关于跨性别健康差异研究中抽样的思考。
Considerations on Sampling in Transgender Health Disparities Research.
机构信息
Department of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Center for LGBT Health Research, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
出版信息
LGBT Health. 2019 Aug/Sep;6(6):267-270. doi: 10.1089/lgbt.2019.0069. Epub 2019 Jul 11.
Abstract
Collection of gender identity data in national probability-based surveys began in 2014, an important first step toward the inclusion of gender identity measurements in public health surveillance. However, the findings about health disparities from probability-based samples do not align with those from nonprobability samples traditionally used to study transgender populations. These contradictions have yet to be understood fully. In this article, we suggest that the truth about disparities lies somewhere between nonprobability and probability samples. We discuss why generalizability from studies using probability sampling may remain limited for transgender populations and describe potential improvements in sampling methodology for transgender populations.
摘要
2014 年开始在全国概率性调查中收集性别认同数据，这是将性别认同测量纳入公共卫生监测的重要第一步。然而，从概率样本中得出的关于健康差异的发现与传统上用于研究跨性别群体的非概率样本的发现并不一致。这些矛盾尚未得到充分理解。在本文中，我们认为差异的真相介于非概率和概率样本之间。我们讨论了为什么使用概率抽样进行的研究的普遍性可能仍然局限于跨性别群体，并描述了跨性别群体抽样方法的潜在改进。
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