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Gu, 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
Reeve, Charlie L.; Charles, Jennifer E. – Intelligence, 2008
The current study examines the views of experts in the science of mental abilities about the primacy and uniqueness of "g" and the social implications of ability testing, and compares their responses to the views of a group of non-expert psychologists. Results indicate expert consensus that "g" is an important, non-trivial determinant (or at least…
Descriptors: Race, Psychologists, Testing, Predictive Validity

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