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Direct linkKim, Jihye – ProQuest LLC, 2010
In DIF studies, a Type I error refers to the mistake of identifying non-DIF items as DIF items, and a Type I error rate refers to the proportion of Type I errors in a simulation study. The possibility of making a Type I error in DIF studies is always present and high possibility of making such an error can weaken the validity of the assessment.…
Descriptors: Test Bias, Test Length, Simulation, Testing
Pankau, Brian L. – ProQuest LLC, 2009
This empirical study evaluates the document category prediction effectiveness of Naive Bayes (NB) and K-Nearest Neighbor (KNN) classifier treatments built from different feature selection and machine learning settings and trained and tested against textual corpora of 2300 Gang-Of-Four (GOF) design pattern documents. Analysis of the experiment's…
Descriptors: Prediction, Dictionaries, Geometric Concepts, Mathematics
