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Silvia Cagnone

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics


Keywords: Latent variable models Generalized linear latent variable models Structural equation models

  • Latent variable models
  • Structural equation models (Lisrel)
  • Categorical and longitudinal data analysis
  • Estimation and goodness of fit in latent variable models
  • Applications to health, education and social sciences

The aim of the scientific activity is the analysis of latent variable models with particular reference to generalized linear latent variable models (GLLVM) and structural equation models (SEM). From the methodological point of view, we deal with estimation problems and the goodness of fit problems related to these models. Particular attention is focused on the analysis of categorical and longitudinal data within this framework. From the applied point of view these models are used for analysis of socio-economic data, in educational field and in the health sciences.


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