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Adaptive Testing3
Computer Assisted Testing3
Test Items3
Selection2
Arithmetic1
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Deng, Hui3
Chang, Hua-Hua2
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Stratified and Maximum Information Item Selection Procedures in Computer Adaptive Testing
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Deng, Hui; Ansley, Timothy; Chang, Hua-Hua – Journal of Educational Measurement, 2010
In this study we evaluated and compared three item selection procedures: the maximum Fisher information procedure (F), the a-stratified multistage computer adaptive testing (CAT) (STR), and a refined stratification procedure that allows more items to be selected from the high a strata and fewer items from the low a strata (USTR), along with…
Descriptors: Computer Assisted Testing, Adaptive Testing, Selection, Methods
An Investigation of Scale Drift for Arithmetic Assessment of ACCUPLACER®. Research Report No. 2010-2
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Deng, Hui; Melican, Gerald – College Board, 2010
The current study was designed to extend the current literature to study scale drift in CAT as part of improving quality control and calibration process for ACCUPLACER, a battery of large-scale adaptive placement tests. The study aims to evaluate item parameter drift using empirical data that span four years from the ACCUPLACER Arithmetic…
Descriptors: Student Placement, Adaptive Testing, Computer Assisted Testing, Mathematics Tests
A-Stratified Computerized Adaptive Testing with Unequal Item Exposure across Strata.
Deng, Hui; Chang, Hua-Hua – 2001
The purpose of this study was to compare a proposed revised a-stratified, or alpha-stratified, USTR method of test item selection with the original alpha-stratified multistage computerized adaptive testing approach (STR) and the use of maximum Fisher information (FSH) with respect to test efficiency and item pool usage using simulated computerized…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection