Intersectionality in Quantitative Social Research: Methods, Limits, and Best Practices

Nantale Hadijah

Humanities Education Kampala International University Uganda

Email: nantalehadijah@kiu.ac.ug

                                                                                               ABSTRACT
Intersectionality has become a critical framework in social science for understanding how multiple social identities and structures of power interact to shape experiences of inequality. While the concept originated in critical race theory and feminist scholarship, its integration into quantitative social research remains relatively recent and methodologically complex. This paper examines the conceptual foundations, methodological approaches, challenges, and best practices associated with applying intersectionality in quantitative analysis. It highlights the importance of theory-driven model specification, emphasizing that quantitative intersectional research must be grounded in clear conceptual frameworks that guide the selection of social categories, measurement strategies, and analytical methods. The paper reviews key quantitative techniques used to capture intersectional dynamics, including interaction terms, multilevel and cross-classified models, and multivariate or latent variable approaches.
It also discusses critical methodological concerns such as measurement equivalence, sparse data problems, statistical power, and the interpretability of complex models. Furthermore, the study explores ethical considerations related to privacy, consent, and responsible interpretation of intersectional findings, particularly when such findings inform policy decisions. Empirical examples from health disparities, educational outcomes, and labor market trajectories demonstrate how intersectional approaches can reveal nuanced patterns of inequality that
single-axis analyses often overlook. The paper concludes by outlining best practices for robust quantitative intersectionality research, including transparent reporting, preregistration of analytical strategies, sensitivity analyses, and cross-context validation. By integrating theoretical rigor with methodological transparency, quantitative intersectional research can more effectively illuminate the mechanisms that generate and sustain
social inequalities and contribute to evidence-based policy and social justice initiatives.

Keywords: Intersectionality, Quantitative social research, Social inequality, multilevel modeling, Measurement
equivalence

CITE AS: Nantale Hadijah (2026). Intersectionality in Quantitative Social Research: Methods, Limits, and Best Practices. NEWPORT
INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION, 6(1): 61-70. https://doi.org/10.59298/NIJRE/2026/616170