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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 31 - 45 of 146 in total

    1. Is that still the same? Has that changed? On the accuracy of measuring change with dependent interviewing

      Annette Jäckle and Stephanie Eckman

    2. Revisiting "yes/no" versus "check all that apply": results from a mixed modes experiment

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

    3. Survey response behaviour and the dynamics of self-reported health and disability: an experimental analysis

      Annette Jäckle and Stephen Pudney

      1. Disability
      2. Survey Methodology
      3. Health
    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. First equals most important? Order effects in vignette-based measurement

      Katrin Auspurg and Annette Jäckle

    8. Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments

      Annelies G. Blom, Jonathan Burton, Cara L. Booker, et al.

    9. 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
    10. Dependent interviewing and sub-optimal responding

      Eggs Johannes and Annette Jäckle

      1. Welfare Benefits
      2. Survey Methodology
    11. Assessing the mechanisms of misreporting to filter questions in surveys

      Stephanie Eckman, Frauke Kreuter, Antje Kirchner, et al.

    12. Dependent interviewing and sub-optimal responding

      Eggs Johannes and Annette Jäckle

      1. Welfare Benefits
      2. Survey Methodology
    13. Understanding Society Innovation Panel Wave 6: results from methodological experiments

      Nick Allum, Katrin Auspurg, Margaret Blake, et al.

    14. Assessing the mechanisms of misreporting to filter questions in surveys

      Stephanie Eckman, Frauke Kreuter, Antje Kirchner, et al.

    15. The role of the interviewer in producing mode effects: results from a mixed modes experiment comparing face-to-face, telephone and web administration

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


    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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