Probabilistic model of knowledge assessment

Kempei Shiina, Shinichi Asakawa, Shigeki Sakata, Nobuko Takahashi, Tatsuro Makino

    研究成果: Article

    抄録

    A new latent trait model, which has the properties of both IRT (Item Response Theory) and Latent Class Model, is proposed. An important new feature of this model is that it introduces partial orders into 'latent classes' of Latent Class Model and this amounts to the replacement of the latent linear structure used in IRT with a latent partially ordered structure. Representation by partially ordered structure has several advantage over traditional representation models and an application to the test items of elementary statistics revealed the effectiveness of the model.

    元の言語English
    ページ(範囲)27-36
    ページ数10
    ジャーナルBulletin of Centre for Informatics, Waseda University
    13
    出版物ステータスPublished - 1991 7

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    Statistical Models
    Statistics

    ASJC Scopus subject areas

    • Engineering(all)

    これを引用

    Shiina, K., Asakawa, S., Sakata, S., Takahashi, N., & Makino, T. (1991). Probabilistic model of knowledge assessment. Bulletin of Centre for Informatics, Waseda University, 13, 27-36.

    Probabilistic model of knowledge assessment. / Shiina, Kempei; Asakawa, Shinichi; Sakata, Shigeki; Takahashi, Nobuko; Makino, Tatsuro.

    :: Bulletin of Centre for Informatics, Waseda University, 巻 13, 07.1991, p. 27-36.

    研究成果: Article

    Shiina, K, Asakawa, S, Sakata, S, Takahashi, N & Makino, T 1991, 'Probabilistic model of knowledge assessment', Bulletin of Centre for Informatics, Waseda University, 巻. 13, pp. 27-36.
    Shiina, Kempei ; Asakawa, Shinichi ; Sakata, Shigeki ; Takahashi, Nobuko ; Makino, Tatsuro. / Probabilistic model of knowledge assessment. :: Bulletin of Centre for Informatics, Waseda University. 1991 ; 巻 13. pp. 27-36.
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