A comparison of item selection procedures using different ability estimation methods in computerized adaptive testing based on the generalized partial credit model
Computerized adaptive testing (CAT) provides a highly efficient alternative to the paper-and-pencil test. By selecting items that match examinees’ ability levels, CAT not only can shorten test length and administration time but it can also increase measurement precision and reduce measurement error....
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Format: | Others |
Language: | English |
Published: |
2010
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Online Access: | http://hdl.handle.net/2152/ETD-UT-2010-05-780 |