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.