Estimating domain score using bayesian method and bayesian modal viewed from many domain item samples
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Abstract
The purpose of this research was to compare two methods of domain scores estimation namely Bayesian method and Bayesian Modal method were derived from many sample items taken from the domain. The research was a comparative quantitative studies of the junior high school students in Jambi. The data were analyzed using variances difference test domain scores between the two populations. The results were as follow: 1) the Bayesian was the most accurate method for domain scores estimation, 2) the more samples that were taken from the domain items, the more accurate the domain scores would be obtained. The results of this study strongly suggest that in order to determine the level of mastery for a specific material, students do not need to work on all the items but only some of them are taken from the population of items that contain this material
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