"My substantive research harnesses the power of representative sampling and careful questionnaire design to address important societal questions relating to how populations and groups think, feel, and behave."
- Professor Patrick Sturgis shares what is at the core of his research as part of our 30th Anniversary celebrations. Read the full close-up with Methodology faculty.
Patrick Sturgis is Professor of Quantitative Social Science at the Department of Methodology, LSE.
Patrick’s research focuses on survey and statistical methods and their application to understanding social and political behaviour. He was Director of the ESRC National Centre for Research Methods (NCRM) 2009 to 2019 and President of the European Survey Research Association (ESRA) from 2011 to 2015. He chaired the Methodological Advisory Committee of the UK Household Longitudinal Survey (2012-2016), and is Chair of the Methodological Advisory Committee of the European Social Survey. He chaired the British Polling Council/Market Research Society Inquiry into the failure of the 2015 UK election polls and served as Specialist Advisor to the House of Lords Select Committee on Political Polling and Digital Media. He is an editorial board member of Public Opinion Quarterly, Survey Research Methods, and International Journal of Social Research Methods.
Patrick received his PhD in social psychology at the LSE. He is a Fellow of the British Academy, a Fellow of the Academy of Social Sciences, and an Honorary Life Fellow of the Market Research Society
Patrick's CV is available to view.
His substantive research interests include public opinion dynamics, political behaviour, how neighbourhood contexts influence individual attitudes and group norms, intergenerational social mobility and how this relates to geographical location, and public attitudes to science and technology. Methodologically, his research focuses on all aspects of survey methodology and political polling but with a particular emphasis on the psychology of measurement and how measurement error is related to non-observational error and on cross-national and longitudinal surveys.