| Project/Area Number |
20700257
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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 |
Statistical science
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| Research Institution | Rikkyo University (2008, 2010)
Nagasaki University (2009) |
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Principal Investigator |
NAKAYAMA Atsuho Rikkyo University, 社会科学研究科, 准教授 (60434198)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | Conditional association / Dyadic relationships / Marginal association / Multidimensional scaling / Multi-way relationships / Triadic distance / Visualization / Dadic relationships |
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| Research Abstract |
The purpose of present study is to examine whether one-mode multi-way multidimensional scaling (MDS) is necessary or not. In the previous studies, it is concluded that the results of a one-mode three-way MDS are similar to that of a one-mode two-way MDS. The reason for such similarity is that strong influences of dyadic relationships on triadic relationships would be included in one-mode three-way proximity data. If, the results of a one-mode three-way MDS are similar to that of a one-mode two-way MDS, dyadic relationships strongly influences triadic relationships. On the other hand, if the results of a one-mode three-way MDS are not similar to that of a one-mode two-way MDS, dyadic relationships weakly influences triadic relationships. Under weak influence of the dyadic relationships, the triadic and dyadic relationships would be separately analyzed. So, the present study compares the results obtained from marginal association with that of conditional association. It examined whether one-mode multi-way multidimensional scaling model is necessary or not. Finally, the proposed model was applied to the consumer behavior data.
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