Statistics for Social and Behavioral Sciences

Marginal Models

For Dependent, Clustered, and Longitudinal Categorical Data

Authors: Bergsma, Wicher, Croon, Marcel A., Hagenaars, Jacques A.

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About this book

Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show.

In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models.

This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.

Wicher Bergsma is Senior Lecturer at the London School of Economics and Political Science. His current research interests are categorical data analysis, measurement of association, nonparametric regression, and maximum likelihood estimation.

Marcel Croon is associate professor at Tilburg University. He is especially interested in measurement problems, structural equation modeling, latent variables, and random effect models.

Jacques Hagenaars is full professor at Tilburg University and at present chair of the board of IOPS, the Dutch PhD School for Sociometrics and Psychometrics. His main research interests are research designs, longitudinal research, categorical data analysis and latent variable models.

Reviews

From the reviews:

"In conclusion, this book is a very well written book about an important topic in categorical data analysis. The methodology is presented with clear examples from applied research. The book is intended for applied researchers but I think that psychometricians, biometricians, and alike can learn a lot from the material in this book. Therefore, the book certainly deserves a spot on the categorical data analysis bookshelf for anyone that regularly encounters categorical data!" (Mark de Rooij, Vereniging voor Ordinatie en Classificatie (VOR), Nieuwsbrief No. 43, Oktober 2009)

“This is a well-written book on marginal models for categorical data using maximum likelihood(ML) methods… The authors successfully show the methodology of marginal modeling in an intuitive way for social and behavioral scientists…This book would be a fantastic reference for statisticians interested in learning more about repeated categorical response data analysis and marginal modeling beyond the familiar GEE procedure.” (Biometrics)

“Social and behavioral scientists with good background in social science statistics and applied statisticians. The authors write that this book has been written with applied researchers in mind. … it serves the purpose well. … The book explains in pedagogical way the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions in several fields, i.e., social, economic and behavioral sciences.” (Lasse Koskinen, International Statistical Review, Vol. 78 (1), 2010)


Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-0-387-09610-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-0-387-09609-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-1-4419-1873-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Marginal Models
Book Subtitle
For Dependent, Clustered, and Longitudinal Categorical Data
Authors
Series Title
Statistics for Social and Behavioral Sciences
Copyright
2009
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-09610-0
DOI
10.1007/b12532
Hardcover ISBN
978-0-387-09609-4
Softcover ISBN
978-1-4419-1873-4
Series ISSN
2199-7357
Edition Number
1
Number of Pages
XI, 268
Topics