1 resultado para interpretative flexibility
em Cornell: DigitalCommons@ILR
Filtro por publicador
- Aberdeen University (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- Aquatic Commons (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (8)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (12)
- Aston University Research Archive (26)
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- Biblioteca Digital da Câmara dos Deputados (2)
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- Biblioteca Digital de la Universidad Católica Argentina (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (27)
- Brock University, Canada (1)
- Cambridge University Engineering Department Publications Database (20)
- CentAUR: Central Archive University of Reading - UK (16)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (8)
- Cochin University of Science & Technology (CUSAT), India (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (8)
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- Instituto Politécnico do Porto, Portugal (2)
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- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (10)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (25)
- Queensland University of Technology - ePrints Archive (429)
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- Research Open Access Repository of the University of East London. (4)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (4)
- Universitat de Girona, Spain (1)
- Université de Montréal, Canada (4)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (14)
- University of Queensland eSpace - Australia (5)
- WestminsterResearch - UK (1)
Resumo:
The National Health Interview Survey - Disability supplement (NHIS-D) provides information that can be used to understand myriad topics related to health and disability. The survey provides comprehensive information on multiple disability conceptualizations that can be identified using information about health conditions (both physical and mental), activity limitations, and service receipt (e.g. SSI, SSDI, Vocational Rehabilitation). This provides flexibility for researchers in defining populations of interest. This paper provides a description of the data available in the NHIS-D and information on how the data can be used to better understand the lives of people with disabilities.