| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Outline of Final Research Achievements |
Factor analysis (FA) is a statistical procedure for finding the factors that can cause the phenomena observed as data. For example, when the phenomena observed are scores of tests, their factors are abilities. Sparse FA refers to the modified FA which purposes to computationally identify the pairs of phenomena to the related factors. The existing approach for this purpose is to dissociate the phenomena from the factors with their magnitudes of the relationships to the phenomena below a threshold. A difficulty in this approach is in the necessity of selecting the threshold among infinite continuous real values. For dealing with this difficulty, a sparse FA procedure was developed whose solution can be obtained once the number of unrelated pairs of phenomena to factors. As that number can be selected among restricted discrete integers, the best solution can be chosen among the ones for all pairs.
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