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• W2808202110 abstract "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." @default.
• W2808202110 created "2018-06-21" @default.
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• W2808202110 date "2018-06-11" @default.
• W2808202110 modified "2023-09-30" @default.
• W2808202110 title "Deaf Qualitative Health Research: Leveraging Technology to Conduct Linguistically and Sociopolitically Appropriate Methods of Inquiry" @default.
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• W2808202110 doi "https://doi.org/10.1177/1049732318779050" @default.
• W2808202110 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6449691" @default.
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