Diagnostic classification models (DCMs) classify examinees based on the skills they have
mastered given their test performance. This classification enables targeted feedback that …

In contrast to unidimensional item response models that postulate a single underlying
proficiency, cognitive diagnosis models (CDMs) posit multiple, discrete skills or attributes …

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 …

This study aims to investigate the mastery profiles of digital literacy skills of Hong Kong
primary students using a general cognitive diagnosis model (CDM) framework. In particular …

As a core component of most cognitive diagnosis models, the Q‐matrix, or item and attribute
association matrix, is typically developed by domain experts, and tends to be subjective. It is …

The present study compared the performance of six cognitive diagnostic models (CDMs) to
explore inter skill relationship in a reading comprehension test. To this end, item responses …

Latent class models have wide applications in social and biological sciences. In many
applications, prespecified restrictions are imposed on the parameter space of latent class …

Cognitive diagnosis models (CDMs) allow classifying respondents into a set of discrete
attribute profiles. The internal structure of the test is determined in a Q-matrix, whose correct …

Despite the overwhelming use of tests and questionnaires, the psychometric models for
constructing these instruments are often poorly understood, leading to suboptimal …

Restricted latent class models (RLCMs) have recently gained prominence in educational
assessment, psychiatric evaluation, and medical diagnosis. In contrast to conventional latent …