NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zhan, Peida; Liu, Yaohui; Yu, Zhaohui; Pan, Yanfang – Applied Measurement in Education, 2023
Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…
Descriptors: Skill Development, Cognitive Measurement, Models, Educational Diagnosis
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Ling Ling; Jian, Sun Xiao; Liu, Yan Lou; Xin, Tao – Applied Measurement in Education, 2023
Cognitive diagnostic assessment based on Bayesian networks (BN) is developed in this paper to evaluate student understanding of the physical concept of buoyancy. we propose a three-order granular-hierarchy BN model which accounts for both fine-grained attributes and high-level proficiencies. Conditional independence in the BN structure is tested…
Descriptors: Bayesian Statistics, Networks, Cognitive Measurement, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Youn Seon Lim – Applied Measurement in Education, 2024
Educational testing has been criticized for its disconnect from modern cognitive science and its limited role in improving instruction and student learning. Reform efforts emphasize the need for testing to provide specific diagnostic insights into students' skills and knowledge. Cognitive diagnosis (CD), an emerging paradigm in educational…
Descriptors: Q Methodology, Matrices, Models, Design
Peer reviewed Peer reviewed
Direct linkDirect link
Mehrazmay, Roghayeh; Ghonsooly, Behzad; de la Torre, Jimmy – Applied Measurement in Education, 2021
The present study aims to examine gender differential item functioning (DIF) in the reading comprehension section of a high stakes test using cognitive diagnosis models. Based on the multiple-group generalized deterministic, noisy "and" gate (MG G-DINA) model, the Wald test and likelihood ratio test are used to detect DIF. The flagged…
Descriptors: Test Bias, College Entrance Examinations, Gender Differences, Reading Tests