A statistical method to detect improper examinees in a questionnaire to improve its quality
Project/Area Number |
16K16013
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Statistical science
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Research Institution | University of Tsukuba |
Principal Investigator |
Ozaki Koken 筑波大学, ビジネスサイエンス系, 准教授 (50574612)
|
Project Period (FY) |
2016-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
Keywords | 社会調査 / 統計科学 / 社会調査法 / 矛盾回答 / 心理学調査 / 指示項目 / 統計モデル / 質問紙調査法 |
Outline of Final Research Achievements |
The purpose of this research was to develope a new method to detect improper examinees in a questionnaire to improve its quality by using neither inconsistent answers nor instruction items. Two outcomes of this research were as follows. 1. Data collection to develope a method has been accomplished. 2. A paper that compared a new method to decrease questionnaire items to decrease improper responses with a old method has been published.
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Report
(3 results)
Research Products
(2 results)