[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 …
[HTML][HTML] Implementation aspects in regularized structural equation models
A Robitzsch - Algorithms, 2023 - mdpi.com
This article reviews several implementation aspects in estimating regularized single-group
and multiple-group structural equation models (SEM). It is demonstrated that approximate …
and multiple-group structural equation models (SEM). It is demonstrated that approximate …
Tracking knowledge proficiency of students with calibrated Q-matrix
With the emergence of intelligent educational systems, numerous research works are
dedicated to Knowledge Tracing (KT), which refers to the issue of diagnosing students' …
dedicated to Knowledge Tracing (KT), which refers to the issue of diagnosing students' …
Rungang Han and Anru R. Zhangs contribution to the Discussion of 'Vintage factor analysis with varimax performs statistical inference'by Rohe & Zeng
In the 1930s, Psychologists began developing Multiple-Factor Analysis to decompose
multivariate data into a small number of interpretable factors without any a priori knowledge …
multivariate data into a small number of interpretable factors without any a priori knowledge …
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 …
A sparse latent class model for cognitive diagnosis
Cognitive diagnostic models (CDMs) are latent variable models developed to infer latent
skills, knowledge, or personalities that underlie responses to educational, psychological …
skills, knowledge, or personalities that underlie responses to educational, psychological …
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 …
[HTML][HTML] Determining the number of attributes in cognitive diagnosis modeling
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 …
attribute profiles. The internal structure of the test is determined in a Q-matrix, whose correct …
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 …
Estimating the cognitive diagnosis Q matrix with expert knowledge: Application to the fraction-subtraction dataset
SA Culpepper - Psychometrika, 2019 - Springer
Cognitive diagnosis models (CDMs) are an important psychometric framework for classifying
students in terms of attribute and/or skill mastery. The QQ matrix, which specifies the …
students in terms of attribute and/or skill mastery. The QQ matrix, which specifies the …