Research Article

Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education

Volume: 33 Number: 1 January 28, 2025
EN

Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education

Abstract

Purpose: This study aims to compare the parameters of DINA, DINO, HO-DINA and HO-DINO models according to different sample sizes (500, 2000, 5000) and different item numbers (60, 120) based on the Q matrices created for different attributes in health education based on simulation data. Design/Methodology/Approach: In the simulation data, 50 replications were performed for each condition. In the study, two different Q-Matrixes were determined based on the learning domain determined by considering the 2018 TUS Spring Assessment Report and the taxonomy included in the Clinical assessment framework determined in Miller's 1990 study as the attributes dimension in the Q-Matrix in which matching of attribute and item is carried out. In the study, RMSEA, g and s parameters and classification accuracies were compared and under which conditions DINA, DINO, HO-DINA and HO-DINO models gave similar or different results were investigated. Findings: According to the research findings, the Q-Matrix, in which Fields levels were used as the attribute dimension, was the matrix that gave the best parameter results in all models. In addition, it has been determined that the models that give the best RMSEA, g and s parameters and classification accuracies are DINO and HO-DINO models in the analysis. Highlights: Based on the findings, when analyzing the results for the Basic Medical Sciences and Clinical Medical Sciences tests, it is evident that the Q matrix determined by Fields provides a better fit to the data, and moreover, it is advantageous for the Q matrix determined by Fields to be used for the TUS exam.

Keywords

Cognitive Diagnostic Models, DINA model, DINO model, Q matrix, Health Education

References

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APA
Gencan, S., & Tan, Ş. (2025). Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education. Kastamonu Education Journal, 33(1), 48-66. https://doi.org/10.24106/kefdergi.1628232
AMA
1.Gencan S, Tan Ş. Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education. Kastamonu Education Journal. 2025;33(1):48-66. doi:10.24106/kefdergi.1628232
Chicago
Gencan, Sena, and Şeref Tan. 2025. “Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education”. Kastamonu Education Journal 33 (1): 48-66. https://doi.org/10.24106/kefdergi.1628232.
EndNote
Gencan S, Tan Ş (January 1, 2025) Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education. Kastamonu Education Journal 33 1 48–66.
IEEE
[1]S. Gencan and Ş. Tan, “Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education”, Kastamonu Education Journal, vol. 33, no. 1, pp. 48–66, Jan. 2025, doi: 10.24106/kefdergi.1628232.
ISNAD
Gencan, Sena - Tan, Şeref. “Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education”. Kastamonu Education Journal 33/1 (January 1, 2025): 48-66. https://doi.org/10.24106/kefdergi.1628232.
JAMA
1.Gencan S, Tan Ş. Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education. Kastamonu Education Journal. 2025;33:48–66.
MLA
Gencan, Sena, and Şeref Tan. “Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education”. Kastamonu Education Journal, vol. 33, no. 1, Jan. 2025, pp. 48-66, doi:10.24106/kefdergi.1628232.
Vancouver
1.Sena Gencan, Şeref Tan. Comparison of Classification Accuracy and Parameters of DINA, DINO, HO-DINA and HO-DINO Models in the Framework of Cognitive Diagnosis in Health Education. Kastamonu Education Journal. 2025 Jan. 1;33(1):48-66. doi:10.24106/kefdergi.1628232