Optimizing Diagnostic Classification Models Application Considering Real-Life Constraints

Kun Su and Robert A. Henson
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Kun Su: Sun Yat-Sen University
Robert A. Henson: University of North Carolina at Greensboro

Journal of Educational and Behavioral Statistics, 2023, vol. 48, issue 6, 750-772

Abstract: This article provides a process to carefully evaluate the suitability of a content domain for which diagnostic classification models (DCMs) could be applicable and then optimized steps for constructing a test blueprint for applying DCMs and a real-life example illustrating this process. The content domains were carefully evaluated using a set of defined criteria, which are purposely defined to improve the success rate of DCM implementation. Given the domain, the Q-matrix is determined by a simulation-based approach using correct classification rates as criteria. Finally, a physics test on the final Q-matrix was developed, administered, and analyzed by the author and the subject-matter experts (SMEs).

Keywords: diagnostic classification models; application; physics education; mechanical efficiency; test construction (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:48:y:2023:i:6:p:750-772

DOI: 10.3102/10769986231159137

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