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Multilevel Analysis: Techniques and Applications, Second Edition (Quantitative Methodology Series) [Paperback]

Joop Hox

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Book Description

24 May 2010 1848728468 978-1848728462 2

This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models.

Highlights of the second edition include:

  • Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8).
  • Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years.
  • The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained.
  • A new section on multivariate meta-analysis (Ch. 11).
  • Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected.
  • Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods.
  • An updated website at with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors.

Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.

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"The book describes extensive knowledge of multilevel analysis of experiments. The author presents a very detailed description of multivariate techniques, shows examples where these methods can be used, and gives the interpretation of results. ... This volume is a guide book of multilevel methods for the researchers who want to understand and use the multilevel techniques in practice. It is written in a clear and accessible manner." - Anna Szczepa´nska, Pozna´n University of Life Sciences, Poland, in International Statistical Review

"Dr. Hox is a master at presenting sophisticated statistical ideas and models in very pragmatic ways… There have been many developments in the area of multilevel structural equation modeling and [Hox’s] book is the only multilevel one that covers this important area...The additional chapters … make the book more … appealing.... I would definitely use Hox’s book...[and] recommend it to my colleagues." - Donald Hedeker, University of Illinois at Chicago, USA

"The second edition offers a simplistic yet in-depth coverage of difficult material. It follows closely the style and approach of the highly successful first edition. The [book] also incorporates many of the latest developments that have emerged over the past few years in the field." - George Marcoulides, University of California – Riverside, Quantitative Methodology Series Editor

"This book continues to be one of the most readable texts on multilevel analysis. Hox does a masterful job of making the complex palatable. This book is a great addition for the practitioner and methodologist alike." - J. Kyle Roberts, Southern Methodist University, USA

"The writing style is unquestionably a strength of this book particularly when compared to competing books.... Without question I would adopt the revised version and recommend it to others. The... changes... strengthen an already effective book." - Dick Carpenter, University of Colorado, Colorado Springs, USA

About the Author

Joop J. Hox is Professor and Chair of Social Science Methodology at Utrecht University in the Netherlands. A Fellow of the Royal Statistical Society and a founding member of the European Association of Methodology, his recent publications focus on survey non-response, interviewer effects, survey data quality, missing data, and multilevel analysis of regression and structural equation models. He is recognized as an expert in multilevel analysis and as a consultant he has been involved with applying multilevel models in a diversity of fields. He has a reputation for being able to explain technically complicated matters in an accessible manner.

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Customer Reviews

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Most Helpful Customer Reviews on (beta) 4.7 out of 5 stars  6 reviews
5 of 5 people found the following review helpful
5.0 out of 5 stars Accessible and user oriented 28 Feb 2011
By Geo Jan - Published on
Format:Paperback|Verified Purchase
Very useful text and has helped me move forward in my research. It situates the multilevel analysis procedure in the continuously evolving context of multivariate analysis and outlines some of the major parameters for conceptualizing and building your own models. The text is very accessible for someone who is considering multilevel modeling and has some basic background in regression analysis and other multivariate techniques. It is written in a very non-technical and non-algebraic language with numerous examples.
2 of 2 people found the following review helpful
5.0 out of 5 stars amazing book! 15 April 2013
By dh - Published on
This book is ideal for anyone wanting to learn about multilevel models in a clear and intuitive way. There are plenty of examples that help to explain exactly how one goes about conducting the analysis and interpreting the results. Beyond the basics, there are very useful chapters devoted to multivariate multilevel models, multilevel meta-analysis, and multilevel path models. This is a gem of a book and should be on the bookshelf of many data analysts.
1 of 1 people found the following review helpful
5.0 out of 5 stars Excellent book! 20 Feb 2013
By O. Beltran - Published on
Format:Paperback|Verified Purchase
The book is complete and it has all the information required to to understand multilevel modeling analysis (for continuous and categorical data).
3 of 4 people found the following review helpful
4.0 out of 5 stars On-line Data does not currently exist. 12 Aug 2011
By J K soldier and scholar - Published on
Format:Paperback|Verified Purchase
Overall this is an excellent text for understanding and conducting mulitlevel analysis. Hox makes the promise that the data sets used in the book would be made available online. At the time of this review Aug 12 2011 the data is not available.
2 of 3 people found the following review helpful
4.0 out of 5 stars Good book 4 Mar 2013
By Daniel A. Dickson - Published on
Format:Kindle Edition|Verified Purchase
This book is very helpful in conceptualizing multilevel models. I recommend readers use the available datasets on the author's website to set up and test the described models in the book.
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