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20062025
most citedLatent Markov model for longitudinal binary data: An application to the performance evaluation of nursing homes

64 citations · 184 across the 34 of their papers we have counts for

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8 papers · 1 filter

stat.AP2014

A multilevel finite mixture item response model to cluster examinees and schools

Michela Gnaldi, Silvia Bacci, Francesco Bartolucci

Within the educational context, a key goal is to assess students acquired skills and to cluster students according to their ability level. In this regard, a relevant element to be…

stat.AP2014

Item selection by Latent Class-based methods

Francesco Bartolucci, Giorgio E. Montanari, Silvia Pandolfi

The evaluation of nursing homes is usually based on the administration of questionnaires made of a large number of polytomous items. In such a context, the Latent Class (LC) model…

stat.AP2012

Joint Assessment of the Differential Item Functioning and Latent Trait Dimensionality of Students' National Tests

Michela Gnaldi, Francesco Bartolucci, Silvia Bacci

Within the educational context, students' assessment tests are routinely validated through Item Response Theory (IRT) models which assume unidimensionality and absence of Different…

stat.AP2012★ 2 cited

MultiLCIRT: An R package for multidimensional latent class item response models

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi

We illustrate a class of Item Response Theory (IRT) models for binary and ordinal polythomous items and we describe an R package for dealing with these models, which is named Multi…

stat.AP2010★ 2 cited

An investigation of the discriminant power and dimensionality of items used for assessing health condition of elderly people

Francesco Bartolucci, Giorgio d'Agostino, Giorgio E. Montanari

With reference to the questionnaire adopted within the Italian project "Ulisse" to assess health condition of elderly people, we investigate two important issues: discriminant powe…

stat.AP2009★ 52 cited

Assessment of school performance through a multilevel latent Markov Rasch model

Francesco Bartolucci, Fulvia Pennoni, Giorgio Vittadini

An extension of the latent Markov Rasch model is described for the analysis of binary longitudinal data with covariates when subjects are collected in clusters, e.g. students clust…