Andrew Bell
Andrew Bell
Sheffield Methods Institute, University of Sheffield
Verified email at sheffield.ac.uk - Homepage
TitleCited byYear
Explaining Fixed Effects: Random effects modelling of time-series cross-sectional and panel data
A Bell, K Jones
Political Science Research and Methods 3 (1), 133-153, 2015
6552015
Another ’futile quest’? A simulation study of Yang and Land’s Hierarchical Age-Period-Cohort model
A Bell, K Jones
Demographic Research 30, 333-360, 2014
1192014
The impossibility of separating age, period and cohort effects
A Bell, K Jones
Social Science & Medicine 93, 163-165, 2013
1032013
Don't birth cohorts matter? A commentary and simulation exercise on Reither, Hauser, and Yang's (2009) age–period–cohort study of obesity
A Bell, K Jones
Social Science & Medicine 101, 176-180, 2014
442014
Fixed and Random effects models: making an informed choice
A Bell, M Fairbrother, K Jones
Quality and Quantity 53 (2), 1051-1074, 2019
372019
Stylised fact or situated messiness? The diverse effects of increasing debt on national economic growth
A Bell, R Johnston, K Jones
Journal of Economic Geography 15 (2), 449-472, 2015
292015
Life-course and cohort trajectories of mental health in the UK, 1991-2008 – a multilevel age-period-cohort analysis
A Bell
Social Science & Medicine 120, 21-30, 2014
252014
Should age-period-cohort analysts accept innovation without scrutiny? A response to Reither, Masters, Yang, Powers, Zheng and Land
A Bell, K Jones
Social Science & Medicine 128, 331-333, 2015
232015
Age, Period and Cohort Processes in Longitudinal and Life Course Analysis: A Multilevel Perspective
A Bell, K Jones
A Life Course Perspective on Health Trajectories and Transitions, 197-213, 2015
212015
Bayesian informative priors with Yang and Land’s hierarchical age–period–cohort model
A Bell, K Jones
Quality & Quantity 49 (1), 255-266, 2015
202015
The Hierarchical Age-Period-Cohort model: Why does it find the results that it finds?
A Bell, K Jones
Quality and Quantity 52 (2), 783-799, 2018
172018
Current practice in the modelling of Age, Period and Cohort effects with panel data: a commentary on Tawfik et al (2012), Clarke et al (2009), and McCulloch (2012)
A Bell, K Jones
Quality and Quantity 48 (4), 2089-2095, 2014
172014
Understanding and misunderstanding Group mean centering: a commentary on Kelley et al.'s dangerous practice
A Bell, K Jones, M Fairbrother
Quality and Quantity 52 (5), 2031-2036, 2018
132018
Urban geography and protest mobilization in Africa
S Fox, A Bell
Political Geography 53, 54-64, 2016
112016
Formula for success: Multilevel modelling of Formula One Driver and Constructor performance, 1950-2014
A Bell, J Smith, CE Sabel, K Jones
Journal of Quantitative Analysis in Sport 12 (2), 99-112, 2016
92016
Module 12: Cross-Classified Multilevel Models: MLwiN Practical
G Leckie, A Bell
LEMMA VLE Module 12, 2013
8*2013
Using shrinkage in multilevel models to understand intersectionality: a simulation study and a guide for best practice
A Bell, D Holman, K Jones
Methodology 15 (2), 88-96, 2019
22019
Do Multilevel Models Ever Give Different Results? Or Why Bother With Multilevel Models
K Jones, C Wright, A Bell
22013
Research Culture: A survey of new PIs in the UK
S Acton, A Bell, C Toseland, A Twelvetrees
eLife 8 (e46827), 1-14, 2019
1*2019
Using Longitudinal Multilevel Models to Investigate the Relationship Between Urbanization and Protest Mobilization in Africa
A Bell, S Fox
SAGE Publications Ltd, 2019
2019
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