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Professor Annette Jäckle Professor of Survey Methodology, Associate Director of Innovations for Understanding Society, University of Essex

Aejack
Email
aejack@essex.ac.uk
Telephone
01206 873896
Office
2N2.6.14
Curriculum vitae

Research Interests

  • New ways of using mobile devices for survey data collection
  • Respondent consent to data linkage
  • Questionnaire design to measure change in longitudinal surveys (dependent interviewing)
  • Mixed mode data collection, effects of mode on participation and measurement error
  • Methodology of longitudinal survey data collection

Projects

ORCID:

http://orcid.org/0000-0003-2150-1413

Google Scholar:

https://scholar.google.co.uk/citations?hl=enuser=WpxKfx8AAAAJ

Follow Annette on Twitter @AnnetteJackle


Latest Blog Posts

    See all posts

    Publications

    Displaying publications 16 - 30 of 146 in total

    1. Willingness to use mobile technologies for data collection in a probability household panel

      Alexander Wenz, Annette Jäckle, and Mick P. Couper

      1. Information And Communication Technologies
      2. Survey Methodology
    2. A review of new technologies and data sources for measuring household finances: implications for total survey error

      Annette Jäckle, Alessandra Gaia, Carli Lessof, et al.

      1. Information And Communication Technologies
      2. Households
      3. Survey Methodology
      4. Finance
    3. Understanding data linkage consent in longitudinal surveys

      Annette Jäckle, Kelsey Beninger, Jonathan Burton, et al.

      1. Psychology
      2. Survey Methodology
    4. Understanding how people think about their daily spending

      Mary Suffield, Heidi Hasbrouck, Alice Coulter, et al.

      1. Information And Communication Technologies
      2. Households
      3. Survey Methodology
      4. Finance
    5. The use of new technologies to measure socio-economic and environmental concepts in longitudinal studies

      Annette Jäckle, Alessandra Gaia, and Michaela Benzeval

      1. Information And Communication Technologies
      2. Science And Technology
      3. Survey Methodology
      4. Surveys
    6. Understanding how people conceptualise household finances

      Thomas Chisholm, Heidi Hasbrouck, Alice Coulter, et al.

      1. Households
      2. Survey Methodology
      3. Income Dynamics
      4. Savings And Assets
      5. Household Economics
      6. Debt: Indebtedness
      7. Finance
    7. Participation in a mobile app survey to collect expenditure data as part of a large-scale probability household panel: response rates and response biases

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

      1. Information And Communication Technologies
      2. Survey Methodology
      3. Finance
    8. Willingness to use mobile technologies for data collection in a probability household panel

      Alexander Wenz, Annette Jäckle, and Mick P. Couper

      1. Information And Communication Technologies
      2. Survey Methodology
    9. Mixing modes and measurement methods in longitudinal studies

      Annette Jäckle, Alessandra Gaia, and Michaela Benzeval

      1. Information And Communication Technologies
      2. Science And Technology
      3. Economics
      4. Survey Methodology
      5. Surveys
    10. First equals most important? Order effects in vignette-based measurement

      Katrin Auspurg and Annette Jäckle

      1. Psychology
      2. Survey Methodology
    11. Innovation panel

      Annette Jäckle

      1. Survey Methodology
      2. Surveys
    12. Participation in a mobile app survey to collect expenditure data as part of a large-scale probability household panel: response rates, response biases and data quality

      Annette Jäckle

      1. Households
      2. Survey Methodology
      3. Finance
    13. Understanding Society Innovation Panel Wave 9: results from methodological experiments

      Michaela Benzeval, Annamaria Bianchi, Mike Brewer, et al.

    14. Using an App to collect detailed expenditure data in a probability household panel survey: response rates, response biases and measurement quality

      Annette Jäckle, Carli Lessof, Jonathan Burton, et al.

      1. Information And Communication Technologies
      2. Survey Methodology
    15. Mounting multiple experiments on longitudinal social surveys: design and implementation considerations

      Peter Lynn and Annette Jäckle


    Media

    Displaying all 7 media publications

    1. Protect BAME people hit financially by Covid, says UK thinktank

      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. The Understanding Society Covid-19 study

      1. Survey Methodology
      2. Health
      3. Surveys
      4. Covid 19
    3. 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
    4. 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
    5. 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
    6. Observing, understanding and improving society - for everyone

      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
    7. New life sciences study findings reported from University of Essex


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