How researchers use statistical analyses shapes their research toward or away from an anti-racist agenda. In this article, we demonstrate how developmental scientists can use the QuantCrit framework to critically examine the process of conducting quantitative analyses. In particular, we focus on mixture modeling to clearly demonstrate how the integration of QuantCrit can be achieved within a statistical technique. We first summarize the tenets of QuantCrit and how it has turned the lens of critical race theory onto quantitative methodology. Second, we provide a summary of the key concepts of mixture modeling. The main section of the article is organized according to three “moments” that occur in quantitative research: (1) development of the research question(s) and identification of analysis variables; (2) decision-making about the role of race in planned analyses; and (3) interpretation of the results through a theoretical framework. We describe each moment, illustrate how researchers can use QuantCrit principles within it, and offer as examples empirical articles from adolescent research where these strategies have been implemented during mixture modeling. It is our hope that readers will identify moments in their own analyses in which these (and other) principles could be applied.

研究人员如何使用统计分析来塑造他们的研究朝着或远离反种族主义议程。在本文中，我们展示了发展科学家如何使用 QuantCrit 框架来批判性地检查进行定量分析的过程。特别是，我们专注于混合建模，以清楚地展示如何在统计技术中实现 QuantCrit 的集成。我们首先总结了 QuantCrit 的原则，以及它如何将批判种族理论的视角转向定量方法论。其次，我们总结了混合建模的关键概念。文章的主要部分根据定量研究中出现的三个“时刻”进行组织：（1）研究问题的发展和分析变量的识别；(2) 关于种族在计划分析中的作用的决策；(3) 通过理论框架解释结果。我们描述了每个时刻，说明研究人员如何在其中使用 QuantCrit 原则，并提供青少年研究中的实证文章作为示例，其中在混合建模期间实施了这些策略。我们希望读者能够在他们自己的分析中找出可以应用这些（和其他）原则的时刻。