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Download full textGu, Lixiong; Ling, Guangming; Qu, Yanxuan – ETS Research Report Series, 2019
Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Use, Test Items
Lipnevich, Anastasiya A.; Smith, Jeffrey K. – ETS Research Report Series, 2008
This experiment involved college students (N = 464) working on an authentic learning task (writing an essay) under 3 conditions: no feedback, detailed feedback (perceived by participants to be provided by the course instructor), and detailed feedback (perceived by participants to be computer generated). Additionally, conditions were crossed with 2…
Descriptors: Feedback (Response), Information Sources, College Students, Essays
