Local Dependence Model in Latent Rank Theory

DOI Web Site 参考文献36件
  • Shojima Kojiro
    Research Division, The National Center for University Entrance Examinations

この論文をさがす

抄録

In test data analysis, it is often important to examine the inter-item dependency structure underlying the test data. However, this structure often varies according to the academic ability level of the examinees. In this paper, a latent rank theory (LRT) model incorporating a Bayesian network model is proposed. Although the conventional LRT model is formulated under the assumption of local independence among test items, the proposed LRT model supposes local dependence among test items. The proposed model can be used to efficiently analyze the data of math and science tests in which inter-item dependency relationships among items are not negligible.

収録刊行物

参考文献 (36)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