Coverart for item
The Resource Marginal models : for dependent, clustered, and longitudinal categorical data, Wicher Bergsma, Marcel Croon and Jacques A. Hagenaars

Marginal models : for dependent, clustered, and longitudinal categorical data, Wicher Bergsma, Marcel Croon and Jacques A. Hagenaars

Label
Marginal models : for dependent, clustered, and longitudinal categorical data
Title
Marginal models
Title remainder
for dependent, clustered, and longitudinal categorical data
Statement of responsibility
Wicher Bergsma, Marcel Croon and Jacques A. Hagenaars
Creator
Contributor
Subject
Language
eng
Summary
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
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1966-
http://library.link/vocab/creatorName
Bergsma, Wicher P.
Dewey number
300.15118
Illustrations
illustrations
Index
index present
LC call number
H61.25
LC item number
.B47 2009eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
Online Book
http://library.link/vocab/relatedWorkOrContributorName
  • Croon, Marcel A
  • Hagenaars, Jacques A
Series statement
Statistics for social and behavioral sciences
http://library.link/vocab/subjectName
  • Social sciences
  • Social sciences
  • Social sciences
  • Social Sciences
  • Models, Statistical
  • SOCIAL SCIENCE
  • Social sciences
  • Social sciences
  • Social sciences
Label
Marginal models : for dependent, clustered, and longitudinal categorical data, Wicher Bergsma, Marcel Croon and Jacques A. Hagenaars
Instantiates
Publication
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Loglinear marginal models -- Nonloglinear marginal models -- Marginal analysis of longitudinal data -- Causal analysis: structural equation models and (quasi- )experimental designs -- Marginal modeling with latent variables -- Conclusions, extensions, applications
Control code
405546121
Dimensions
unknown
Extent
1 online resource (xi, 268 pages)
Form of item
online
Isbn
9780387096094
Lccn
2009922353
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-0-387-09609-4
Specific material designation
remote
System control number
(OCoLC)405546121
Label
Marginal models : for dependent, clustered, and longitudinal categorical data, Wicher Bergsma, Marcel Croon and Jacques A. Hagenaars
Publication
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Loglinear marginal models -- Nonloglinear marginal models -- Marginal analysis of longitudinal data -- Causal analysis: structural equation models and (quasi- )experimental designs -- Marginal modeling with latent variables -- Conclusions, extensions, applications
Control code
405546121
Dimensions
unknown
Extent
1 online resource (xi, 268 pages)
Form of item
online
Isbn
9780387096094
Lccn
2009922353
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-0-387-09609-4
Specific material designation
remote
System control number
(OCoLC)405546121

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