Jamie Moore | University of Essex

Email
moorej@essex.ac.uk
Location

2N2.4.26, Colchester Campus

Teaching and supervision

Current supervision

Degree subject: Biosocial Research
Degree type: Doctor of Philosophy

Publications

Journal articles (7)

Miall, N., Pearce, A., Moore, JC., Benzeval, M. and Green, MJ., (2023). Inequalities in children’s mental health before and during the COVID-19 pandemic: findings from the UK Household Longitudinal Study. Journal of Epidemiology and Community Health. 77 (12), 762-769

Robertson, E., Reeve, KS., Niedzwiedz, CL., Moore, JC., Blake, M., Green, M., Katikireddi, SV. and Benzeval, MJ., (2021). Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study. Brain, Behavior, and Immunity. 94, 41-50

Moore, JC., Durrant, GB. and Smith, PWF., (2021). Do coefficients of variation of response propensities approximate non‐response biases during survey data collection?. Journal of the Royal Statistical Society Series A: Statistics in Society. 184 (1), 301-323

Robertson, E., Reeve, KS., Niedzwiedz, CL., Moore, J., Blake, M., Green, M., Katikireddi, SV. and Benzeval, MJ., (2021). Predictors of COVID-19 vaccine hesitancy in the UK Household Longitudinal Study. Brain, Behavior, and Immunity. 94, 41-50

Moore, JC., Durrant, GB. and Smith, PWF., (2018). Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice. Journal of the Royal Statistical Society: Series A (Statistics in Society). 181 (1), 229-248

Moore, JC., Smith, PWF. and Durrant, GB., (2018). Correlates of record linkage and estimating risks of non-linkage biases in business data sets. Journal of the Royal Statistical Society: Series A (Statistics in Society). 181 (4), 1211-1230

Sturgis, P., Williams, J., Brunton-Smith, I. and Moore, JC., (2017). Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes: A Multilevel Meta-analysis. Public Opinion Quarterly. 81 (2), 523-542

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Reports and Papers (6)

James, N. and Moore, JC., Survey Mode Change by Necessity: Evaluating survey dataset performance during a global pandemic

Moore, J., Cabrera Alvarez, P., Durrant, G., Jackle, A., Smith, P. and Burton, J., (2025). Are interviewer administered follow-ups of web non-respondents still needed to maximise respondent dataset quality? Evidence using Understanding Society: the UK Household Longitudinal Study

Moore, J. and Durrant, G., (2025). Quantifying the impacts of web-first sequential mixed mode survey design on UKHLS COVID-19 Study dataset quality

Moore, J. and Durrant, G., (2025). Non-response bias risks in sample sub-groups in Understanding Society: the UK Household Longitudinal Study

Moore, J., Burton, J., Crossley, TF., Fisher, P., Gardiner, C., Jackle, A. and Benzeval, M., (2024). Assessing bias prevention and bias adjustment in a sub-annual online panel survey

Benzeval, M., Burton, J., Crossley, T., Fisher, P., Gardiner, C., Jackle, A. and Moore, JC., (2021). High frequency online data collection in an annual household panel study: some evidence on bias prevention and bias adjustment.

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