Wake Forest University, PO Box 7808, Winston-Salem, NC, 27103, USA.
Soc Sci Med. 2022 Jan;292:114609. doi: 10.1016/j.socscimed.2021.114609. Epub 2021 Nov 27.
The Everyday Discrimination Scale forms the backbone of hundreds of studies documenting the health effects of perceived discrimination. Researchers regularly use the scale to examine specific types of discrimination (e.g., racial, ethnic, gender- and age-based) as well as discrimination more generally among the "general population." To date, no study has analyzed the frameworks respondents use to interpret and answer the questions that comprise the scale. As such, what exactly researchers are measuring when they ask about "everyday discrimination" - and how this may vary within and across social groups - remains unknown.
This study analyzes data from cognitive interviews to assess patterns of interpretation and response to the EDS to assess whether the meaning of the resulting data may vary across diverse social groups.
Researchers conducted structured cognitive interviews with a diverse sample of thirty-eight adults in the Southeastern United States (US). Interview transcripts were qualitatively analyzed using MAXQDA, in a process of reiterative coding.
Results show that respondents interpret the survey questions in markedly different ways, with some interpreting the scale as asking about negative interactions; others viewing it through a lens of social inequalities; and still others through a lens specifically of racism. Racial/ethnic and gender statuses may structure question interpretation.
Pronounced and patterned variation in respondents' interpretation raises questions about its validity. Findings underscore the importance of schemas for assessing the meaning of data generated by the EDS and for measuring the health effects of perceived discrimination and mistreatment.
日常歧视量表是数百项研究的核心,这些研究记录了感知到的歧视对健康的影响。研究人员经常使用该量表来检查特定类型的歧视(例如,种族、族裔、性别和年龄歧视)以及更普遍的“一般人群”中的歧视。迄今为止,尚无研究分析受访者用来解释和回答量表中问题的框架。因此,当研究人员询问“日常歧视”时,他们究竟在测量什么——以及这种测量在不同社会群体内部和之间可能如何变化——仍然未知。
本研究通过认知访谈分析数据,评估对 EDS 的解释和反应模式,以评估由此产生的数据的含义是否可能因不同的社会群体而异。
研究人员在美国东南部对 38 名不同成年人进行了结构化认知访谈。使用 MAXQDA 对访谈记录进行定性分析,采用迭代编码的过程。
结果表明,受访者以截然不同的方式解释调查问题,一些人将该量表理解为询问负面互动;另一些人则从社会不平等的角度看待它;还有一些人则专门从种族主义的角度来看待它。种族/民族和性别地位可能会影响问题的解释。
受访者解释的明显且有模式的差异引发了对其有效性的质疑。研究结果强调了图式对于评估 EDS 生成的数据的意义以及衡量感知到的歧视和虐待对健康的影响的重要性。