Deaf Qualitative Health Research: Leveraging Technology to Conduct Linguistically and Sociopolitically Appropriate Methods of Inquiry
Authors
Anderson, Melissa LRiker, Timothy
Gagne, Kurt
Hakulin, Stephanie
Higgins, Todd
Meehan, Jonah
Stout, Elizabeth
Pici-D’Ottavio, Emma
Cappetta, Kelsey
Wolf Craig, Kelly S.
Document Type
Journal ArticlePublication Date
2018-09-01Keywords
USAcultural competence
deaf
health disparities
participatory action research
qualitative research
social equality
Communication
Communication Sciences and Disorders
Community-Based Research
Health Information Technology
Health Services Administration
Health Services Research
Otorhinolaryngologic Diseases
Psychiatry
Psychiatry and Psychology
Quantitative, Qualitative, Comparative, and Historical Methodologies
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Show full item recordAbstract
One of the most understudied health disparity populations in the United States is the Deaf community-a sociolinguistic minority group of at least 500,000 individuals who communicate using American Sign Language. Research within this population is lacking, in part, due to researchers' use of methodologies that are inaccessible to Deaf sign language users. Traditional qualitative methods were developed to collect and analyze participants' spoken language. There is, therefore, a paradigm shift that must occur to move from an auditory data schema to one that prioritizes the collection and analysis of visual data. To effectively navigate this shift when working with Deaf sign language users, there are unique linguistic and sociopolitical considerations that should be taken into account. The current article explores these considerations and outlines an emerging method of conducting qualitative analysis that, we argue, has the potential to enhance qualitative researchers' work regardless of the population of focus.Source
Qual Health Res. 2018 Sep;28(11):1813-1824. doi: 10.1177/1049732318779050. Epub 2018 Jun 11. Link to article on publisher's site
DOI
10.1177/1049732318779050Permanent Link to this Item
http://hdl.handle.net/20.500.14038/46349PubMed ID
29890891Related Resources
ae974a485f413a2113503eed53cd6c53
10.1177/1049732318779050
Scopus Count
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