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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
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
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
Kobrin, Jennifer L.; Deng, Hui; Shaw, Emily J. – Journal of Applied Testing Technology, 2007
This study was designed to address two frequent criticisms of the SAT essay--that essay length is the best predictor of scores, and that there is an advantage in using more "sophisticated" examples as opposed to personal experience. The study was based on 2,820 essays from the first three administrations of the new SAT. Each essay was…
Descriptors: Testing Programs, Computer Assisted Testing, Construct Validity, Writing Skills