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    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/110632


    题名: A Statistical Analysis of Testlets - A Parametric Approach
    作者: 宋傳欽
    Shih, Yan-Teng
    Jinn, Jann-Huei
    贡献者: 應數系
    关键词: Classical test theory, Difficulty index, Discrimination index, High-scoring group, Item, Lowscoring group, Testlet
    日期: 2015-06
    上传时间: 2017-06-29 11:09:16 (UTC+8)
    摘要: Based on the basic concepts in classical test theory (CTT), Song et al. (2014) proposed a parametric method to develop the computational formulas of difficulty index and discrimination index for independent test items. In this article, modeling testlets with appropriate probability structures, we generalize their results to items in testlets. This parametric approach considers the dependence between the items within each testlet. It would also take the effect of performance of middle-scoring group on these two index values into account. In addition, we provide an efficient computing algorithm for obtaining both of them by using the probability generating function technique. Real data taken from the English Test Items of the Second Basic Competence Test for Junior High School Students in 2007 in Taiwan are used for empirical study, and the results are compared with those obtained by the traditional nonparametric method. Discrepancies between these two methods are also discussed in this study.
    關聯: American Review of Mathematics and Statistics, 3(1), 34-51
    数据类型: article
    DOI 連結: http://dx.doi.org/10.15640/arms.v3n1a5
    DOI: 10.15640/arms.v3n1a5
    显示于类别:[應用數學系] 期刊論文

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