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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/142015


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    題名: Estimation of Generalized DINA Model with Order Restrictions
    作者: 張育瑋
    Chang, Yu-Wei
    Hong, Chen-Yu;Tsai, Rung-Ching
    貢獻者: 統計系
    關鍵詞: Cognitive diagnostic model;G-DINA model;Order restrictions;Classification of attribute patterns
    日期: 2016-11
    上傳時間: 2022-09-21 11:45:02 (UTC+8)
    摘要: Cognitive diagnostic models provide valuable information on whether a student has mastered each of the attributes a test intends to evaluate. Despite its generality, the generalized DINA model allows for the possibility of lower correct rates for students who master more attributes than those who know less. This paper considers the use of order-constrained parameter space of the G-DINA model to avoid such a counter-intuitive phenomenon and proposes two algorithms, the upward and downward methods, for parameter estimation. Through simulation studies, we compare the accuracy in parameter estimation and in classification of attribute patterns obtained from the proposed two algorithms and the current approach when the restricted parameter space is true. Our results show that the upward method performs the best among the three, and therefore it is recommended for estimation, regardless of the distribution of respondents’ attribute patterns, types of test items, and the sample size of the data.
    關聯: Journal of Classification, 33, 460-484
    資料類型: article
    DOI 連結: https://doi.org/10.1007/s00357-016-9215-5
    DOI: 10.1007/s00357-016-9215-5
    顯示於類別:[統計學系] 期刊論文

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