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The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model
Lucia Guastadisegni, Silvia Cagnone, Irini Moustaki +1
This paper introduces the generalized Hausman test as a novel method for detecting non-normality of the latent variable distribution of unidimensional Item Response Theory (IRT) mo…
Approximate likelihood inference in generalized linear latent variable models based on integral dimension reduction
Silvia Bianconcini, Silvia Cagnone, Dimitris Rizopoulos
Latent variable models represent a useful tool for the analysis of complex data when the constructs of interest are not observable. A problem related to these models is that the in…
A factor mixture analysis model for multivariate binary data
Silvia Cagnone, Cinzia Viroli
The paper proposes a latent variable model for binary data coming from an unobserved heterogeneous population. The heterogeneity is taken into account by replacing the traditional…