ÐÓ°ÉÂÛ̳

Professor Fiona Steele

Professor Fiona Steele

Professor

Department of Statistics

Room No
COL.7.12
Office Hours
Bookable via Student Hub
Connect with me

Languages
English
Key Expertise
Statistical methods for social research

About me

Fiona Steele’s research interests are in developments of statistical methods that are motivated by social science problems. Her areas of expertise include longitudinal data analysis, multilevel modelling, event history analysis and dyadic data analysis. She has worked on a range of applications in demography (e.g. residential mobility, union formation and dissolution, and contraceptive use dynamics), education (the consequences of parental divorce for children’s educational outcomes, the impact of school resources on pupil attainment), family psychology (reciprocal influences between parents and children, sibling interactions), and health (child health, mental health and employment transitions, determinants and consequences of stress among nurses).

She has directed several research grants funded by the Economic and Social Research Council (ESRC), including the LEMMA node of the National Centre for Research Methods, a project on the interrelationships between housing transitions and fertility in Britain and Australia, and a project on (co-funded by EPSRC). As part of the LEMMA project, she led the development of a popular which currently has over 20,000 registered users worldwide. 

Fiona first joined in ÐÓ°ÉÂÛ̳ in 1996 as Lecturer in Statistics and Research Methodology.  She then worked at the Institute of Education, (now part of UCL) 2001-2005, followed by the University of Bristol 2005-2013 where she was Professor of Social Statistics and Director of the Centre for Multilevel Modelling. She returned to ÐÓ°ÉÂÛ̳ in 2013.

Fiona was awarded the Royal Statistical Society (RSS) Guy Medal in Bronze in 2008 and elected a  in 2009.  She was appointed an  (OBE) in 2011 and a CBE in 2022  for services to social sciences. In 2024 she was awarded the RSS Howard Medal for her contributions to social statistics.

 

 

My research

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