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来源类型 | Publication |
2020 Compendium of Disability Data Collection Methods | |
Jason Markesich; Stacie Feldman; and William Rafferty | |
发表日期 | 2020-01-31 |
出版者 | Princeton, NJ: Mathematica |
出版年 | 2020 |
语种 | 英语 |
概述 | This Compendium of Disability Data Collection Methods is an easily accessible source of research on the methodological issues associated with collecting data from and about people with disabilities.", |
摘要 | Entities involved in survey data collection should (and sometimes by law must) consider the extent to which their methods create barriers to survey participation for people with disabilities. Yet few resources are available to address this problem. To fill this knowledge gap, the Rehabilitation Research and Training Center on Disability Demographics and Statistics (StatsRRTC) has created the Compendium of Disability Data Collection Methods, an easily accessible source of research on the methodological issues associated with collecting data from or about people with disabilities. The compendium, and indexed, reference list contains 220 references on the following subjects: disability/impairment type (for example, developmental, cognitive and intellectual impairments, physical disabilities); data collection modes and adaptive technologies; proxies; questionnaire design and measurement issues; inclusive strategies and participatory research; and special populations such as youth with disabilities and veterans’ populations. |
URL | https://www.mathematica.org/our-publications-and-findings/publications/2020-compendium-of-disability-data-collection-methods |
来源智库 | Mathematica Policy Research (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/489817 |
推荐引用方式 GB/T 7714 | Jason Markesich,Stacie Feldman,and William Rafferty. 2020 Compendium of Disability Data Collection Methods. 2020. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
StatsRRTC_Compendium(1460KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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