Research on strategies for survey design with planned missing data
| Project/Area Number |
22650059
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
MAEDA Tadahiko 統計数理研究所, データ科学研究系, 准教授 (10247257)
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| Co-Investigator(Kenkyū-buntansha) |
OZAKI Koken 統計数理研究所, データ科学研究系, 助教 (50574612)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,460,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥660,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥600,000 (Direct Cost: ¥600,000)
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| Keywords | 社会調査 / 測定デザイン / 調査票設計 / 不完全データ / 効用関数 / 因子分析 / 分冊型調査票 / 分冊方式 / ウェブ調査 / 欠測 / 一般的信頼 / 多母集団解析 / テスト理論 |
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| Research Abstract |
Strategies for split questionnaire survey design, where some portion of the items are intentionally set to missing in specific forms, thus enabling the estimation of correlations among more combinations of questionnaire items, were investigated in this study. We assumed two settings on group of items, the one is the case of general items and the other is the case of factor-analytic items, and proposed a evaluation of design strategies for these cases, by considering a utility function or precision of statistical estimation.
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Report
(4 results)
Research Products
(12 results)
