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Leroux, Audrey J.; Lopez, Myriam; Hembry, Ian; Dodd, Barbara G. – Educational and Psychological Measurement, 2013
This study compares the progressive-restricted standard error (PR-SE) exposure control procedure to three commonly used procedures in computerized adaptive testing, the randomesque, Sympson-Hetter (SH), and no exposure control methods. The performance of these four procedures is evaluated using the three-parameter logistic model under the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Comparative Analysis, Statistical Analysis
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
Whittaker, Tiffany A.; Chang, Wanchen; Dodd, Barbara G. – Applied Psychological Measurement, 2012
When tests consist of multiple-choice and constructed-response items, researchers are confronted with the question of which item response theory (IRT) model combination will appropriately represent the data collected from these mixed-format tests. This simulation study examined the performance of six model selection criteria, including the…
Descriptors: Item Response Theory, Models, Selection, Criteria

Davis, Laurie Laughlin; Pastor, Dena A.; Dodd, Barbara G.; Chiang, Claire; Fitzpatrick, Steven J. – Journal of Applied Measurement, 2003
Examined the effectiveness of the Sympson-Hetter technique and rotated content balancing relative to no exposure control and no content rotation conditions in a computerized adaptive testing system based on the partial credit model. Simulation results show the Sympson-Hetter technique can be used with minimal impact on measurement precision,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation

Pastor, Dena A.; Dodd, Barbara G.; Chang, Hua-Hua – Applied Psychological Measurement, 2002
Studied the impact of using five different exposure control algorithms in two sizes of item pool calibrated using the generalized partial credit model. Simulation results show that the a-stratified design, in comparison to a no-exposure control condition, could be used to reduce item exposure and overlap and increase pool use, while degrading…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Item Banks

Cook, Karon F.; Dodd, Barbara G.; Fitzpatrick, Steven J. – Journal of Outcome Measurement, 1999
The partial-credit model, the generalized partial-credit model, and the graded-response model were compared in the context of testlet scoring using Scholastic Assessment Tests results (n=2,548) and a simulated data set. Results favor the partial-credit model in this context; considerations for model selection in other contexts are discussed. (SLD)
Descriptors: College Entrance Examinations, Comparative Analysis, High School Students, Item Response Theory

Dodd, Barbara G. – Applied Psychological Measurement, 1990
Using one simulated and two real data sets, the effects of the systematic variation of the item-selection procedure and the stepsize method on the operating characteristics of computerized adaptive testing (CAT) for instruments with polychotomously scored rating scale items were studied. The six rating scale CAT procedures used performed well.…
Descriptors: Adaptive Testing, Attitude Measures, Comparative Analysis, Computer Assisted Testing