Professor Mark Tranmer joined the School of Social & Political Sciences, University of Glasgow, in July 2016 as Professor of Quantitative Social Science. Prior to this, from 1999 to 2016, he was based in Social Statistics in the School of Social Sciences at the University of Manchester, UK. He was awarded a PhD in Social Statistics from the University of Southampton, UK in 1999. He previously studied statistics in Sheffield, UK.
His methodological research focus began in multilevel modelling, including the development of an approach to combine individual and aggregate data to assess individual and area variations in social, political and health variables. Recently, he has been interested in developing multilevel approaches to include the social networks of individuals in a multilevel model framework. He has further extended these approaches to assess changes over time in these variations. These methodological developments highlight his general interest in understanding social population structure from a geographical, organisational, network, and temporal perspective.
Substantive applications of these methods include assessing individual and area variations in the take-up of post-compulsory education, inequalities in health and well-being, variations in crime by local area, variations in civic and political engagement in the UK and Europe, network variations in hospital waiting times and patient safety, and area, school, and network variations in health behaviour.
Another of his recent research interests is the application of the Relational Event Model (REM) to assess persistence and reciprocity of social interactions over time, as well as the use of the REM for model-based approaches to the analysis of sequences, such as the life course, and its association with the health and well-being of people in later life.
He has published in a range of substantive and methodological journals including those focusing on sociology, social networks, health, human geography and statistics. He has honorary senior and professorial positions at the Universities of Stirling (UK), Wollongong (Australia) and USI (Switzerland). He has also taught a range of statistical methods courses at various levels in the UK and internationally to academic and non-academic audiences, and supervised PhD students to completion for a range of topics in the social and political sciences.
He leads the Glasgow Quantitative Methods Group (GQMG), which promotes the interdisciplinary use of quantitative methods in research & teaching.