Accounting for some types of heterogeneity has been an important pathway to improving our
models in the transportation domain, specifically in travel behavior research. This study …

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 …

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

Item response theory (IRT) has become one of the most popular statistical models for
psychometrics, a field of study concerned with the theory and techniques of psychological …

Process data refer to data recorded in computer-based assessments (CBAs) that reflect
respondents' problem-solving processes and provide greater insight into how respondents …

Restricted latent class models (RLCMs) provide an important framework for supporting
diagnostic research in education and psychology. Recent research proposed fully …

In cognitive diagnostic assessment, multiple fine-grained attributes are measured
simultaneously. Attribute hierarchies are considered important structural features of …

Diagnostic classification models (DCMs) are restricted latent class models with a set of cross-
class equality constraints and additional monotonicity constraints on their item parameters …

Structured latent attribute models (SLAMs) are a special family of discrete latent variable
models widely used in social and biological sciences. This paper considers the problem of …

Restricted latent class models (RLCMs) are an important class of methods that provide
researchers and practitioners in the educational, psychological, and behavioral sciences …