Items where Author is "Burton, Jonathan"
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Burton, Jonathan and Couper, Mick and Jackle, Annette (2024) The effects of placement and order on consent to data linkage in a web survey. Journal of Survey Statistics and Methodology. DOI https://doi.org/10.1093/jssam/smae004
Jackle, Annette and Burton, Jonathan and Couper, Mick P (2023) Understanding Society: Minimizing selection biases in data collection using mobile apps. Fiscal Studies, 44 (4). pp. 361-376. DOI https://doi.org/10.1111/1475-5890.12351 (In Press)
Kumari, Meena and Andrayas, Alexandria and Al Baghal, Tarek and Burton, Jonathan and Crossley, Thomas F and Jones, Kerry S and Parkington, Damon A and Koulman, Albert and Benzeval, Michaela (2023) A randomised study of nurse collected venous blood and self-collected dried blood spots for the assessment of cardiovascular risk factors in the Understanding Society Innovation Panel. Scientific Reports, 13 (1). 13008-. DOI https://doi.org/10.1038/s41598-023-39674-6
Jackle, Annette and Burton, Jonathan and Couper, Mick P and Crossley, Thomas F and Walzenbach, Sandra (2023) Survey Consent to Administrative Data Linkage: Five Experiments on Wording and Format. Journal of Survey Statistics and Methodology. DOI https://doi.org/10.1093/jssam/smad019
Walzenbach, Sandra and Burton, Jonathan and Couper, Mick P and Crossley, Thomas F and Jackle, Annette (2023) Experiments on Multiple Requests for Consent to Data Linkage in Surveys. Journal of Survey Statistics and Methodology, 11 (3). pp. 518-540. DOI https://doi.org/10.1093/jssam/smab053
Benzeval, Michaela and Andrayas, Alexandria and Mazza, Jan and Al Baghal, Tarek and Burton, Jonathan and Crossley, Thomas F and Kumari, Meena (2023) Does feedback of blood results in observational studies influence response and consent? A randomised study of the Understanding Society Innovation Panel. BMC Medical Research Methodology, 23 (1). 134-. DOI https://doi.org/10.1186/s12874-023-01948-y
Jackle, Annette and Burton, Jonathan and Couper, Mick and Crossley, Thomas and Walzenbach, Sandra (2022) How and Why Does the Mode of Data Collection Affect Consent to Data Linkage? Survey Research Methods, 16 (3). pp. 387-408. DOI https://doi.org/10.18148/srm/2022.v16i3.7933
Jackle, Annette and Wenz, Alexander and Burton, Jonathan and Couper, Mick P (2022) Increasing Participation in a Mobile App Study: The Effects of a Sequential Mixed-Mode Design and In-Interview Invitation. Journal of Survey Statistics and Methodology, 10 (4). pp. 898-922. DOI https://doi.org/10.1093/jssam/smac006
Wenz, Alexander and Jackle, Annette and Burton, Jonathan and Couper, Mick (2022) The effects of personalized feedback on participation and reporting in mobile app data collection. Social Science Computer Review, 40 (1). pp. 165-178. DOI https://doi.org/10.1177/0894439320914261
Benzeval, Michaela and Burton, Jonathan and Crossley, Thomas and Fisher, Paul and Gardiner, Colin and Jackle, Annette and Moore, Jamie C (2021) High frequency online data collection in an annual household panel study: some evidence on bias prevention and bias adjustment. Working Paper. Understanding Society Working Paper Series.
Burton, Jonathan and Lynn, Peter and Benzeval, Michaela (2020) How Understanding Society: The UK Household longitudinal study adapted to the COVID-19 pandemic. Survey Research Methods, 14 (2). pp. 235-239. DOI https://doi.org/10.18148/srm/2020.v14i2.7746
Jackle, Annette and Burton, Jonathan and Couper, Mick and Lessof, Carli (2019) Participation in a Mobile App Survey to Collect Expenditure Data as Part of a Large-Scale Probability Household Panel: Coverage and Participation Rates and Biases. Survey Research Methods, 13 (1). pp. 23-44. DOI https://doi.org/10.18148/srm/2019.v1i1.7297
Knies, Gundi and Burton, Jonathan (2014) Analysis of four studies in a comparative framework reveals: health linkage consent rates on British cohort studies higher than on UK household panel surveys. BMC Medical Research Methodology, 14 (1). 125-. DOI https://doi.org/10.1186/1471-2288-14-125
Sala, Emanuela and Knies, Gundi and Burton, Jonathan (2014) Propensity to consent to data linkage: experimental evidence on the role of three survey design features in a UK longitudinal panel. International Journal of Social Research Methodology, 17 (5). pp. 455-473. DOI https://doi.org/10.1080/13645579.2014.899101
Knies, Gundi and Burton, Jonathan and Sala, Emanuela (2012) Consenting to health record linkage: evidence from a multi-purpose longitudinal survey of a general population. BMC Health Services Research, 12 (1). 52-. DOI https://doi.org/10.1186/1472-6963-12-52
Sala, Emanuela and Burton, Jonathan and Knies, Gundi (2012) Correlates of Obtaining Informed Consent to Data Linkage. Sociological Methods & Research, 41 (3). pp. 414-439. DOI https://doi.org/10.1177/0049124112457330
Lynn, Peter and Burton, Jonathan and Kaminska, Olena and Knies, Gundi and Nandi, Alita (2012) An initial look at non-response and attrition in Understanding Society. Working Paper. Understanding Society Working Paper.
Burton, Jonathan and Nandi, Alita and Platt, Lucinda (2010) Measuring ethnicity: challenges and opportunities for survey research. Ethnic and Racial Studies, 33 (8). pp. 1332-1349. DOI https://doi.org/10.1080/01419870903527801
Burton, Jonathan and Laurie, Heather and Lynn, Peter (2006) The Long-Term Effectiveness of Refusal Conversion Procedures on Longitudinal Surveys. Journal of the Royal Statistical Society Series A: Statistics in Society, 169 (3). pp. 459-478. DOI https://doi.org/10.1111/j.1467-985x.2006.00415.x
Carey, Sean and Burton, Jonathan (2004) Research Note: The Influence of the Press in Shaping Public Opinion towards the European Union in Britain. Political Studies, 52 (3). pp. 623-640. DOI https://doi.org/10.1111/j.1467-9248.2004.00499.x
Sanders, David and Burton, Jonathan and Kneeshaw, Jack (2002) Identifying the True Party Identifiers. Party Politics, 8 (2). pp. 193-205. DOI https://doi.org/10.1177/1354068802008002003
Booth, Alison L and Burton, Jonathan and Mumford, Karen (2000) The Position of Women in UK Academic Economics. The Economic Journal, 110 (464). F312-F333. DOI https://doi.org/10.1111/1468-0297.00541