Latent Class Analysis (LCA) is a powerful statistical method for uncovering hidden subgroups in populations, widely used across social and health sciences. This introductory seminar will provide a clear and accessible overview of what LCA is, why researchers use it, and how it can be applied in practice.

Using real-world examples from health research, the session will demonstrate how LCA helps to identify patterns in complex data and informs interventions tailored to different groups. No prior knowledge is assumed, making this a useful primer for anyone interested in learning more about LCA.

How to join this event

This is an online event that is free and open for all to attend.

Registration link will be available soon. 

Speaker Biography

Dr Rebecca Rhead is a Lecturer in Society and Mental Health at King’s College London and co-leads the Marginalised Communities programme at the ESRC Centre for Society and Mental Health. A quantitative researcher specialising in population mental health, her work uses large-scale longitudinal and survey data to examine social determinants of mental health and inequalities in access to care.

She is Co-Investigator on several major research projects, including the CARE-HSC project and the Population Mental Health Consortium, and teaches across MSc and BSc programmes at King’s. Her research focuses on using statistical methods to better understand mental health disparities and inform equitable policy and practice.