Demand characteristics revisited: Exploration of data generation process in social psychology
| Project/Area Number |
18H01081
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 10010:Social psychology-related
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| Research Institution | Osaka University |
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Principal Investigator |
Miura Asako 大阪大学, 大学院人間科学研究科, 教授 (30273569)
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| Co-Investigator(Kenkyū-buntansha) |
小林 哲郎 神戸大学, 法学研究科, 研究員 (60455194)
清水 裕士 関西学院大学, 社会学部, 教授 (60621604)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2021: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2020: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2019: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2018: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
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| Keywords | 要求特性 / データ生成過程 / Web調査 / 統計的モデリング / 国際比較 |
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| Outline of Final Research Achievements |
The purpose of this study was to elucidate, from a multilayered micro-macro perspective, the mechanisms of the impact brought about by measurement errors in the generation process of social psychology data. The aim was to establish a methodology for correcting data in a valid manner through statistical modeling. We approached this 'old' theme with a 'new' perspective that responds to the dramatically changing data collection environment in contemporary social psychology research. This was achieved through statistical modeling - understanding the mechanism of data generation and expressing it through probability distributions - which is a method for predicting data. We conducted research on three themes: demand characteristics, latent attitude measurement, and time-series comparison using different samples, and achieved results in each area.
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| Academic Significance and Societal Importance of the Research Achievements |
Webを活用した研究の一般化により，社会心理学研究に参加する人々の属性や協力形態は多様化の一途をたどっており，従前より豊かなデータを入手できる期待が増す一方で，研究状況と協力者の行動を研究者が把握・統制することがきわめて困難となっている．そのために，協力者に特定の反応を要求する圧力をもたらす状況的要因と，それへの協力者の反応のいずれもが，これまでとは異なり，かつ多様化している可能性がある．本研究の成果は，3つの異なるテーマについて，それぞれ異なるアプローチで，こうした変化の特徴を精査するものであり，様々なデータに表象される状況的要因を，そのメカニズムを利用して補正する場面に応用可能である．
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Report
(5 results)
Research Products
(2 results)
