Marginal models : for dependent, clustered, and longitudinal categorical data / Wicher Bergsma, Marcel Croon, Jacques A. Hagenaars.
By: Bergsma, Wicher P
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Contributor(s): Croon, Marcel A | Hagenaars, Jacques A.
Material type: 
TextSeries: Statistics for social and behavioral sciences: Publisher: New York : Springer, c2009Description: xi, 268 p. : ill. ; 24 cm.ISBN: 9780387096094 (hbk.); 0387096094 (hbk.); 9781441918734; 1441918736.Subject(s): Social sciences -- Mathematical models | Social sciences -- Statistical methods | Social sciences -- ResearchDDC classification: 300.15118 Online resources: WorldCat details | E-book Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 294.34 BAB 1998 Buddhism without beliefs : | 297.265 IQS 2007 Science and islam / | 300.14 FAA 2003 Analysing discourse : | 300.15118 BEM 2009 Marginal models : | 300.285536 BRQ 2005 Quantitative data analysis with SPSS 12 and 13 : | 300.72 The A-Z of social research : | 300.72 BAP 1989 The practice of social research / |
Includes bibliographical references and index.
Table of contents Loglinear Marginal Models.- Nonloglinear Marginal Models.- Marginal Analysis of Longitudinal Data.- Causal Analyses: Structural Equation Models and (Quasi-)Experimental Designs.- Marginal modeling with latent variables.- Conclusions, Extensions, and Applications
Marginal models are often the best way of answering research questions involving dependent observations. This comprehensive overview of the basic principles of marginal modeling offers a wide range of possible applications through many real world examples.
Applied Statistics
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