Diagnostic classification tests are designed to assess examinees' discrete mastery status on
a set of skills or attributes. Such tests have gained increasing attention in educational and …

The recent surge of interests in cognitive assessment has led to developments of novel
statistical models for diagnostic classification. Central to many such models is the well …

This article focuses on a family of restricted latent structure models with wide applications in
psychological and educational assessment, where the model parameters are restricted via a …

Diagnostic classification models (DMCs) have recently gained prominence in educational
assessment, psychiatric evaluation, and many other disciplines. Central to the model …

Cognitive diagnosis models are partially ordered latent class models and are used to
classify students into skill mastery profiles. The deterministic inputs, noisy “and” gate model …

An adaptive learning system aims at providing instruction tailored to the current status of a
learner, differing from the traditional classroom experience. The latest advances in …

Diagnostic classification models (DCMs) are important statistical tools in cognitive diagnosis.
In this paper, we consider the issue of their identifiability. In particular, we focus on one basic …

Educational measurement assigns numbers to individuals based on observed data to
represent individuals' educational properties such as abilities, aptitudes, achievements …

A Bayesian model formulation of the deterministic inputs, noisy “and” gate (DINA) model is
presented. Gibbs sampling is employed to simulate from the joint posterior distribution of …

Cognitive diagnosis models (CDMs) are useful statistical tools in cognitive diagnosis
assessment. However, as many other latent variable models, the CDMs often suffer from the …