1 University of Massachusetts Medical School, Worcester, Massachusetts, USA.
2 Brown University, Providence, Rhode Island, USA.
Qual Health Res. 2018 Sep;28(11):1813-1824. doi: 10.1177/1049732318779050. Epub 2018 Jun 11.
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.
在美国,研究最少的健康差异人群之一是聋人社区——这是一个使用美国手语进行交流的社会语言学少数群体,至少有 50 万人。由于研究人员使用的方法对聋人手语使用者来说无法访问,因此该人群的研究缺乏。传统的定性方法是为了收集和分析参与者的口语而开发的。因此,必须从听觉数据模式转变为优先收集和分析视觉数据的模式。为了在与聋人手语使用者合作时有效地进行这种转变,有一些独特的语言和社会政治方面的考虑因素需要考虑。本文探讨了这些考虑因素,并概述了一种新的定性分析方法,我们认为,无论研究重点是什么人群,这种方法都有可能增强定性研究人员的工作。