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Cui, Zhongmin – Educational Measurement: Issues and Practice, 2021
Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…
Descriptors: Artificial Intelligence, Man Machine Systems, Data, Bayesian Statistics
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Mehrens, William A. – Educational Measurement: Issues and Practice, 1991
Cohen and Hyman's response contains several misunderstandings of the original article by Mehrens and Kaminski. One frequently wishes to make inferences to a domain from a test, but teaching a specific performance and testing for that performance does not allow for a domain inference. (SLD)
Descriptors: Cheating, Criterion Referenced Tests, Educational Assessment, Inferences
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Jaeger, Richard M. – Educational Measurement: Issues and Practice, 1991
Issues concerning the selection of judges for standard setting are discussed. Determining the consistency of judges' recommendations, or their congruity with other expert recommendations, would help in selection. Enough judges must be chosen to allow estimation of recommendations by an entire population of judges. (SLD)
Descriptors: Cutting Scores, Evaluation Methods, Evaluators, Examiners