A Multistrategy Cognitive Diagnosis Model Incorporating Item Response Times Based on Strategy Selection Theories

Junhuan Wei, Liufen Luo, Yan Cai and Dongbo Tu
Additional contact information
Junhuan Wei: Jiangxi Normal University
Liufen Luo: Fuzhou Vocational Technical College
Dongbo Tu: Jiangxi Normal University

Journal of Educational and Behavioral Statistics, 2024, vol. 49, issue 4, 658-686

Abstract: Response times (RTs) facilitate the quantification of underlying cognitive processes in problem-solving behavior. To provide more comprehensive diagnostic feedback on strategy selection and attribute profiles with multistrategy cognitive diagnosis model (CDM) and utilize additional information for item RTs, this study develops a multistrategy cognitive diagnosis modeling framework combined with RTs. The proposed model integrates individual response accuracy and RT into a unified framework to define strategy selection and make it closer to the individual’s strategy selection process. Simulation studies demonstrated that the proposed model had reasonable parameter recovery and attribute classification accuracy and outperformed the existing multistrategy CDMs and single-strategy CDMs in terms of performance. Empirical results further illustrated the practical application and the advantages of the proposed model.

Keywords: cognitive diagnosis model; multistrategy; response times; strategy selection (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986231200469 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:49:y:2024:i:4:p:658-686

DOI: 10.3102/10769986231200469

Access Statistics for this article

More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().