Generalized Latent Variable Modeling
Multilevel, Longitudinal, and Structural Equation Models
1st Edition
Published on 11. May 2004
Book
Hardback
522 pages
978-1-58488-000-4 (ISBN)
Description
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wide range of estimation and prediction methods from biostatistics, psychometrics, econometrics, and statistics. They present exciting and realistic applications that demonstrate how researchers can use latent variable modeling to solve concrete problems in areas as diverse as medicine, economics, and psychology. The examples considered include many nonstandard response types, such as ordinal, nominal, count, and survival data. Joint modeling of mixed responses, such as survival and longitudinal data, is also illustrated. Numerous displays, figures, and graphs make the text vivid and easy to read.
About the authors:
Anders Skrondal is Professor and Chair in Social Statistics, Department of Statistics, London School of Economics, UK
Sophia Rabe-Hesketh is a Professor of Educational Statistics at the Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, USA.
About the authors:
Anders Skrondal is Professor and Chair in Social Statistics, Department of Statistics, London School of Economics, UK
Sophia Rabe-Hesketh is a Professor of Educational Statistics at the Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, USA.
Reviews / Votes
"... an extremely useful resource for statisticians working in medical and biological sciences and social sciences such as economics and psychology. Most statisticians apply some form of latent variable modeling in their research, and this book presents the latest developments in the field in a clear and engaging way."- Fiona Steele, University of Bristol, in Statistical Methods in Medical Research,, 2008, Vol. 17
"... an elegant and illuminating unification of concepts and models from diverse disciplines. The final application chapters deal with a broad collection of interesting applications to areas, such as meta-analyses, disease mapping, confirmatory factor analysis, and case-control studies. The book is well worth acquiring and would be a suitable text for advanced graduate courses."
-ISI Short Book Reviews
"Written by well-known experts in biostatistics and educational statistics, it presents a uniform approach to enriching both theoretical and applied latent variables modeling that also can be used in any branch of natural science or technical and engineering application. ... Numerous interesting examples ... are considered. ... Written in a very friendly and mathematically clear language, rigorous but not overloaded with redundant pure statistical derivations, the book could be exceptionally useful for practitioners. ... This book is a really enjoyable and useful reading for graduate students and researchers along with [those] from any field who wish to use modern statistical techniques to solve practical problems."
-Technometrics, May 2005, Vol. 47, No. 2
"This is perhaps the only book that uses the 'latent' modeling framework to address a range of data analytical situations. ... it provided a great introduction to this field."
-Dr. S.V. Subramanian, Harvard University
"This is a very impressive book ... an excellent book. I have no hesitation in recommending readers to buy this book."
-The Stata Journal, 2005
"Who will profit from reading this book? On the one hand, it is a book written for people who like to construct and read about very general theories and modeling strategies. It is also a very useful book for statisticians who have specialized in one area ... and would like to learn more about another area. The book itself is very well-written. The presentation is concise; many issues are well illustrated graphically. [T]he authors have written an excellent, imaginative, and authoritative text on the difficult topic of modeling the problems of multivariate outcomes with different scaling levels, different units of analysis, and different study designs simultaneously."
-Biometrics, March 2005
"It has two fundamental features that make it one of the most comprehensive reference books in the field: an up-to-date guide to multilevel and structural latent variable modeling and estimation, plus a multidisciplinary set of illustrative examples ... these are extremely enlightening for experienced practitioners in the many areas in which latent variable modeling can be used to analyze data ... to my knowledge, the present book is the first to provide a truly unifying generalized approach to latent variable modeling ... I find the book to be an exceedingly valuable reference that would be ideal for graduate-level courses on generalized latent variable modeling. It is very straightforward to build from it a comprehensive course where the statistical section is complemented with a multidisciplinary set of easily replicated examples, because both the data sets and the software are available online ... the book's impressive breadth and depth make it an essential reference for any researchers interested in understanding the state-of-the-art methods and potential applications in latent multilevel, longitudinal, and structural equation modeling."
-Journal of the American Statistical Association
"[This book] provides a useful summary and references... . [It] illustrates the close connection between models for discrete choice data common in econometrics and IRT."
-Psychometrika
More details
Series
Language
English
Place of publication
Boca Raton
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional Practice & Development
Illustrations
62 s/w Abbildungen, 74 s/w Tabellen
74 Tables, black and white; 62 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 33 mm
Weight
945 gr
ISBN-13
978-1-58488-000-4 (9781584880004)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Anders Skrondal | Sophia Rabe-Hesketh
Generalized Latent Variable Modeling
Multilevel, Longitudinal, and Structural Equation Models, Second Edition
Book
approx. 07/2018
2nd Edition
CRC Press
approx.
€106.65
Not yet published
Additional editions
Anders Skrondal | Sophia Rabe-Hesketh
Generalized Latent Variable Modeling
Multilevel, Longitudinal, and Structural Equation Models
E-Book
05/2004
Chapman and Hall
€205.99
Available for download
Anders Skrondal | Sophia Rabe-Hesketh
Generalized Latent Variable Modeling
Multilevel, Longitudinal, and Structural Equation Models
E-Book
05/2004
1st Edition
Chapman and Hall
€205.99
Available for download
Persons
Anders Skrondal, Sophia Rabe-Hesketh
Content
METHODOLOGY: The Omni-Presence of Latent Variables. Modeling Different Response Processes. Classical Latent Variable Models. General Model Framework. Identification and Equivalence. Estimation. Assigning Values to Latent Variables. Model Specification and Inference. APPLICATIONS: Dichotomous Responses. Ordinal Responses. Counts. Durations and Survival. Comparative Responses. Multiple Processes and Mixed Responses.