| Project/Area Number |
20730440
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Educational psychology
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| Research Institution | National Institute for Educational Policy Research |
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Principal Investigator |
HAGIWARA Yasuhito National Institute for Educational Policy Research, 教育課程研究センター基礎研究部, 研究員 (30373187)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | マルチレベルモデル / 階層データの分析 / マルチレベモデル |
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| Research Abstract |
In this study, I analyzed the educational data set with the hierarchical structure of the sample. First, a data analysis of the test with the information of each item's opportunity-to-learn was conducted, using the model which took both the data structure and the information into account. The results suggested that the item difficulty differed according to the information in many items. Second, a data analysis on English test in elementary schools was conducted, assuming this hierarchy and the school-level variability of each item's difficulty. The results showed that the model mentioned above with predictors fitted the data better.
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