Diagnostic classification models: Recent developments, practical issues, and prospects
More than three decades after their introduction, diagnostic classification models (DCM) do
not seem to have been implemented in educational systems for the purposes they were …
not seem to have been implemented in educational systems for the purposes they were …
Statistical applications to cognitive diagnostic testing
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 …
a set of skills or attributes. Such tests have gained increasing attention in educational and …
Identifying latent structures in restricted latent class models
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 …
psychological and educational assessment, where the model parameters are restricted via a …
Cognitive diagnosis modelling incorporating item response times
To provide more refined diagnostic feedback with collateral information in item response
times (RT s), this study proposed joint modelling of attributes and response speed using item …
times (RT s), this study proposed joint modelling of attributes and response speed using item …
Bayesian estimation of the DINA Q matrix
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 …
classify students into skill mastery profiles. The deterministic inputs, noisy “and” gate model …
Recommendation system for adaptive learning
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 …
learner, differing from the traditional classroom experience. The latest advances in …
Identifiability of restricted latent class models with binary responses
G Xu - 2017 - projecteuclid.org
Statistical latent class models are widely used in social and psychological researches, yet it
is often difficult to establish the identifiability of the model parameters. In this paper, we …
is often difficult to establish the identifiability of the model parameters. In this paper, we …
Tracking skill acquisition with cognitive diagnosis models: A higher-order, hidden Markov model with covariates
S Wang, Y Yang, SA Culpepper… - Journal of Educational …, 2018 - journals.sagepub.com
A family of learning models that integrates a cognitive diagnostic model and a higher-order,
hidden Markov model in one framework is proposed. This new framework includes …
hidden Markov model in one framework is proposed. This new framework includes …
The sufficient and necessary condition for the identifiability and estimability of the DINA model
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 …
assessment. However, as many other latent variable models, the CDMs often suffer from the …
Partial identifiability of restricted latent class models
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 …
applications, prespecified restrictions are imposed on the parameter space of latent class …