Skip to content

Dr Jonathan Burton Associate Director, Surveys, University of Essex

Jburton photo20180601 21118 1b513bf
Email
jburton@essex.ac.uk
Telephone
01206 872266
Office
2N2.5A.02
Curriculum vitae

Position

Jonathan Burton is the Understanding Society Associate Director, Surveys and is responsible for the management of the survey.

Research Interests

  • Survey methods, particularly survey participation, willingess to consent to data linkage, use of technology and mobile devices in surveys, and mixed-mode studies.

Follow me on Twitter @jburton123


Latest Blog Posts


    Publications

    Displaying all 14 publications

    1. How Understanding Society: the UK Household Longitudinal Study adapted to the COVID-19 pandemic

      Jonathan Burton, Peter Lynn, and Michaela Benzeval

      1. Households
      2. Survey Methodology
      3. Health
      4. Surveys
      5. Covid 19
    2. The effects of personalized feedback on participation and reporting in mobile app data collection

      Alexander Wenz, Annette Jäckle, Jonathan Burton, et al.

      1. Information And Communication Technologies
      2. Survey Methodology
    3. 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

      Annette Jäckle, Jonathan Burton, Mick P. Couper, et al.

      1. Information And Communication Technologies
      2. Survey Methodology
      3. Finance
    4. Going online with a face-to-face household panel: effects of a mixed mode design on item and unit non-response

      Annette Jäckle, Peter Lynn, and Jonathan Burton

      1. Information And Communication Technologies
      2. Survey Methodology
    5. Analysis of four studies in a comparative framework reveals: health linkage consent rates on British cohort studies higher than on UK household panel surveys

      Gundi Knies and Jonathan Burton

      1. Survey Methodology
      2. Health
    6. Propensity to consent to data linkage: experimental evidence on the role of three survey design features in a UK longitudinal panel

      Emanuela Sala, Gundi Knies, and Jonathan Burton

    7. Collecting biomarkers using trained interviewers. Lessons learned from a pilot study

      Stephanie L. McFall, Anne Conolly, and Jonathan Burton

      1. Medicine
      2. Survey Methodology
      3. Health
      4. Biology
    8. Correlates of obtaining informed consent to data linkage: respondent, interview, and interviewer characteristics

      Emanuela Sala, Jonathan Burton, and Gundi Knies

    9. Consenting to health record linkage: evidence from a multi-purpose longitudinal survey of a general population

      Gundi Knies, Jonathan Burton, and Emanuela Sala

      1. Health
      2. Surveys
    10. Measuring ethnicity: challenges and opportunities for survey research

      Jonathan Burton, Alita Nandi, and Lucinda Platt

      1. Social Groups
      2. Survey Methodology
    11. Explorations: the status of women economists

      Joyce P. Jacobsen, Roberta Edgecombe Robb, Jonathan Burton, et al.

      1. Labour Market
      2. Economics
      3. Higher Education
    12. The long-term effectiveness of refusal conversion procedures on longitudinal surveys

      Jonathan Burton, Heather Laurie, and Peter Lynn

    13. The Influence of Mass Media in Shaping Public Opinion on the European Union

      Jonathan Burton and Sean Carey

    14. Identifying the true party identifiers: a question wording experiment

      David Sanders, Jonathan Burton, and Jack Kneeshaw


    Media

    Displaying all 6 media publications

    1. Black, minority Britons hit hardest by COVID job losses, researchers say

      1. Demography
      2. Labour Market
      3. Unemployment
      4. Economics
      5. Poverty
      6. Welfare Benefits
      7. Survey Methodology
      8. Income Dynamics
      9. Savings And Assets
      10. Wages And Earnings
      11. Household Economics
      12. Debt: Indebtedness
      13. Ethnic Groups
      14. Health
      15. Finance
      16. Social Stratification
      17. Covid 19
    2. Coronavirus hitting BAME and single parent families worst financially

      1. Demography
      2. Labour Market
      3. Unemployment
      4. Economics
      5. Poverty
      6. Welfare Benefits
      7. Survey Methodology
      8. Income Dynamics
      9. Savings And Assets
      10. Wages And Earnings
      11. Household Economics
      12. Debt: Indebtedness
      13. Ethnic Groups
      14. Health
      15. Finance
      16. Social Stratification
      17. Covid 19
    3. BAME and single-parent families worst hit financially by Covid-19

      1. Demography
      2. Labour Market
      3. Unemployment
      4. Economics
      5. Poverty
      6. Welfare Benefits
      7. Survey Methodology
      8. Income Dynamics
      9. Savings And Assets
      10. Wages And Earnings
      11. Household Economics
      12. Debt: Indebtedness
      13. Ethnic Groups
      14. Health
      15. Finance
      16. Social Stratification
      17. Covid 19
    4. Reports outline ethnic research from University of Essex

    5. Reports outline ethnic research from University of Essex

    6. Equality slowly added to field of economics


    Centres and surveys

    Micro-social change, surveys and data, tax and benefit microsimulation

    News

    Keep up to date with new research findings and projects

    Events

    Conferences, seminars and workshops

    People

    Meet our researchers and our students

    Jobs

    Work with our expert research team and support staff

    Contact

    Get in touch and find us