Quantitative methods for the study of intersectionality and health


Bio: Before moving to Sheffield, Andy was a lecturer at the University of Bristol, where he also completed his undergraduate degree (in Geography) and PhD (in Advanced Quantitative Methods). His current substantive research focuses on mental health from a life course perspective, but also spans a diverse range of other subject areas, including geography, political science, social epidemiology and economics. Methodologically, Andy’s interests are in the development and application of multilevel models, with work focusing on age-period-cohort analysis and fixed and random effects models.

Dan Holman, University of Sheffield

Clare Evans, University of Oregon

Intersectionality has become highly topical in health inequalities research. It expresses the idea that we are more than the sum of our characteristics; and people have multiple forms of advantage and disadvantage which combine to influence health in complex ways. This has become especially apparent during the pandemic; with deprivation; ethnicity; sex and age combining to strongly affecting outcomes. At the same time; there has been significant development of quantitative methods – in particular the use of multilevel models – for considering differences between intersections.This session will explore these methods and potential advances to them; for instance how they can be extended to incorporate geographical differences and temporal change. There will be short talks providing an introduction to these methods; including their challenges and recent extensions to them from researchers at the very forefront of their development. There will be significant scope for audience interaction including a panel discussion and Q&A session.