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Research publications

ISER has an enviable publications record in top academic journals and regularly presents its work at key conferences and policy events in the UK and around the world. It is also frequently commissioned to produce reports and papers for Government Departments, think tanks, charities and businesses and its important work is frequently featured in the media. You can search all of ISER’s outputs including by area of interest and author.

Displaying Publications 31 - 60 of 159 in total

Current search: 'Survey Methodology'

  1. 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
  2. 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
  3. 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
  4. First equals most important? Order effects in vignette-based measurement

    Katrin Auspurg and Annette Jäckle

    1. Psychology
    2. Survey Methodology
  5. Data quality in the Understanding Society youth self-completion questionnaire

    Aigul Mavletova and Peter Lynn

    1. Young People
    2. Survey Methodology
    3. Social Stratification
  6. The accuracy of using paradata to detect and understand interviewer question-reading deviations

    Jennifer Kelley

    1. Computing
    2. Survey Methodology
  7. EMB/ IEMB data

    Alita Nandi

    1. Migration
    2. Survey Methodology
    3. Ethnic Groups
    4. Surveys
  8. Innovation panel

    Annette Jäckle

    1. Survey Methodology
    2. Surveys
  9. Improving the measurement of income and spending in surveys

    Mike Brewer

    1. Survey Methodology
    2. Household Economics
    3. Finance
  10. 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
  11. Are there differences in responses to social identity questions in face-to-face versus telephone interviews? Results of an experiment on a longitudinal survey

    Alita Nandi and Lucinda Platt

    1. Psychology
    2. Survey Methodology
  12. How does attrition affect estimates of persistent poverty rates? The case of EU SILC

    Stephen P. Jenkins and Philippe Van Kerm

    1. Social Inclusion
    2. Poverty
    3. Survey Methodology
  13. Design and implementation issues to improve the research value of the longitudinal component of EU‑SILC

    Maria Iacovou and Peter Lynn

    1. Households
    2. Survey Methodology
  14. Interviewer effects and the measurement of financial literacy

    Thomas F. Crossley, Tobias Schmidt, Panagiota Tzamourani, et al.

    1. Households
    2. Survey Methodology
    3. Savings And Assets
    4. Finance
  15. 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
  16. Completing web surveys on mobile devices: does screen size affect data quality?

    Alexander Wenz

    1. Information And Communication Technologies
    2. Science And Technology
    3. Survey Methodology
  17. Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses

    Fiona Steele, Paul Clarke, George Leckie, et al.

    1. Statistical Mathematics
    2. Psychology
    3. Survey Methodology
  18. Assessing cortisol from hair samples in a large observational cohort: the Whitehall II study

    Jessica G. Abell, Tobias Stalder, Jane E. Ferrie, et al.

    1. Medicine
    2. Survey Methodology
    3. Health
    4. Biology
  19. Does repeated measurement improve income data quality?

    Paul Fisher

    1. Economics
    2. Survey Methodology
    3. Income Dynamics
  20. Using data mining to predict the occurrence of respondent retrieval strategies in calendar interviewing: the quality of retrospective reports

    Robert F. Belli, L. Dee Miller, Tarek Al Baghal, et al.

    1. Survey Methodology
    2. Life Course Analysis
  21. Parallel associations and the structure of autobiographical knowledge

    Robert F. Belli and Tarek Al Baghal

    1. Psychology
    2. Survey Methodology
    3. Life Course Analysis
  22. Sample attrition and physical health of immigrants in the UK -PhD thesis-

    Dorothee Schneider

    1. Migration
    2. Survey Methodology
    3. Health
  23. Eye-tracking social desirability bias

    Olena Kaminska and Tom Foulsham

    1. Survey Methodology
    2. Social Psychology
  24. Methods for probability-based online and mixed-mode panels: selected recent trends and future perspectives

    Michael Bosnjak, Marcel Das, and Peter Lynn

    1. Survey Methodology
    2. Research
  25. Adapting chain referral methods to sample new migrants: possibilities and limitations

    Lucinda Platt, Renee Reichl Luthra, and Tom Frere-Smith

    1. Demography
    2. Migration
    3. Survey Methodology
  26. 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
  27. 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
  28. Which biosocial characteristics predict the accuracy of self-reported height and weight among adults? A comparison of data from Understanding Society Wave 1 and Wave 2 (Nurse Visit)

    Rasha Alfawaz, Graham Law, Eleanor Scott, et al.

    1. Medicine
    2. Science And Technology
    3. Survey Methodology
    4. Health
  29. Income reporting in the initial waves of panel surveys: evidence from the Understanding Society

    Paul Fisher

    1. Survey Methodology
    2. Income Dynamics
  30. Towards device agnostic survey design: challenges and opportunities for Understanding Society

    Tim Hanson, Peter Matthews, and Alexander Wenz

    1. Science And Technology
    2. Survey Methodology

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