A tutorial on cognitive diagnosis modeling for characterizing mental health symptom profiles using existing item responses
In research applications, mental health problems such as alcohol-related problems and
depression are commonly assessed and evaluated using scale scores or latent trait scores …
depression are commonly assessed and evaluated using scale scores or latent trait scores …
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 …
Improving reliability estimation in cognitive diagnosis modeling
Cognitive diagnosis models (CDMs) are used in educational, clinical, or personnel selection
settings to classify respondents with respect to discrete attributes, identifying strengths and …
settings to classify respondents with respect to discrete attributes, identifying strengths and …
Cognitively diagnostic analysis using the G-DINA model in R
Cognitive diagnosis models (CDMs) have increasingly been applied in education and other
fields. This article provides an overview of a widely used CDM, namely, the G-DINA model …
fields. This article provides an overview of a widely used CDM, namely, the G-DINA model …
A multiple logistic regression-based (MLR-B) Q-matrix validation method for cognitive diagnosis models: A confirmatory approach
D Tu, J Chiu, W Ma, D Wang, Y Cai… - Behavior Research …, 2023 - Springer
Q-matrix is an essential component specifying the relationship between attributes and items,
which plays a key role in cognitive diagnosis assessment. The Q-matrix is usually developed …
which plays a key role in cognitive diagnosis assessment. The Q-matrix is usually developed …
Using regularized methods to validate Q-matrix in cognitive diagnostic assessment
D Fu, C Qin, Z Luo, Y Li, X Yu… - Journal of Educational …, 2025 - journals.sagepub.com
One of the central components of cognitive diagnostic assessment is the Q-matrix, which is
an essential loading indicator matrix and is typically constructed by subject matter experts …
an essential loading indicator matrix and is typically constructed by subject matter experts …
[PDF][PDF] FoCo: A Shiny app for formative assessment using cognitive diagnosis modeling
La combinación de evaluaciones formativas y sumativas podría mejorar la evaluación. El
modelado de diagnóstico cognitivo (MDC) se ha propuesto para diagnosticar fortalezas y …
modelado de diagnóstico cognitivo (MDC) se ha propuesto para diagnosticar fortalezas y …
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 …
Combining regularization and logistic regression model to validate the Q‐matrix for cognitive diagnosis model
X Sun, T Zhang, C Nie, N Song… - British Journal of …, 2025 - Wiley Online Library
Q‐matrix is an important component of most cognitive diagnosis models (CDMs); however, it
mainly relies on subject matter experts' judgements in empirical studies, which introduces …
mainly relies on subject matter experts' judgements in empirical studies, which introduces …
An exploratory Q-matrix estimation method based on sparse non-negative matrix factorization
J **ong, Z Luo, G Luo, X Yu, Y Li - Behavior Research Methods, 2024 - Springer
Cognitive diagnostic assessment (CDA) is widely used because it can provide refined
diagnostic information. The Q-matrix is the basis of CDA, and can be specified by domain …
diagnostic information. The Q-matrix is the basis of CDA, and can be specified by domain …