| Project/Area Number |
10680315
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | NIIGATA UNIVERSITY |
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Principal Investigator |
SHIBAYAMA Tadashi NIIGATA UNIVERSITY DEPARTMENT OF EDUCATION AND HUMAN SCIENCES, 教育人間科学部, 助教授 (70240752)
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| Project Period (FY) |
1998 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥1,900,000 (Direct Cost: ¥1,900,000)
Fiscal Year 1999: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1998: ¥1,400,000 (Direct Cost: ¥1,400,000)
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| Keywords | INCOMPLETE DATA / MISSING VALUES / COMPOSITE SCORES / INDIVIDUAL DIFFERENCES / MANOVA / ENTRANCE EXAMINATION / CANANICAL ANALYSIS / 大学入試 / 選択科目 / 入試 / 主成分分析 / 難易度調整 |
|---|
| Research Abstract |
Here I present a linear composite method for incomplete data. The method is based on the least squares criterion and can obtain solutions analytically in such a way that is individual differences are maximized allowing for differences between means of variables. If a data matrix is complete, the method is equivalent to ordinary PCA. A simulation study is given in order to demonstrate the efficacy of the method.
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