[HTML][HTML] 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 …
Data-driven learning of Q-matrix
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 …
statistical models for diagnostic classification. Central to many such models is the well …
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 …
Statistical Analysis of Q-Matrix Based Diagnostic Classification Models
Diagnostic classification models (DMCs) have recently gained prominence in educational
assessment, psychiatric evaluation, and many other disciplines. Central to the model …
assessment, psychiatric evaluation, and many other disciplines. Central to the model …
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 diagnostic classification models
G Xu, S Zhang - Psychometrika, 2016 - Springer
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 …
In this paper, we consider the issue of their identifiability. In particular, we focus on one basic …
Statistical applications in educational measurement
Educational measurement assigns numbers to individuals based on observed data to
represent individuals' educational properties such as abilities, aptitudes, achievements …
represent individuals' educational properties such as abilities, aptitudes, achievements …
Bayesian estimation of the DINA model with Gibbs sampling
SA Culpepper - Journal of Educational and Behavioral …, 2015 - journals.sagepub.com
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 …
presented. Gibbs sampling is employed to simulate from the joint posterior distribution of …
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 …