Professor Mark Tranmer

  • Professor of Quantitative Social Sciences (Sociology)

telephone: 0141 330 4874
email: Mark.Tranmer@glasgow.ac.uk

Room 1201, Adam Smith Building

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-4779-1570

Biography

Mark Tranmer joined the School of Social & Political Sciences in July 2016 as Professor of Quantitative Social Science. From 1999 to June 2016 he was based in Social Statistics in the School of Social Sciences at the University of Manchester, leading the Statistical Modelling Group, as well as being a member of the executive committee of the Mitchell Centre for Social Network Analysis, and a member of the Cathie Marsh Institute for Social Research (CMIST). He was awarded a PhD in Social Statistics from the University of Southampton in 1999, having previously studied statistics at BSc and MSc level in Sheffield.

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 for assessing the way in which the attributes of a network node (e.g. educational, health, and well-being measures for a person) co-vary with the attributes of other nodes to which they are connected (e.g. through friendship). 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, changes in occupational tie structures in the UK over time, network variations in hospital waiting times and patient safety, and area, school, and network variations in drinking, smoking and drug use in six European countries.

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. He is an Honorary Professor at the University of Wollongong (Australia). He has 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. GQMG seminar series on Tuesday afternoons in term time. The twitter feed is here, which includes details of seminars and other events. https://twitter.com/G_Q_M_G 

GQMG is based in the Adam Smith Building at the University of Glasgow.

The Adam Smith Building is on the Gilmorehill Campus and is building D8 on the maps that can be accessed from this page:

http://www.gla.ac.uk/about/maps/

 

Research interests

My methodological research interests are as follows:

  • Multilevel Models - including organisational (e.g. school, hospital) variations, area variations, social network variations, and longitudinal models. 
  • Social Network Analysis - including single level networks and multilevel networks that include connections at different levels of a population structure e.g. individual and organisational.
  • Bringing multilevel modelling and social network analysis together by including social network components in a multilevel model
  • The use of the Multiple Membership Multiple Classification (MMMC) model in social network, organisational, and geographical studies. 
  • Relation Event Modelling - model based approaches to investigating patterns in sequences of events over time for individuals, or patterns of network interaction over time. 

My substantive research interests include:

  • Public health - including variations in smoking and substance use, happiness and well-being. 
  • Health systems research - including variations in waiting times in hospitals and patient transfer systems; individual and organisational network variations in health research. 
  • Social support for mental health and patient safety. 
  • Social Stratification - including the modelling of variations in occupational status amongst families or between generations. 
  • Animal Behaviour - including the modelling of interaction sequences amongst networks of animals. 

 

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015
Number of items: 14.

2023

Suesse, T., Steel, D. and Tranmer, M. (2023) The effects of omitting components in a multilevel model with social network effects. Sociological Methods and Research, (doi: 10.1177/00491241231156972) (Early Online Publication)

2022

Pattaro, S. , Bailey, N. , Williams, E. , Gibson, M. , Wells, V. , Tranmer, M. and Dibben, C. (2022) The impacts of benefit sanctions: a scoping review of the quantitative research evidence. Journal of Social Policy, 51(3), pp. 611-653. (doi: 10.1017/S0047279421001069)

Gerogiannis, G., Tranmer, M. , Lee, D. and Valente, T. (2022) A Bayesian spatio-network model for multiple adolescent adverse health behaviours. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71(2), pp. 271-287. (doi: 10.1111/rssc.12531)

2021

Lerner, J., Lomi, A., Mowbray, J., Rollings, N. and Tranmer, M. (2021) Dynamic network analysis of contact diaries. Social Networks, 66, pp. 224-236. (doi: 10.1016/j.socnet.2021.04.001)

2020

Long, E. , Gardani, M. , McCann, M. , Sweeting, H. , Tranmer, M. and Moore, L. (2020) Mental health disorders and adolescent peer relationships. Social Science and Medicine, 253, 112973. (doi: 10.1016/j.socscimed.2020.112973) (PMID:32283352) (PMCID:PMC7248572)

2019

Lorant, V. and Tranmer, M. (2019) Peer, school, and country variations in adolescents’ health behaviour: a multilevel analysis of binary response variables in six European cities. Social Networks, 59, pp. 31-40. (doi: 10.1016/j.socnet.2019.05.004)

Pattaro, S. , Bailey, N. , Williams, E. , Gibson, M. , Wells, V. , Wright, S. , Tranmer, M. and Dibben, C. (2019) Labour Market and Wider Impacts of Benefit Sanctions: A Scoping Review. 17th Annual ESPAnet Conference, Stockholm, Sweden, 5-7 Sept 2019.

