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Chang, Hua-Hua1
Ying, Zhiliang1
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Chang, Hua-Hua; Ying, Zhiliang – Applied Psychological Measurement, 1996
An item selection procedure for computerized adaptive testing based on average global information is proposed. Results from simulation studies comparing the approach with the usual maximum item information item selection indicate that the new method leads to improvement in terms of bias and mean squared error reduction under many circumstances.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Error of Measurement, Item Response Theory