Skills Development Workshop
Day 1: Thursday, 12 September
-An introduction to Multilevel Modelling for Intersectionality Research: The MAIHDA approach
Session convener: Andrew Bell, University of Sheffield
Multilevel models allow researchers to use data that has a clustered structure such as pupils nested within schools, or individuals within neighbourhoods. Recently, a version of multilevel models has been developed for the study of intersectional inequalities in individual outcomes. With the Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA), individuals are nested within their intersectional strata that is their combination of various sociodemographic identity categories for instance gender, age, ethnicity and social class. The method has great potential for uncovering and understanding intersectional inequalities, where a combination of social identities combine in complex ways to produce societal (dis)advantage.This session will provide a brief introduction to the conceptual underpinnings of the MAIHDA approach, as well as practical guidance on how to use it, some key statistics that can be produced from that approach, and give advice on how to visualize the results that are produced. Attendees will be provided with further resources to allow them to practice using the intersectional MAIHDA approach going forward.The session will be based on the work currently being undertaken as part of the contributors' ESRC grant
