人类受试者的非包容性语言问卷:解决种族,种族,异常规范和性别偏见的问题
Isabella Hernandez1, Velia Nuñez2, Lorena Reynaga2
1University of Southern California, Los Angeles, CA, USA.
BMC public health
|November 1, 2025
概括
研究人员必须在针对不同人群的问卷中使用包容性语言. 对245个数据收集表格的审查发现,36%包含有偏见的语言,强调需要文化意识的研究材料来确保数据完整性和公平性.
科学领域:
- 卫生公平研究 卫生公平研究
- 健康的社会决定因素
- 研究方法研究方法论.
背景情况:
- 包容性语言对于涉及不同人群的研究至关重要.
- 数据收集中的社会和文化偏见损害了参与者和数据完整性.
- 很少有指导方针可以帮助研究人员尽量减少材料中的偏见.
研究的目的:
- 在数据收集表格中评估语言的种族,种族,异常规范和性别偏见.
- 将环境影响儿童健康结果 (ECHO) 全方位队列研究 (EWC) 作为案例研究.
- 为包容性研究实践提供建议.
主要方法:
- 一个由5名审查员和一名第二名学生组成的多元小组评价了EWG研究中的245份数据收集表格.
- 偏见的项目被确定并编码成九个类别 (例如,种族偏见,异常规范假设).
- 一种系统的方法被用来评估语言的社会和文化偏见.
主要成果:
- 36% (88/245) 的表格包含有偏见的语言.
- 记录了137个偏见的情况,包括种族/种族偏见 (8),性别/性别/倾向偏见 (56) 和普遍假设偏见 (73).
- 73%具有偏差的表单是经过验证的措施,这表明即使在已建立的工具中也存在广泛的问题.
结论:
- 不良的健康结果不成比例地影响到边缘化群体.
- 文化和社会意识的研究材料对于健康平等至关重要.
- 审查发现广泛使用的数据收集工具存在重大偏差,需要修订和包括科学建议.
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