Two-Phase Item Selection Procedure for Flexible Content Balancing in CAT
نویسندگان
چکیده
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منابع مشابه
An Examination of Item Selection Rules by Stratified CAT Designs Integrated with Content Balancing Methods
The multistage a-stratified computerized adaptive testing design advocates a new philosophy on pool management and item selection of using low discriminating items first. It has been demonstrated through simulation studies to be effective both in reducing item overlap rate and enhancing pool utilization with certain pool types. Based on this design, two extended stratification methods have been...
متن کاملOverview and current management of computerized adaptive testing in licensing/certification examinations
Computerized adaptive testing (CAT) has been implemented in high-stakes examinations such as the National Council Licensure Examination-Registered Nurses in the United States since 1994. Subsequently, the National Registry of Emergency Medical Technicians in the United States adopted CAT for certifying emergency medical technicians in 2007. This was done with the goal of introducing the impleme...
متن کاملMultidimensional CAT Item Selection Methods for Domain Scores and Composite Scores: Theory and Applications.
Multidimensional computer adaptive testing (MCAT) can provide higher precision and reliability or reduce test length when compared with unidimensional CAT or with the paper-and-pencil test. This study compared five item selection procedures in the MCAT framework for both domain scores and overall scores through simulation by varying the structure of item pools, the population distribution of th...
متن کاملContent Balancing in Stratified Computerized Adaptive Testing Designs
For computerized adaptive testing (CAT) programs that adopt three-parameter logistic model, high discriminative items generally provide more information for trait estimation. The information based item selection methods in administering computerized adaptive tests (CATs) tend to choose the item that provides maximum information at an examinee’s estimated trait level. As a result, these methods ...
متن کاملa-Stratified CAT design with content blocking.
Content balancing is often required in the development and implementation of computerized adaptive tests (CATs). In the current study, we propose a modified a-stratified method, the a-stratified method with content blocking. As a further refinement of a-stratified CAT designs, the new method incorporates content specifications into item pool stratification. Simulation studies were conducted to ...
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