Fylan, B., Tranmer, M. , Armitage, G. and Blenkinsopp, A. (2019) Cardiology patients' medicines management networks after hospital discharge: a mixed methods analysis of a complex adaptive system. Research in Social and Administrative Pharmacy, 15(5), pp. 505-513. (doi: 10.1016/j.sapharm.2018.06.016) (PMID:30001861)

Pattaro, S. , Bailey, N. , Williams, E. , Gibson, M. , Wells, V. , Wright, S. , Tranmer, M. and Dibben, C. (2019) Labour Market and Wider Impacts of Benefit Sanctions: A Scoping Review [Review Protocol]. Documentation. UNSPECIFIED. (Unpublished)

2018

Kapadia, D., Nazroo, J. and Tranmer, M. (2018) Ethnic differences in women's use of mental health services: do social networks play a role? Findings from a national survey. Ethnicity and Health, 23(3), pp. 293-306. (doi: 10.1080/13557858.2016.1263283) (PMID:27892690)

2017

Kapadia, D., Brooks, H. L., Nazroo, J. and Tranmer, M. (2017) Pakistani women's use of mental health services and the role of social networks: a systematic review of quantitative and qualitative research. Health and Social Care in the Community, 25(4), pp. 1304-1317. (doi: 10.1111/hsc.12305) (PMID:26592487)

2016

Tranmer, M. , Pallotti, F. and Lomi, A. (2016) The embeddedness of organizational performance: multiple membership multiple classification models for the analysis of multilevel networks. Social Networks, 44, pp. 269-280. (doi: 10.1016/j.socnet.2015.06.005)

2015

Crossley, N., Bellotti, E., Edwards, G., Everett, M. G., Koskinen, J. and Tranmer, M. (2015) Social Network Analysis for Ego-Nets. SAGE Publications Ltd: London. ISBN 9781446267769 (doi: 10.4135/9781473911871)

Tranmer, M. , Marcum, C. S., Morton, F. B., Croft, D. P. and de Kort, S. R. (2015) Using the relational event model (REM) to investigate the temporal dynamics of animal social networks. Animal Behaviour, 101, pp. 99-105. (doi: 10.1016/j.anbehav.2014.12.005) (PMID:26190856) (PMCID:PMC4502436)

This list was generated on Thu Apr 18 11:45:57 2024 BST.
Jump to: Articles | Books | Research Reports or Papers | Conference or Workshop Item
Number of items: 14.

Articles

Suesse, T., Steel, D. and Tranmer, M. (2023) The effects of omitting components in a multilevel model with social network effects. Sociological Methods and Research, (doi: 10.1177/00491241231156972) (Early Online Publication)

Pattaro, S. , Bailey, N. , Williams, E. , Gibson, M. , Wells, V. , Tranmer, M. and Dibben, C. (2022) The impacts of benefit sanctions: a scoping review of the quantitative research evidence. Journal of Social Policy, 51(3), pp. 611-653. (doi: 10.1017/S0047279421001069)

Gerogiannis, G., Tranmer, M. , Lee, D. and Valente, T. (2022) A Bayesian spatio-network model for multiple adolescent adverse health behaviours. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71(2), pp. 271-287. (doi: 10.1111/rssc.12531)

Lerner, J., Lomi, A., Mowbray, J., Rollings, N. and Tranmer, M. (2021) Dynamic network analysis of contact diaries. Social Networks, 66, pp. 224-236. (doi: 10.1016/j.socnet.2021.04.001)

Long, E. , Gardani, M. , McCann, M. , Sweeting, H. , Tranmer, M. and Moore, L. (2020) Mental health disorders and adolescent peer relationships. Social Science and Medicine, 253, 112973. (doi: 10.1016/j.socscimed.2020.112973) (PMID:32283352) (PMCID:PMC7248572)

Lorant, V. and Tranmer, M. (2019) Peer, school, and country variations in adolescents’ health behaviour: a multilevel analysis of binary response variables in six European cities. Social Networks, 59, pp. 31-40. (doi: 10.1016/j.socnet.2019.05.004)

