Data‐driven Q‐matrix learning based on Boolean matrix factorization in cognitive diagnostic assessment

DOI10.1111/bmsp.12271WikidataQ114082420 ScholiaQ114082420MaRDI QIDQ6127023

Jianhua Xiong, Guanzhong Luo, Xiaofeng Yu, Unnamed Author

Publication date: 10 April 2024

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

zbMATH Keywords

DINA modelBoolean matrix factorization\(\mathrm{Q}\)-matrixattribute mastery patterncognitive diagnostic assessment

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Cites Work

• Discovery of optimal factors in binary data via a novel method of matrix decomposition
• Identifiability of diagnostic classification models
• A general method of empirical Q-matrix validation
• Online calibration methods for the DINA model with independent attributes in CD-CAT
• The generalized DINA model framework
• Inferring the number of attributes for the exploratory DINA model
• Estimating the dimension of a model
• Bayesian estimation of the DINA \(Q\) matrix
• On the consistency of \(Q\)-matrix estimation: a commentary
• Estimating multiple classification latent class models
• How to build a complete Q-matrix for a cognitively diagnostic test
• The sufficient and necessary condition for the identifiability and estimability of the DINA Model
• Theory of self-learning \(Q\)-matrix
• Factor profiled sure independence screening
• Identifying Latent Structures in Restricted Latent Class Models
• Sufficient and Necessary Conditions for the Identifiability of the $Q$-matrix
• Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models
• 31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models

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