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A Multilevel Latent Variable Model for Multidimensional Longitudinal Data

  • Silvia BianconciniEmail author
  • Silvia Cagnone
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

We propose a latent variable approach for modeling repeated multiple continuous responses. First the item correlation over time is explained by using latent growth curves, then the variability among items is accounted for by an overall latent variable. An EM algorithm is implemented to obtain maximum likelihood estimation of the model parameters.

Keywords

Latent Variable Level Unit Level Equation Latent Growth Curve Latent Growth Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of StatisticsUniversity of BolognaBolognaItaly

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