Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …

We illustrate a class of multidimensional item response theory models in which the items are
allowed to have different discriminating power and the latent traits are represented through a …

We provide a comprehensive overview of latent Markov (LM) models for the analysis of
longitudinal categorical data. The main assumption behind these models is that the …

The aim of this book is to give bachelor students in the behavioral sciences an introduction
to basic models for latent variables, so that the student can use these models in the …

Measurement invariance (MI) describes the equivalence of measurement models of a
construct across groups or time. When comparing latent means, MI is often stated as a …

In behavioural sciences, local dependence and DIF are common, and purification
procedures that eliminate items with these weaknesses often result in short scales with poor …

For a class of latent Markov models for discrete variables having a longitudinal structure, we
introduce an approach for formulating and testing linear hypotheses on the transition …

A class of Item Response Theory (IRT) models for binary and ordinal polytomous items is
illustrated and an R package for dealing with these models, named MultiLCIRT, is …

Performance evaluation of nursing homes is usually accomplished by the repeated
administration of questionnaires aimed at measuring the health status of the patients during …

Despite recent empirical evidence on the importance of perceived inequality, its analysis is
still underexplored. In this paper we study whether unobserved perceptions of inequality are …