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Regression modelQuantitative intersectional analysis

MAIHDA

MAIHDA — Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy — is a quantitative method for studying intersectional inequalities. Introduced for intersectionality by Clare Evans and S. V. Subramanian in 2018, building on Juan Merlo's discriminatory-accuracy framework, it treats the many strata formed by crossing social categories (for example gender × race/ethnicity × education) as level-2 units in a multilevel model, then partitions outcome variation between and within those strata to assess how much intersectional position predicts the outcome.

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Fuentes

  1. Evans, C. R., Williams, D. R., Onnela, J.-P., & Subramanian, S. V. (2018). A multilevel approach to modeling health inequalities at the intersection of multiple social identities. Social Science & Medicine, 203, 64–73. DOI: 10.1016/j.socscimed.2017.11.011
  2. Merlo, J. (2018). Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) within an intersectional framework. Social Science & Medicine, 203, 74–80. DOI: 10.1016/j.socscimed.2017.12.026
  3. Evans, C. R., Leckie, G., Subramanian, S. V., Bell, A., & Merlo, J. (2024). A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). SSM - Population Health, 26, 101664. DOI: 10.1016/j.ssmph.2024.101664

Cómo citar esta página

ScholarGate. (2026, June 22). Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). ScholarGate. https://scholargate.app/es/gender-studies/maihda-intersectional-analysis

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ScholarGateMAIHDA (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)). Recuperado el 2026-06-24 de https://scholargate.app/es/gender-studies/maihda-intersectional-analysis · Conjunto de datos: https://doi.org/10.5281/zenodo.20539026