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- Shojima Kojiro
- Research Division, The National Center for University Entrance Examinations
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説明
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
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- 応用統計学
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応用統計学 40 (3), 141-156, 2011
応用統計学会
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詳細情報 詳細情報について
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- CRID
- 1390001204442495232
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- NII論文ID
- 130004552536
- 10030153072
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- NII書誌ID
- AN00330942
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- ISSN
- 18838081
- 02850370
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- NDL書誌ID
- 023458068
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可