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Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling [Paperback]

Tom A. B. Snijders , Roel Bosker
4.5 out of 5 stars  See all reviews (2 customer reviews)
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Book Description

4 Nov 2011 184920201X 978-1849202015 Second Edition
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The 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.

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Frequently Bought Together

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)
Price For All Three: £94.59

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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: 23.9 x 16.8 x 2 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 121,371 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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'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

Inside This Book (Learn More)
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Customer Reviews

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Most Helpful Customer Reviews
2 of 4 people found the following review helpful
5.0 out of 5 stars best book ever! 18 Mar 2012
By lo cata
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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4.0 out of 5 stars Four Stars 14 Aug 2014
Very informative book.
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Most Helpful Customer Reviews on (beta) 4.2 out of 5 stars  4 reviews
19 of 20 people found the following review helpful
4.0 out of 5 stars Difficult but useful as a reference for the experienced multilevel analyst 6 Aug 2009
By not a natural - Published on
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
3.0 out of 5 stars Good text for the mathematical end, not as good if you are self-teaching the content 8 Jan 2013
By Raylene - Published on
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.
5.0 out of 5 stars Great Resource 24 Jun 2014
By John R. Turner - Published on
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.
2 of 9 people found the following review helpful
5.0 out of 5 stars Good reference 4 Jan 2010
By J.W. - Published on
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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