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非概率样本在少数族裔健康研究中的重要性:从跨性别和性别多样化心理健康研究中汲取的经验教训。

The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health.

作者信息

Turban Jack L, Almazan Anthony N, Reisner Sari L, Keuroghlian Alex S

机构信息

Division of Child & Adolescent Psychiatry, Stanford University School of Medicine, Stanford, California, USA.

Harvard Medical School, Boston, Massachusetts, USA.

出版信息

Transgend Health. 2023 Jul 28;8(4):302-306. doi: 10.1089/trgh.2021.0132. eCollection 2023 Aug.

DOI:10.1089/trgh.2021.0132
PMID:37525831
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10387152/
Abstract

Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations.

摘要

非概率抽样方法采用非随机的研究参与者选择方式,这可能会产生不能代表总体人群的研究样本。由于非概率样本研究的可推广性和外部有效性存在不确定性,它们常常被认为质量较差。实际上,非概率抽样具有一些优势,使得这种方法在少数群体健康研究中特别有价值。在这篇观点文章中,我们回顾了概率样本和非概率样本的优势与局限性,审视了三项用于研究跨性别者和性别多样化者心理健康的具有里程碑意义的调查研究。我们得出结论,这两种类型的研究都提供了关于少数群体所经历的心理健康不平等问题的重要且可付诸行动的数据。

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