Professor Andrew Bell
School of Education
Professor of Quantitative Social Sciences
+44 114 222 6065
Full contact details
School of Education
The Wave
2 Whitham Road
Sheffield
S10 2AH
- Profile
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Before moving to Sheffield, Dr. Bell was a lecturer at the University of Bristol, where he also completed his undergraduate degree (in Geography) and PhD (in Advanced Quantitative Methods). His research spans a diverse range of subject areas: his work includes a focus on health inequalities, for example looking at mental health trajectories from a life-course perspective; but he has also contributed to other disciplines including geography, political science, and economics. His work is united by a methodological interest in the development and application of multilevel models, including age-period-cohort analysis and fixed and random effects models. He is currently working on developing and applying multilevel models for uncovering intersectional inequalities, particularly in health outcomes.
- Research interests
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Multilevel modelling, longitudinal modelling, mental health and wellbeing, life course research, political science, social epidemiology
- Publications
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Books
- . Sage.
Edited books
- Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem. Abingdon: Routledge.
Journal articles
- . Journal of Epidemiology and Community Health, 80, 167-173.
- . Sociological Methods & Research.
- . Social Science & Medicine, 117577-117577.
- . Social Science and Medicine, 363.
- . Annals of Human Biology, 51(1).
- . Social Science and Medicine, 351.
- . Social Science and Medicine, 350.
- . SSM - Population Health, 26.
- . Momentum Quarterly, 11(4), 204-269.
- . Journal of Consulting and Clinical Psychology, 91(2), 82-94.
- . Quality and Quantity, 57(4), 3219-3239.
- . Housing Studies.
- . Health and Place, 77.
- . Frontiers in Public Health, 10.
- . Health Research Policy and Systems, 19(1).
- . Scientific Reports, 10.
- . Annals of Human Biology, 47(2), 208-217.
- . eLife, 2019(8).
- . Methodology, 15(2), 88-96.
- . Quality & Quantity, 53(2), 1051-1074.
- . ChemMedChem, 13(6), 582-587.
- . Quality and Quantity, 52(5), 2031-2036.
- . Quality and Quantity, 52(2), 783-799.
- . Political Geography, 53, 54-64.
- . Journal of Quantitative Analysis in Sports, 12(2), 99-112.
- . Social science & medicine, 128, 331-333.
- . Quality and Quantity, 49(1), 255-266.
- . Journal of Economic Geography, 15(2), 449-472.
- . Political Science Research and Methods, 3(1), 133-153.
- . Social science & medicine, 120, 21-30.
- . Quality and Quantity, 48(4), 2089-2095.
- . Demographic Research, 30, 333-360.
- . Social Science & Medicine, 101, 176-180.
- . Social science & medicine, 93, 163-165.
- Intersectional inequalities in neighbourhood air pollution concentration in England: A quantitative analysis of ecological data using Eco-Intersectional Multilevel (EIM) modelling. Applied Spatial Analysis and Policy.
Book chapters
- In Hochman O, Stanciu A & Hadjar A (Ed.), 40 Jahre ALLBUS - Die deutsche Gesellschaft im Wandel (pp. 141-178). Springer VS Wiesbaden
- Introducing age, period and cohort effects In Bell A (Ed.), Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem Abingdon: Routledge.
- In Bell A (Ed.), Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem (pp. 23-40). Abingdon: Routledge.
- Cross-Sectional and Longitudinal Studies. In Morin J-F, Olsson C & Atikcan EÖ (Ed.), Research Methods in the Social Sciences: A A-Z of Key Concepts (pp. 72-75). Oxford University Press.
- Age, period and cohort processes in longitudinal and life course analysis: a multilevel perspective In Burton-Jeangros C, Cullati S, Sacker A & Blane D (Ed.), A Life Course Perspective on Health Trajectories and Transitions (pp. 197-213). Springer International Publishing
Conference proceedings
- . SSM Annual Scientific Meeting (pp A84.1-A84)
Digital content
- Intersectional modelling in health policy: a case study on remote GP appointments and patient experience.
- Multilevel models to study intersectionality.
- Age Period Cohort models: the identification problem and what to do about it. Retrieved from
- Intersectionality and health explained. Youtube. Retrieved from
- Making Sense Of Data In The 2019 General Election. Social Science Space. Retrieved from
- Female scientists get less money and staff for their first labs. Nature News. Retrieved from
- . Retrieved from
- Fake news: Universities offer tips on how to spot it. BBC News. Retrieved from
- The Age Period Cohort Identification Problem. YouTube video. Retrieved from
- Who is the Greatest Formula 1 Driver of All Time? - Why Numbers Matter, Episode 5. Retrieved from
- Chocolate Helps You Lose Weight - Why Numbers Matter, Episode 4. Retrieved from
- Are You Above Average? - Why Numbers Matter, Episode 3. Retrieved from
- Blue Monday and the problem of junk science. Futurelearn blog. Retrieved from
- The impossibility of separating age, period and cohort effects. Conference presentation at NCRM Research Methods Festival, 2014. Retrieved from
- The varying relationship between economic growth and national debt. NCRM MethodsNews. Retrieved from
- Significant variation across countries means that simple conclusions regarding growth and debt, like those offered by Reinhart & Rogoff, have no policy relevance. Retrieved from
- Module 12: Cross-Classified Multilevel Models - MLwiN practical. Retrieved from
Preprints
- , Center for Open Science.
- , Center for Open Science.
- , Center for Open Science.
- , Center for Open Science.
- , Center for Open Science.
- , Center for Open Science.
- PhD Supervision
- : The characteristics and experiences of carers in the UK trends and variations 2001-2021 (with Prof Matt Bennett and Professor Sue Yeandle) ESRC-funded Data Analytics and Society CDT, in partnership with CarersUK
- : The financial costs of unpaid care in a geographical context (with Prof Matt Bennett and Professor Sue Yeandle) ESRC-funded Data Analytics and Society CDT, in partnership with Office for National Statistics
- Rhiannon Williams: Tackling homelessness in the UK: a data analytics approach (with Prof Gwilym Price and Dr Beth Garratt). ESRC-funded Data Analytics and Society CDT, in partnership with Shelter