Chapter: Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

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Home > Longitudinal Research with Latent Variables > Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

Longitudinal Research with Latent Variables |

Kees van Montfort; Johan H.L. Oud; Albert Satorra

Springer Berlin Heidelberg

Longitudinal Research with Latent Variables

Structural Interdependence and Unobserved Heterogeneity in Event History Analysis

Chapter Info

Authors

Daniel J. Blake; Janet M. Box-Steffensmeier; Byungwon Woo

ARI Id

1665074177943_4720784

Access

Not Available Free

Pages

275-301

DOI

10.1007/978-3-642-11760-2_9

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-11760-2_9

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xi
Loglinear Latent Variable Models for Longitudinal Categorical Data	Jacques A. Hagenaars	1-36
Random Effects Models for Longitudinal Data	Geert Verbeke; Geert Molenberghs; Dimitris Rizopoulos	37-96
Multivariate and Multilevel Longitudinal Analysis	Nicholas T. Longford	97-117
Longitudinal Research Using Mixture Models	Jeroen K. Vermunt	119-152
An Overview of the Autoregressive Latent Trajectory (ALT) Model	Kenneth A. Bollen; Catherine Zimmer	153-176
State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood	Jacques J. F. Commandeur; Siem Jan Koopman; Kees van Montfort	177-199
Continuous Time Modeling of Panel Data by means of SEM	Johan H. L. Oud; Marc J. M. H. Delsing	201-244
Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data	John J. McArdle; Kevin J. Grimm	245-273
Structural Interdependence and Unobserved Heterogeneity in Event History Analysis	Daniel J. Blake; Janet M. Box-Steffensmeier; Byungwon Woo	275-301
Chapters/Headings	Author(s)	Pages	Info

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