Sufficient and necessary conditions for the identifiability of the Q-matrix
Restricted latent class models (RLCMs) have recently gained prominence in educational
assessment, psychiatric evaluation, and medical diagnosis. In contrast to conventional latent …
assessment, psychiatric evaluation, and medical diagnosis. In contrast to conventional latent …
Learning attribute hierarchies from data: Two exploratory approaches
In cognitive diagnostic assessment, multiple fine-grained attributes are measured
simultaneously. Attribute hierarchies are considered important structural features of …
simultaneously. Attribute hierarchies are considered important structural features of …
Learning latent and hierarchical structures in cognitive diagnosis models
Abstract Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable
models that are widely used in educational and psychological measurement. A key …
models that are widely used in educational and psychological measurement. A key …
Bayesian pyramids: Identifiable multilayer discrete latent structure models for discrete data
High-dimensional categorical data are routinely collected in biomedical and social sciences.
It is of great importance to build interpretable parsimonious models that perform dimension …
It is of great importance to build interpretable parsimonious models that perform dimension …
A joint MLE approach to large-scale structured latent attribute analysis
Structured latent attribute models (SLAMs) are a family of discrete latent variable models
widely used in education, psychology, and epidemiology to model multivariate categorical …
widely used in education, psychology, and epidemiology to model multivariate categorical …
Bridging parametric and nonparametric methods in cognitive diagnosis
C Ma, J de la Torre, G Xu - psychometrika, 2023 - Springer
A number of parametric and nonparametric methods for estimating cognitive diagnosis
models (CDMs) have been developed and applied in a wide range of contexts. However, in …
models (CDMs) have been developed and applied in a wide range of contexts. However, in …
Validating theoretical assumptions about reading with cognitive diagnosis models
AC George, A Robitzsch - International Journal of Testing, 2021 - Taylor & Francis
Modern large-scale studies such as the Progress in International Reading Literacy Study
(PIRLS) do not only report reading competence of students on a global reading scale but …
(PIRLS) do not only report reading competence of students on a global reading scale but …
Dynamic Optimization Method of Knowledge Graph Entity Relations for Smart Maintenance of Cantilever Roadheaders
Y Wang, Y Liu, K Ding, S Wei, X Zhang, Y Zhao - Mathematics, 2023 - mdpi.com
The fault maintenance scenario in coal-mine equipment intelligence is composed of videos,
images, signals, and repair process records. Text data are not the primary data that reflect …
images, signals, and repair process records. Text data are not the primary data that reflect …
Regularized latent class analysis for polytomous item responses: An application to SPM-LS data
A Robitzsch - Journal of Intelligence, 2020 - mdpi.com
The last series of Raven's standard progressive matrices (SPM-LS) test was studied with
respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS …
respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS …
On the boundary problems in diagnostic classification models
K Yamaguchi - Behaviormetrika, 2023 - Springer
In diagnostic classification models, parameter estimation sometimes provides estimates that
stick to the boundaries of the parameter space, which is called the boundary problem and …
stick to the boundaries of the parameter space, which is called the boundary problem and …