Dr Andrew Bell
School of Education
Senior Lecturer in Quantitative Social Sciences
+44 114 222 6065
Full contact details
School of Education
The Wave
2 Whitham Road
91Ö±²¥
S10 2AH
- Profile
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Before moving to 91Ö±²¥, Andy was a lecturer at the University of Bristol, where he also completed his undergraduate degree (in Geography) and PhD (in Advanced Quantitative Methods). His current substantive research focuses on mental health from a life course perspective, but also spans a diverse range of other subject areas, including geography, political science, social epidemiology and economics. Methodologically, Andy’s interests are in the development and application of multilevel models, with work focusing on age-period-cohort analysis and fixed and random effects models.
- 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
Edited books
- Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem. Abingdon: Routledge.
Journal articles
- . Social Science & Medicine, 117577-117577.
- . Social Science and Medicine.
- . Annals of Human Biology, 51(1).
- . Social Science and Medicine.
- . Social Science and Medicine, 350.
- . SSM - Population Health, 101664-101664.
- . 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.
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
Website content
- 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
- PhD Supervision
- Christie Butcher: 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
- Harriet Ann Patrick: 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