Effects of sample size, ability distribution, and the length of Markov Chain Monte Carlo burn-in chains on the estimation of item and testlet parameters
Item Response Theory (IRT) models are the basis of modern educational measurement. In order to increase testing efficiency, modern tests make ample use of groups of questions associated with a single stimulus (testlets). This violates the IRT assumption of local independence. However, a set of measu...
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Format: | Others |
Language: | English |
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2011
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Online Access: | http://hdl.handle.net/2152/ETD-UT-2011-05-2684 |