Many clinical and psychological constructs are conceptualized to have multivariate higher-
order constructs that give rise to multidimensional lower-order traits. Although recent …

Research studies in psychology and education often seek to detect changes or growth in an
outcome over a duration of time. This research provides a solution to those interested in …

It is usually impossible to impose experimental conditions in large-scale longitudinal
(observational) studies in education. This increases the risk of bias due to for instance …

Multidimensional item response theory (MIRT) models are quite useful to analyze datasets
involving multiple skills or latent traits, which occur in many applications. However, most of …

In this work we develop a longitudinal IRT model considering skewed latent traits
distribution, based on the work of Pourahmadi (1999), which uses the Cholesky …

In this work we proposed an approach for modeling longitudinal Item Response Theory
(IRT) data based on the work of Pourahmadi (1999), which uses the Cholesky …

Na presente tese desenvolvemos classes de modelos longitudinais da Teoria de Resposta
o Item (TRI) considerando duas abordagens. A primeira é baseada na decomposição de …

Repeatedly administered multi-item questionnaires are often used to determine the
development of patient's health status over time. Examples are questionnaires on quality of …

This work consists of four major parts, which correspond to contributions related to Item
Response Theory (IRT), regarding item response function modeling, latent traits distribution …

In this work we introduce a multiple-group longitudinal IRT model considering skewed latent
traits distribution, based on the work of Pourahmadi (1999), which uses the Cholesky …