Incorporation of Content Balancing Requirements in Stratification Designs for Computerized Adaptive Testing
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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 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 ...
متن کاملOptimal Stratification of Item Pools in a-Stratified Computerized Adaptive Testing
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متن کاملA Strategy for Controlling Item Exposure in Multidimensional Computerized Adaptive Testing
While computerized adaptive tests have enjoyed tremendous growth in the past decade, satisfactory solutions for many important problems are still unavailable. Among these problems, a critical one is the control of item exposure rate. Because adaptive algorithms are designed to select optimal items, they tend to choose items with high discriminating power. Thus, these items are selected far more...
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