Applications of the MAIHDA approach for quantitative intersectional analysis

About the seminar

Reconciling the needs of intersectionality with quantitative methods poses challenges. Traditional approaches like cross-tabulations and regression models have important limitations. Recent work advocates for intersectional multi-level models, often referred to as the MAIHDA approach (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy), to address these issues. MAIHDA simplifies the problem of specifying numerous interactions, assesses the level at which variance occurs, and thus more generally allows for the analysis of identities in relation to wider structures of inequalities. This presentation focuses on the application of the MAIHDA approach, along with new methodological work that considers the effects of the granularity of the intersectional strata used in the MAIHDA approach. This new work extends the original analysis and provides insights into the complexities of analysing socio-economic outcomes both intersectionally and in context.