A systematic review identified 21 publications applying intersectional MAIHDA analysis, primarily in the health sciences¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Prior intersectional MAIHDA applications examined health outcomes including chronic obstructive pulmonary disease, body mass index, eating-related pathology, and depression. → Keller 2023

Evidence¶

Keller 2023¶

Keller, L., Lüdtke, O., Preckel, F., & Brunner, M. (2023). Educational Inequalities at the Intersection of Multiple Social Categories: An Introduction and Systematic Review of the Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) Approach. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09733-5

q2 · i? · review · r2

The review reports, citing the named studies, that intersectional MAIHDA has been applied to health inequalities including chronic obstructive pulmonary disease, body mass index, eating-related pathology, and depression (Table S1).

"The review showed that intersectional MAIHDA has been successfully applied to examine inequalities in various health outcomes, such as chronic obstructive pulmonary disease (Axelsson Fisk et al., 2018), body mass index"

Discussion¶

Related Claims¶

• MAIHDA is more scalable and parsimonious than the traditional regression approach with full interaction terms — related
• Precision-weighted shrinkage in MAIHDA yields reliable conservative estimates for small strata and helps solve the multiple-testing problem — related
• The variance partition coefficient from the simple intersectional model quantifies how useful intersectional strata are for predicting educational outcomes — related
• In the PISA 2018 German illustration, students were assigned to 40 intersectional strata with sample sizes ranging from 3 to 512 — related