| Project/Area Number |
18K12950
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 08010:Sociology-related
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| Research Institution | National Institute of Population and Social Security Research (2020-2022)
The University of Tokyo (2019)
Waseda University (2018) |
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Principal Investigator |
Sakakibara Kenjiro 国立社会保障・人口問題研究所, 社会保障応用分析研究部, 室長 (90803370)
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| Project Period (FY) |
2018-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2019: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000)
Fiscal Year 2018: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
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| Keywords | 障害統計 / 社会的排除 / 障害種別 / 職業威信 / 質問紙調査 / IPUMS-International / 障害社会学 / 社会階層 / 社会的距離 / 職業威信スコア / 社会的距離尺度 / 損傷のヒエラルヒー / 就労機会 / 障害の社会学 |
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| Outline of Final Research Achievements |
Based on the analysis of associations between various disability types and social disadvantages, the following papers were published/presented. (1) A postal survey explored the extent to which randomly sampled respondents from the Southern Kanto District of Japan assessed social disadvantages accompanying various disability types. The results were accepted as an English article and presented at international and domestic academic conferences. (2) Using the microdata of the Irish census 2011 in a secondary analysis, correlations between limitations in different bodily functions and employment status were estimated through logistic regression. The results were published as an English article and presented at international and domestic academic conferences.
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| Academic Significance and Societal Importance of the Research Achievements |
障害者の社会的排除がどの程度存在するかを統計的に示すことは、障害者施策の基礎資料ともなる重要な課題であり、国連障害者権利条約でも発展が求められている。しかし、障害者内部の多様性、例えば障害種別まで考慮した精度の高い分析を行おうとすると、各種別に該当する障害者数が少なく、分析手法を開拓する必要がある。本研究では、こうした学術的・社会的課題を、(1)職業威信を踏まえた主観的方法、(2)大規模調査データの二次利用に基づく客観的方法を採用することによって解決し、社会統計の一環としての障害統計の深化に貢献した。
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