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Schuetze, Brendan A.; Yan, Veronica X. – Cognitive Science, 2022
Learners are often constrained by their available study time, typically having to make a trade-off between depth and breadth of learning. Classic experimental paradigms in memory research treat all items as equally important, but this is unlikely the case in reality. Rather, information varies in importance, and people vary in their ability to…
Descriptors: Learning Processes, Study Habits, Time Factors (Learning), Time Management
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Lewandowski, Lawrence; Gathje, Rebecca A.; Lovett, Benjamin J.; Gordon, Michael – Journal of Psychoeducational Assessment, 2013
College students with attention deficit hyperactivity disorder (ADHD) often request and receive extended time to complete high-stakes exams and classroom tests. This study examined the performances and behaviors of college students on computerized simulations of high-stakes exams. Thirty-five college students with ADHD were compared to 185 typical…
Descriptors: Attention Deficit Disorders, Comparative Analysis, Testing, Vocabulary
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2013
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Chang, Hua-Hua; Qian, Jiahe; Yang, Zhiliang – Applied Psychological Measurement, 2001
Proposed a refinement, based on the stratification of items developed by D. Weiss (1973), of the computerized adaptive testing item selection procedure of H. Chang and Z. Ying (1999). Simulation studies using an item bank from the Graduate Record Examination show the benefits of the new procedure. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Slater, Sharon C.; Schaeffer, Gary A. – 1996
The General Computer Adaptive Test (CAT) of the Graduate Record Examinations (GRE) includes three operational sections that are separately timed and scored. A "no score" is reported if the examinee answers fewer than 80% of the items or if the examinee does not answer all of the items and leaves the section before time expires. The 80%…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Equal Education