Fylan, B., Tranmer, M. , Armitage, G. and Blenkinsopp, A. (2019) Cardiology patients' medicines management networks after hospital discharge: a mixed methods analysis of a complex adaptive system. Research in Social and Administrative Pharmacy, 15(5), pp. 505-513. (doi: 10.1016/j.sapharm.2018.06.016) (PMID:30001861)

Kapadia, D., Nazroo, J. and Tranmer, M. (2018) Ethnic differences in women's use of mental health services: do social networks play a role? Findings from a national survey. Ethnicity and Health, 23(3), pp. 293-306. (doi: 10.1080/13557858.2016.1263283) (PMID:27892690)

Kapadia, D., Brooks, H. L., Nazroo, J. and Tranmer, M. (2017) Pakistani women's use of mental health services and the role of social networks: a systematic review of quantitative and qualitative research. Health and Social Care in the Community, 25(4), pp. 1304-1317. (doi: 10.1111/hsc.12305) (PMID:26592487)

Tranmer, M. , Pallotti, F. and Lomi, A. (2016) The embeddedness of organizational performance: multiple membership multiple classification models for the analysis of multilevel networks. Social Networks, 44, pp. 269-280. (doi: 10.1016/j.socnet.2015.06.005)

Tranmer, M. , Marcum, C. S., Morton, F. B., Croft, D. P. and de Kort, S. R. (2015) Using the relational event model (REM) to investigate the temporal dynamics of animal social networks. Animal Behaviour, 101, pp. 99-105. (doi: 10.1016/j.anbehav.2014.12.005) (PMID:26190856) (PMCID:PMC4502436)

Books

Crossley, N., Bellotti, E., Edwards, G., Everett, M. G., Koskinen, J. and Tranmer, M. (2015) Social Network Analysis for Ego-Nets. SAGE Publications Ltd: London. ISBN 9781446267769 (doi: 10.4135/9781473911871)

Research Reports or Papers

Pattaro, S. , Bailey, N. , Williams, E. , Gibson, M. , Wells, V. , Wright, S. , Tranmer, M. and Dibben, C. (2019) Labour Market and Wider Impacts of Benefit Sanctions: A Scoping Review [Review Protocol]. Documentation. UNSPECIFIED. (Unpublished)

Conference or Workshop Item

Pattaro, S. , Bailey, N. , Williams, E. , Gibson, M. , Wells, V. , Wright, S. , Tranmer, M. and Dibben, C. (2019) Labour Market and Wider Impacts of Benefit Sanctions: A Scoping Review. 17th Annual ESPAnet Conference, Stockholm, Sweden, 5-7 Sept 2019.

This list was generated on Thu Apr 18 11:45:57 2024 BST.

Supervision

I have so far first supervised / co-supervised 14 PhD students to completion on applications of quantitative methods in the social and health sciences. 

I am particularly interested in supervision of students that involve any of the following methodological topics. I have published in all of these methodological areas. 

  • Multilevel Models - including organisational (e.g. school, hospital) variations, area variations, social network variations, and longitudinal models. 
  • Social Network Analysis  - including single level networks and multilevel networks that include connections at different levels of a population structure e.g. individual and organisational.
  • Bringing multilevel modelling and social network analysis together by including social network components in a multilevel model. e.g modelling peer effects in smoking in schools. 
  • Relation Event Modelling - model based approaches to investigating patterns in sequences of events over time for individuals, or patterns of network interaction over time. 

I am particularly interested in the following substantive themes:

 

  • Public health - including variations in smoking and substance use, happiness and well-being. 
  • Health systems research - including variations in waiting times in hospitals and patient transfer systems; individual and organisational network variations in health research. 
  • Social support for mental health and patient safety. 
  • Social Stratification - including the modelling of variations in occupational status amongst families or between generations. 
  • Animal Behaviour - including the modelling of interaction sequences amongst networks of animals. 

 

If you have a PhD topic that to some extent aligns any of these methodological and/or substantive themes please contact me: mark.tranmer@glasgow.ac.uk

 

Additional information

Glasgow Quantitative Methods Group (GQMG) promotes the interdisciplinary use of quantitative methods in research & teaching. We have a seminar series on Tuesday afternoons in term time. 

The twitter feed is here, which includes details of seminars and other events. https://twitter.com/G_Q_M_G


Photo of Mark Tranmer