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Ziying Li; A. Corinne Huggins-Manley; Walter L. Leite; M. David Miller; Eric A. Wright – Educational and Psychological Measurement, 2022
The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…
Descriptors: Sequential Approach, Item Response Theory, Data, Simulation
Papenberg, Martin; Diedenhofen, Birk; Musch, Jochen – Journal of Experimental Education, 2021
Testwiseness may introduce construct-irrelevant variance to multiple-choice test scores. Presenting response options sequentially has been proposed as a potential solution to this problem. In an experimental validation, we determined the psychometric properties of a test based on the sequential presentation of response options. We created a strong…
Descriptors: Test Wiseness, Test Validity, Test Reliability, Multiple Choice Tests
Wu, Xiaopeng; Wu, Rongxiu; Zhang, Yi; Arthur, David; Chang, Hua-Hua – Assessment in Education: Principles, Policy & Practice, 2021
Learning path and learning progression have received extensive attention from broad disciplines. The existing research In the field of learning path is rarely applied in curriculum learning and teaching. Learning progression is usually constructed through observations, interviews but not quantitative analyses. With 726 Grade 8 students'…
Descriptors: Cognitive Measurement, Mathematics Skills, Learning Processes, Sequential Approach