Using machine learning to improve Q-matrix validation
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Link
https://link.springer.com/content/pdf/10.3758/s13428-023-02126-0.pdf
Reference57 articles.
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3. Chen, H., & Chen, J. (2015). Exploring reading comprehension skill relationships through the G-DINA model. Educational Psychology, 36, 1049–1064. https://doi.org/10.1080/01443410.2015.1076764
4. Chen, Y., Culpepper, S. A., Chen, Y., & Douglas, J. (2018). Bayesian estimation of the DINA Q matrix. Psychometrika, 83, 89–108. https://doi.org/10.1007/s11336-017-9579-4
5. Chiu, C.-Y. (2013). Statistical refinement of the Q-matrix in cognitive diagnosis. Applied Psychological Measurement, 37, 598–618. https://doi.org/10.1177/0146621613488436
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