Intersectional decomposition analysis with differential exposure, effects, and construct
Intersectional decomposition analysis with differential exposure, effects, and construct
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DOI：
10.1016/j.socscimed.2019.01.033
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发表时间：
2019-04-01
影响因子：
5.4
通讯作者：
VanderWeele, Tyler J.
中科院分区：
文献类型：
--
作者：
Jackson, John W.;VanderWeele, Tyler J.
近年来，从交互作用研究、预测性歧视研究到调解研究，出现了一系列将交叉视角引入健康差距定量研究的建议。Bauer和Scheim在一系列配套文章中，通过开发感知歧视的新归因盲目测量方法，并使用VanderWeele的3向分解来量化其通过不同暴露和不同影响(有时称为不同脆弱性或敏感性)对差异的贡献，扩展了这些建议。在这篇评论中，在概述了具有社会特征的因果推理解释之后，我们对社会科学文献中的新旧分解方法进行了广泛的概述，并比较了它们在研究相交不平等方面的优缺点。然后，我们研究不同形式的差异效应如何在这些分解中表现出来，并讨论它们的效用，以便为减少差异的干预措施提供信息。最后，我们讨论了社会科学研究中的张力，当突出的解释变量代表只为某些边缘人群定义或存在的概念，并且可能不整齐地适合于分解方法框架。通过这些讨论，我们的目标是为对使用分解方法和其他方法促进跨部门公平感兴趣的应用研究人员提供更大的概念清晰度。
In recent years a wide array of proposals for bringing intersectional perspectives into quantitative studies of health disparities have appeared, from studies of interaction, predictive discrimination, to mediation. Bauer and Scheim, in a companion set of articles, extend these proposals by developing new attribution-blind measures of perceived discrimination and using VanderWeele's 3-way decomposition to quantify its contribution to disparities through differential exposure and differential effects (sometimes called differential vulnerability or susceptibility). In this commentary, after providing an overview of causal inference interpretations with social characteristics, we provide a broad overview of old and new decomposition methods in the social sciences literature and contrast their strengths and weaknesses for studying intersectional inequalities. We then examine how different forms of differential effects can be expressed within these decompositions and discuss their utility for the purpose of informing interventions for reducing disparities. Last, we discuss the tension in social sciences research when prominent explanatory variables represent constructs that are only defined or exist for certain marginalized populations and may not neatly fit within the decomposition methods framework. Through these discussions, we aim to provide greater conceptual clarity for applied researchers who are interested in using decomposition methods and other approaches to advance intersectional equity.