Abstract Model-based clustering is a popular approach for clustering multivariate data which
has seen applications in numerous fields. Nowadays, high-dimensional data are more and …

The analysis of factor structures is one of the most critical psychometric applications.
Frequently, variables (ie, items or indicators) resulting from questionnaires using ordinal …

Missing item responses are prevalent in educational large-scale assessment studies such
as the programme for international student assessment (PISA). The current operational …

Missing item responses are frequently found in educational large-scale assessment studies.
In this article, the Mislevy-Wu item response model is applied for handling nonignorable …

In recent literature, alternative models for handling missing item responses in large-scale
assessments have been proposed. Based on simulations and arguments based on …

In biomedical research, cluster analysis is often performed to identify patient subgroups
based on patients' characteristics or traits. In the model-based clustering for identifying …

<? show [AQ ID= GQ2 POS=-12pt]?><? show [AQ ID= GQ4 POS= 6pt]?><? show [AQ ID=
GQ5 POS= 18pt]?> The Fellegi-Sunter model is a latent class model widely used in …

In recent literature, alternative models for handling missing item responses in large-scale
assessments are proposed. In principle, based on simulations and arguments based test …

The periodic evaluation of health care services is a primary concern for many institutions.
We consider services provided by nursing homes with the aim of ranking a set of these …

This paper focuses on a particular population segment, that of Millennials, which has
attracted much attention over recent years. Beyond the media hype, little is known about the …