Constructing a Computerized Adaptive Test for Multidimensional Mathematical Competence: Development, Simulation, and Validation

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Constructing a Computerized Adaptive Test for Multidimensional Mathematical Competence: Development, Simulation, and Validation
Γλώσσα: English
Συγγραφείς: Yao-Ting Sung, Yu-Chun Lien (ORCID 0009-0002-6428-5845), Yeh-Tai Chou, Wei-Hong Yang
Πηγή: International Journal of Science and Mathematics Education. 2026 24(6).
Διαθεσιμότητα: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 33
Ημερομηνία έκδοσης: 2026
Τύπος εγγράφου: Journal Articles
Reports - Research
Education Level: High Schools
Secondary Education
Grade 10
Descriptors: Test Construction, Computer Assisted Testing, Adaptive Testing, Mathematics Tests, Simulation, Test Validity, Item Response Theory, Item Banks, Accuracy, Efficiency, Educational Diagnosis, Data Analysis, High School Students, Grade 10
DOI: 10.1007/s10763-026-10701-y
ISSN: 1571-0068
1573-1774
Περίληψη: This study utilized Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) techniques to develop and preliminarily evaluate a multidimensional Mathematics Competence Assessment and Diagnosis (MCAD). The research consisted of three studies: First, we followed a five-step process to construct the item bank, which included Item Construction, Booklet Design, Participants, Procedure, and Data Analysis. Second, we conducted a simulation study to assess measurement precision and testing efficiency. The results indicated that MCAD's measurement precision exceeded that of unidimensional CAT and random administration of items, requiring less than 33% of the items needed by these methods to achieve equivalent reliability. Third, after developing the MCAD system, we carried out a preliminary empirical study involving 105 tenth-grade students. We used their Comprehensive Assessment Program for Junior High School Students (CAP) mathematics test as a criterion to examine the MCAD's criterion-related evidence, which was found to be over 0.7. However, the high correlations among dimensions and the characteristics of the empirical sample suggest that dimension-specific interpretations should be made cautiously. Overall, the findings provide preliminary support for MCAD as a potentially efficient tool for assessing mathematical competence.
Abstractor: As Provided
Entry Date: 2026
Αριθμός Καταχώρησης: EJ1514474
Βάση Δεδομένων: ERIC
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  – Url: https://dx.doi.org/doi:10.1007/s10763-026-10701-y
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  Data: Constructing a Computerized Adaptive Test for Multidimensional Mathematical Competence: Development, Simulation, and Validation
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  Data: <searchLink fieldCode="AR" term="%22Yao-Ting+Sung%22">Yao-Ting Sung</searchLink><br /><searchLink fieldCode="AR" term="%22Yu-Chun+Lien%22">Yu-Chun Lien</searchLink> (ORCID <externalLink term="http://orcid.org/0009-0002-6428-5845">0009-0002-6428-5845</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yeh-Tai+Chou%22">Yeh-Tai Chou</searchLink><br /><searchLink fieldCode="AR" term="%22Wei-Hong+Yang%22">Wei-Hong Yang</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Science+and+Mathematics+Education%22"><i>International Journal of Science and Mathematics Education</i></searchLink>. 2026 24(6).
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: 33
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  Data: <searchLink fieldCode="DE" term="%22Test+Construction%22">Test Construction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Testing%22">Computer Assisted Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+Testing%22">Adaptive Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Tests%22">Mathematics Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation%22">Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Validity%22">Test Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Item+Response+Theory%22">Item Response Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Item+Banks%22">Item Banks</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Efficiency%22">Efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Diagnosis%22">Educational Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22High+School+Students%22">High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+10%22">Grade 10</searchLink>
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  Data: 10.1007/s10763-026-10701-y
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  Data: This study utilized Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) techniques to develop and preliminarily evaluate a multidimensional Mathematics Competence Assessment and Diagnosis (MCAD). The research consisted of three studies: First, we followed a five-step process to construct the item bank, which included Item Construction, Booklet Design, Participants, Procedure, and Data Analysis. Second, we conducted a simulation study to assess measurement precision and testing efficiency. The results indicated that MCAD's measurement precision exceeded that of unidimensional CAT and random administration of items, requiring less than 33% of the items needed by these methods to achieve equivalent reliability. Third, after developing the MCAD system, we carried out a preliminary empirical study involving 105 tenth-grade students. We used their Comprehensive Assessment Program for Junior High School Students (CAP) mathematics test as a criterion to examine the MCAD's criterion-related evidence, which was found to be over 0.7. However, the high correlations among dimensions and the characteristics of the empirical sample suggest that dimension-specific interpretations should be made cautiously. Overall, the findings provide preliminary support for MCAD as a potentially efficient tool for assessing mathematical competence.
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      – SubjectFull: Test Construction
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