Multilevel Models of Intersectional Inequities-Introducing MAIHDA and Reimagining Multilevel Methods

Intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) is a new quantitative method for estimating inequalities in an intersectional framework. MAIHDA has many practical, methodological, and theory-oriented advantages over conventional approaches, such as single-level regression models with interaction terms. Proposed first in 2015 in social epidemiology, MAIHDA was soon hailed as the “new gold standard for investigating health disparities.” Today, it is being rapidly adopted across the health and social sciences.

At its heart, MAIHDA is a reimagining of multilevel (hierarchical) models for a new purpose: quantitative intersectional analysis. In this session, Professor Clare R. Evans introduces intersectional MAIHDA in an accessible way for scholars with varying backgrounds and familiarity with intersectionality and multilevel models. We explore examples to showcase MAIHDA’s potential, and discuss key practical issues to help get you started in thinking about applications in your own work.

• #education
• #kings_college_london
• #mental_health
• #intersectional
• #research_method
• #quantitative
• #methodology