-- Dr Peter Taylor * drupal *
The book is suitable for beginners due to the well understandable step by step explanations as well as advanced users due to deeper insight into specific topics and mathematical background. However more practical examples would benefit the learning. The book teaches more about the theoretical and statistical background and neglects the “how to” aspect. The online resources are rather scarce as well compared with other textbooks. Especially the lack of data files in different formats (e.g. for the HLM program) is a disadvantage. -- Mr Arne Albrecht * drupal *
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"." -- Mr Benjamin Bader * drupal *
too technical language; should cater more for the needs of the "average" scientist and practitioner; definitely not recommended for newcomers to the subject" -- Mr Joerg Wombacher * drupal *
This impressively clear textbook achieves its title′s aim to be an introduction from basic to advanced multilevel modelling. Mathematical treatment is kept to the minimum to explain the differences between models, with an emphasis on intuitive understanding of concepts. This is very helpful to students who feel that moving up from regression/GLM to multilevel models is a big step.

I was especially impressed by the clear explanation of topics that are often described poorly by other authors, such as ICC and reliability, Hausman test (although the authors are unusual in never using the term ′endogeneity′), deviance tests and testing under ML/REML.

The ′Glommary′ at the end of each chapter is a nice mix of glossary and a recap of major points. The examples are clear, varied and motivating.

The only problem I have with the book is the lack of examples with software. Although these are prone to becoming out of date, having a chapter on software gives little information to the newcomer unless they can see for themselves how the software is not forbiddingly esoteric. Many students feel anxious about using software even after they have grasped the theory. -- Mr Robert Grant * drupal *
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. -- Mr Robert Greszki * drupal *
An excellent applied text, providing the basics and moving onto much more detailed multilevel analysis. -- Mrs Mel Humphreys * drupal *
A step by step introduction to multilevel analysis. A must have for studentents or researcher with an interesest in multilevel analyses -- Ms Claudia Schmidt * drupal *
Solid introduction even for newcomers to multilevel modeling. -- Ms Freya Sukalla * drupal *
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. -- Ms Helena Bukvova * drupal *
Very specialiced book. Only recommended for details. -- Professor Bernd Kaltenhaeuser * drupal *
This is a thorough and approachable treatment of the topic, and the associated web resources are great. -- Professor Corey Sparks * drupal *
Very good, moderately technical introduction to multilevel modeling. Should be consulted by everyone using this technique in her own research. -- Professor Ingo Rohlfing * drupal *