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Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling Paperback – 6 Dec 2011

4 customer reviews

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Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling + Multilevel Analysis: Techniques and Applications, Second Edition (Quantitative Methodology Series) + Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences)
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Product details

  • Paperback: 368 pages
  • Publisher: SAGE Publications Ltd; Second Edition edition (4 Nov. 2011)
  • Language: English
  • ISBN-10: 184920201X
  • ISBN-13: 978-1849202015
  • Product Dimensions: 17 x 2.1 x 24.2 cm
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Bestsellers Rank: 87,557 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

'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)

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Customer Reviews

3.5 out of 5 stars
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Most Helpful Customer Reviews

By jacko on 15 April 2015
Format: Paperback
NO very clear. Lots of emphasis on equations with less clear verbal explanations of the main statistics. Good reference guide, but not best first introductory book!
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By Abrar on 8 May 2015
Format: Paperback Verified Purchase
It's good book but it was not cover everything that I need.
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By Alireza Ahmadvand on 14 Aug. 2014
Format: Paperback
Very informative book.
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2 of 4 people found the following review helpful By lo cata on 18 Mar. 2012
Format: Paperback
this is the most clear and useful book for multilevel analysis. i strongly recommended, especially if your background is social sciences or education.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 5 reviews
19 of 20 people found the following review helpful
Difficult but useful as a reference for the experienced multilevel analyst 6 Aug. 2009
By not a natural - Published on Amazon.com
Format: Paperback Verified Purchase
Snijders and Bosker's Multilevel Analysis is mathematically demanding but more readable than Raudenbush and Bryk's Hierarchical Linear Models. Snijders and Bosker's text would be much more useful for the less-experienced reader if it contained a directory identifying essential material. As is often the case with books of this kind, it is difficult to distinguish between really important topics, those crucial to understanding multilevel models, and ancillary topics which can be treated as non-essential, at least for the first pass through this dense and difficult material.

It would also help if the authors located multilevel modeling within a statistical context likely to contain material that readers already understand. As it is, multilevel analysis is treated as a separate and new topic, and is readily accessible only to those with generalized mathematical maturity.

The authors do, however, cover a broad range of pertinent material. Thus, while it is not a good choice for beginners looking for a self-instructional tool, the statistically sophisticated reader will find it to be an excellent reference. While just as difficult to understand as the rest of the book, Snijders and Bosker's develop some really informative and interesting examples of three-level models.

This text has been in print for a decade, and is still widely used. I've found that as I become more familiar with multilevel modeling, the book becomes more valuable.
4 of 6 people found the following review helpful
Good text for the mathematical end, not as good if you are self-teaching the content 8 Jan. 2013
By Raylene - Published on Amazon.com
Format: Paperback Verified Purchase
I was required to use this book, but I chose to pair it with the Raudenbush & Bryk text while taking an applied HLM course. The book was thorough, although often unhelpful for someone who is in the process of designing their own study and preparing to conduct analyses. This book offered little help on data preparation, identifying problems with your data, and using software to conduct analyses. Not a bad book, but definitely needs to be used with a course where you have an instructor available to you.
Great Resource 24 Jun. 2014
By John R. Turner - Published on Amazon.com
Format: Paperback Verified Purchase
This resource by Snijders provides a great reference for multilevel analyses. The descriptions and information are clearly presented. The variety of samples pooled from, for this reference book, came from a number of different fields - you won't get tired of reading about students in classrooms as with most other multilevel or HLM books. The information is slightly different than what I have found in other multilevel books, giving the reader a different perspective on some key concepts relating to multilevel analysis.
Four Stars 31 Mar. 2015
By Raul Carpio - Published on Amazon.com
Format: Paperback
nice book
2 of 9 people found the following review helpful
Good reference 4 Jan. 2010
By J.W. - Published on Amazon.com
Format: Paperback Verified Purchase
Was a requirement for a multi-level modeling course. Great resource to have. Everyone uses it and it's a must.
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