Overview

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

Full Product Details

Author:   Joop Hox (Utrecht University, The Netherlands) ,  J. Kyle Roberts
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Dimensions:   Width: 17.80cm , Height: 2.50cm , Length: 25.40cm
Weight:   0.896kg
ISBN:  

9781841697222

ISBN 10:   1841697222
Pages:   408
Publication Date:   19 July 2010
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part 1. Introduction. J. Hox, J.K. Roberts, Multilevel Analysis: Where We Were and Where We Are. Part 2. Multilevel Latent Variable Modeling (LVM). B. Muthen, T. Asparouhov, Beyond Multilevel Regression Modeling: Multilevel Analysis in a General Latent Variable Framework. A. Kamata, B. Vaughn, Multilevel IRT Modeling. J. Vermunt, Mixture Models for Multilevel Data Sets. Part 3. Multilevel Models for Longitudinal Data. J. Hox, Panel Modeling: Random Coefficients and Covariance Structures. R.D. Stoel, F.G. Garre, Growth Curve Analysis using Multilevel Regression and Structural Equation Modeling. Part 4. Special Estimation Problems. D. Hedeker, R. J. Mermelstein, Multilevel Analysis of Ordinal Outcomes Related to Survival Data. E.L. Hamaker, I. Klugkist, Bayesian Estimation of Multilevel Models. H. Goldstein, Bootstrapping in Multilevel Models. S. van Buuren, Multiple Imputation of Multilevel Data. J. Kim, C.M. Swoboda, Handling Omitted Variable Bias in Multilevel Models: Model Specification Tests and Robust Estimation. J.K. Roberts, J.P. Monaco, H. Stovall, V. Foster, Explained Variance in Multilevel Models. E.L. Hamaker, P. van Hattum, R.M. Kuiper, H. Hoijtink, Model Selection Based on Information Criteria in Multilevel Modeling. M. Moerbeek, S. Teerenstra, Optimal Design in Multilevel Experiments. Part 5. Specific Statistical Issues. J. Algina, H. Swaminathan, Centering in Two-Level Nested Designs. S.N. Beretvas, Cross-Classified and Multiple Membership Models. D.A. Kenny, D.A. Kashy, Dyadic Data Analysis using Multilevel Modeling.

Reviews

The volume brings together an outstanding set of authors who should advance the field's understanding about ... multilevel modeling...the coverage is excellent... it brings together a wide variety of multilevel topics in a single volume. ...I would... recommend it to students who are doing dissertations on multilevel analysis. It would likely be used in programs that are training methodologists... I will definitely purchase it and recommend it... This will be an excellent resource. - Ron Heck, University of Hawaii -- Manoa, USA It makes an important contribution to the field by bringing together many top experts to produce a 'one-stop' source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it to my ... colleagues...I would consider using this book ... for students with strong quantitative interests using MLM... this book would garner a wide audience.a Certainly psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work.. - Noel A. Card, Universiyt of Arizona, USA A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength... [it] fills a gap in the material currently available... The coverage and contributors ... would encourage me to purchase it for my individual use. I [will] encourage my students and colleagues to consider buying [it]. - Scott L. Thomas, Claremont Graduate University, USA

Author Information

Joop J. Hox is Professor and Chair of Social Science Methodology at Utrecht University. 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.a He is the author of Multilevel Analysis, Second Edition (Routledge) and a co-editor of the International Handbook of Survey Methodology (Routledge). J. Kyle Roberts is an Associate Professor in the Annette Caldwell Simmons School of Education and Human Development at Southern Methodist University. Dr. Roberts has conducted numerous training sessions on multilevel analysis at annual meetings of the American Psychological Association, the American Educational Research Association, and the Southwest Educational Research Association. He has authored several book chapters and articles on multilevel analysis, and currently works with school districts in the development of value-added models for student and teacher

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