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Ho, Tsung-Han; Dodd, Barbara G. – Applied Measurement in Education, 2012
In this study we compared five item selection procedures using three ability estimation methods in the context of a mixed-format adaptive test based on the generalized partial credit model. The item selection procedures used were maximum posterior weighted information, maximum expected information, maximum posterior weighted Kullback-Leibler…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection

Powers, Donald E.; Bennett, Randy Elliot – Applied Measurement in Education, 1999
Explored how allowing examinees to select test questions affected examinee performance and test characteristics for a measure of ability to generate hypotheses about a situation. Results with 2,429 examinees who elected the choice condition on the Graduate Record Examination suggest that items are differentially attractive to examinees. (SLD)
Descriptors: Ability, College Students, Higher Education, Responses

Kingsbury, G. Gage; Zara, Anthony R. – Applied Measurement in Education, 1991
This simulation investigated two procedures that reduce differences between paper-and-pencil testing and computerized adaptive testing (CAT) by making CAT content sensitive. Results indicate that the price in terms of additional test items of using constrained CAT for content balancing is much smaller than that of using testlets. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Computer Simulation

Oshima, T. C.; And Others – Applied Measurement in Education, 1994
A procedure to detect differential item functioning (DIF) is introduced that is suitable for tests with a cutoff score. DIF is assessed on a limited closed interval of thetas in which a cutoff score falls. How this approach affects the identification of DIF items is demonstrated with real data sets. (SLD)
Descriptors: Ability, Classification, Cutting Scores, Identification

Hambleton, Ronald K.; Jones, Russell W. – Applied Measurement in Education, 1994
The impact of capitalizing on chance in item selection on the accuracy of test information functions was studied through simulation, focusing on examinee sample size in item calibration and the ratio of item bank size to test length. (SLD)
Descriptors: Computer Simulation, Estimation (Mathematics), Item Banks, Item Response Theory