Intersectionality in Quantitative Psychological Research: II. Methods and Techniques
Intersectionality in Quantitative Psychological Research: II. Methods and Techniques
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DOI：
10.1177/0361684316647953
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发表时间：
2016-09-01
影响因子：
4
通讯作者：
Hyde, Janet Shibley
中科院分区：
文献类型：
--
作者：
Else-Quest, Nicole M.;Hyde, Janet Shibley
交叉方法，考虑如何同时在多个社会类别的成员表征我们的经验，并与权力和特权，有深刻的根源，在女权主义心理学。虽然交叉方法非常适合于各种研究问题和主题，但迄今为止，它的应用主要是通过定性方法发现的;当使用定量方法时，使用方法的组成部分，但没有明确规定为交叉方法。基于我们以前的讨论和分析的理论和认识论的问题，结合交叉性和定量方法时，本文阐述了如何定量研究人员可能会将交叉的方法纳入他们的工作。我们所描述的技术经常用于定量方法，但它们很少用于交叉方法。技术包括构建社会类别（例如，性别和种族）作为人变量或刺激变量，使用组间设计来检查交叉路口的多个位置，分层随机抽样和有目的抽样，并检查测量如何证明跨组的概念等效性和测量不变性。我们还专注于数据分析方法，其中包括检查多个主要影响和相互作用，元分析中的主持人，多层次建模，适度调解和以人为本的方法。这些方法如果不包括关注不平等和权力关系的交叉解释和框架，是不够的。希望使用本文（以及相关回应文章）进行教学的教师可以在PWQ的网站http://pwq.sagepub.com/supplemental上获得在线幻灯片
Intersectional approaches, which consider how simultaneous membership in multiple social categories characterize our experiences and are linked to power and privilege, have deep roots in feminist psychology. While an intersectional approach is well suited to a variety of research questions and topics, its application to date has chiefly been found with qualitative methods; when quantitative methods are used, components of the approach are used but not clearly framed as intersectional. Building upon our previous discussion and analysis of the theoretical and epistemological issues that arise when combining intersectionality and quantitative methods, this article articulates how quantitative researchers might incorporate an intersectional approach into their work. The techniques we describe are frequently used within quantitative methods, but they are infrequently used within an intersectional approach. Techniques include framing social categories (e.g., gender and ethnicity) as person variables or as stimulus variables, using a between-groups design to examine multiple locations at an intersection, stratified random sampling and purposive sampling, and examining how measures demonstrate conceptual equivalence and measurement invariance across groups. We also focus on data-analytic methods, which include examination of multiple main effects and interactions, moderators in meta-analysis, multilevel modeling, moderated mediation, and person-centered methods. These methods are insufficient without also including intersectional interpretations and framing with attention to inequalities and power relations. Online slides for instructors who want to use this article (and the related response articles) for teaching are available on PWQ's website at http://pwq.sagepub.com/supplemental