Longitudinal Research with Latent Variables

This book combines longitudinal research and latent variable research, i.e. it explains how longitudinal studies with objectives formulated in terms of latent variables should be carried out, with an emphasis on detailing how the methods are applied. Because longitudinal research with latent variabl...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: van Montfort, Kees. (Editor), Oud, Johan H.L. (Editor), Satorra, Albert. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-11760-2
Table of Contents:
  • A. Hagenaars: Loglinear Latent Variable Models for Longitudinal Categorical Data
  • Geert Verbeke, Geert Molenberghs, and Dimitris Rizopoulos: Random Effects Models for Longitudinal Data
  • Nicholas T. Longford: Multivariate and Multilevel Longitudinal Analysis
  • Jeroen K. Vermunt: Longitudinal Research Using Mixture Models
  • Kenneth A. Bollen and Catherine Zimmer: An Overview of the Autoregressive Latent Trajectory (ALT) Model
  • Jacques J.F. Commandeur, Siem Jan Koopman, and Kees van Montfort: State Space Methods for Latent Trajectory and Parameter Estimation by Maximum Likelihood
  • Johan H.L. Oud and Marc J.M.H. Delsing: Continuous Time Modeling of Panel Data by means of SEM
  • John J. McArdle and Kevin J. Grimm: Five steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data.-Daniel J. Blake, Janet M. Box-Steffensmeier, and Byungwon Woo: Structural Interdependence and Unobserved Heterogeneity in Event History Analysis.