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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

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    Publications

    Displaying publications 1 - 15 of 58 in total

    1. Innovation panel

      Annette Jäckle

      1. Survey Methodology
      2. Surveys
    2. 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
    3. 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
    4. Survey design, survey response behaviour and the dynamics of self-reported health and disability

      Stephen Pudney and Annette Jäckle

      1. Disability
      2. Survey Methodology
      3. Health
    5. Interviewer and respondent behaviours when measuring change with dependent interviewing

      Annette Jäckle and Tarek Al Baghal

    6. Effects of showcards on responses in face-to-face surveys

      Violetta Parutis, Annette Jäckle, and Caroline Roberts

    7. Lessons from mixed‐modes design experiments on the Understanding Society Innovation Panel

      Annette Jäckle, Peter Lynn, and Jonathan Burton

    8. Going online with a face-to-face household panel: results from an experiment on the UK Household Longitudinal Study Innovation Panel

      Annette Jäckle, Peter Lynn, and Jonathan Burton

    9. Going online with a face-to-face household panel: results from an experiment on the UK Household Longitudinal Study Innovation Panel

      Annette Jäckle, Peter Lynn, and Jonathan Burton

    10. Going online with a face-to-face household panel: Initial results from an experiment on the UK Household Longitudinal Study Innovation Panel

      Annette Jäckle, Peter Lynn, and Jonathan Burton

    11. The Role of Visual and Aural Communication in Producing Mode Effects on Answers to Survey Questions

      Peter Lynn, Steven Hope, Annette Jäckle, et al.

    12. Is it a good idea to optimise question format for mode of data collection?

      Gerry Nicolaas, Pamela C. Campanelli, Steven Hope, et al.

    13. The role of visual versus aural stimuli in producing mode effects on answers to survey questions

      Peter Lynn, Annette Jäckle, Steven Hope, et al.

    14. Quality Control for a Large Scale Household Panel Survey: Some Experiences from GB

      Annette Jäckle

    15. Moving from CAPI to Sequential CATI-CAPI Data Collection in a Household Panel Survey: Experiences from the UKHLS Innovation Panel

      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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