Longitudinal Research with Latent Variables

Edited by Kees van Montfort (), Johan H.L. Oud () and Albert Satorra ()

in Springer Books from Springer

Date: 2010
ISBN: 978-3-642-11760-2
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Chapters in this book:

Ch Chapter 1 Loglinear Latent Variable Models for Longitudinal Categorical Data

Jacques A. Hagenaars

Ch Chapter 2 Random Effects Models for Longitudinal Data

Geert Verbeke, Geert Molenberghs and Dimitris Rizopoulos

Ch Chapter 3 Multivariate and Multilevel Longitudinal Analysis

Nicholas T. Longford

Ch Chapter 4 Longitudinal Research Using Mixture Models

Jeroen K. Vermunt

Ch Chapter 5 An Overview of the Autoregressive Latent Trajectory (ALT) Model

Kenneth A. Bollen and Catherine Zimmer

Ch Chapter 6 State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood

Jacques J. F. Commandeur, Siem Jan Koopman and Kees van Montfort

Ch Chapter 7 Continuous Time Modeling of Panel Data by means of SEM

Johan H. L. Oud and Marc J. M. H. Delsing

Ch Chapter 8 Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data

John J. McArdle and Kevin J. Grimm

Ch Chapter 9 Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

Daniel J. Blake, Janet M. Box-Steffensmeier and Byungwon Woo

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-642-11760-2

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DOI: 10.1007/978-3-642-11760-2

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