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A probability-based web panel for the UK:

University of Essex, June 2013. A probability-based web panel for the UK:. What could it look like?. Why a prob-based web panel in the UK?. More scientifically robust than opt-in panels (Yeager et al 2011)

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A probability-based web panel for the UK:

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  1. University of Essex, June 2013 A probability-based web panel for the UK: What could it look like?

  2. Why a prob-based web panel in the UK? • More scientifically robust than opt-in panels (Yeager et al 2011) • Cheaper than probability-based omnibus surveys using traditional modes of data collection • More timely and flexible than existing large scale surveys • A vehicle for methodological research that will aid transition to web on other surveys • Opens up possibilities of collecting new types of data • Could lead to unanticipated social scientific discoveries

  3. Population and sample Population of inference: • UK general population (Eng, Wales, Scotland, N. Ireland) • Aged 16+, or should there be an upper age limit? • Inclusion of younger age groups would be possible Sampling frame: • Dependency on Postcode Address File (PAF) • NB. Random Digit Dialling not feasible: response rates too low Sample of households versus individuals?

  4. Recruitment Mode of recruitment: • Face-to-face doorstep recruitment • Or sequential mixed mode (postal -> f2f)? Treatment of those without internet access: • Do we need to include the 20% of UK hholds that are offline? • If so, provide equipment & internet access to those without, or tablet with app to all, or second mode (postal)?

  5. Maintaining representativeness Participant engagement: • Email invites & reminders: how many, multiple modes? • Intrinsic motivation • Incentives: monetary, points, tailored, targeted? Refreshment samples: • How often? • How long to keep panel members? Weighting for differential non-response: • Complex

  6. Response Rates • How low can we go? • Response rate at recruitment stage • Wave response rates • Non-response bias

  7. Frequency of data collection: • At least every one or two months • Why not more often?

  8. Technology: • Desktop, laptop, tablet, mobile web • Apps versus web browsers • Should we be designing primarily for mobile? • Complementary data collection using other real-time data collection modes and remotely collected biomeasures & biomarkers

  9. Questionnaire • Provision of questions by academics, govt researchers, others? • Core questions: topics of interest to main sponsors • Open question space: timeliness • Ratio of core questions and open question space • Mix of cross-sectional and longitudinal questions • Questionnaire length

  10. Financing European model: • European model = Grant funding, based at university • Commercial model, e.g. Knowledge Networks • Other model, e.g. government funded? Investment: • What is the right cost metric to compare to alternatives? • What is the added value of a UK prob-based web panel?

  11. For discussion Three key issues for the UK: • Is there a business case for a UK probability-based web panel? • What business model would work in the UK? • Trade-offs between cost and quality e.g. exclusion of those without internet access 10

  12. Thank you For further info Email Gerry.Nicolaas@natcen.ac.uk Go to the website http://www.natcen.ac.uk/genpopweb/index.htm Follow @GenPopWeb

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