Two efficient selection methods for high‐dimensional <scp>CD‐CAT</scp> utilizing max‐marginals factor from <scp>MAP</scp> query and ensemble learning approach

DOI10.1111/bmsp.12288OpenAlexW4307431072MaRDI QIDQ6127086

Fen Luo, Xiaoqing Wang, Yan Cai, Dongbo Tu

Publication date: 10 April 2024

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

Full work available at URL: https://doi.org/10.1111/bmsp.12288

zbMATH Keywords

real-time responseitem selection methodcomputerized adaptive testing for cognitive diagnosisensemble learning approachmax-marginals factormaximum a posteriori query

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Cites Work

• Bagging predictors
• The development of computerized adaptive testing with cognitive diagnosis for an English achievement test in China
• A general method of empirical Q-matrix validation
• The generalized DINA model framework
• When cognitive diagnosis meets computerized adaptive testing: CD-CAT
• A decision-theoretic generalization of on-line learning and an application to boosting
• Higher-order latent trait models for cognitive diagnosis
• Utilizing response times in cognitive diagnostic computerized adaptive testing under the higher‐order deterministic input, noisy ‘and’ gate model
• Elements of Information Theory
• Random forests

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