Multilevel Latent Class Models

The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and non-parametric random-coefficient LC models are proposed here, which will make it possible to modify this assumption. For example, the models can be used for the analysis of data col...

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Veröffentlicht in:	Sociological methodology 2003-01, Vol.33 (1), p.213-239
1. Verfasser:	Vermunt, Jeroen K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Class Coefficients Comparative analysis Cross-national analysis Data analysis Data collection Error rates Estimation Latent class analysis Latent Structure Analysis Logistic regression Mathematical independent variables Mathematical models Measurement and Analysis in the Structural Equations Framework Modeling Multilevel models Multivariate Analysis Nonparametric models Parametric models Regression analysis Research methods Sociology
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