Handling survey mode effects in the UK cohort studies
This webinar will help researchers think about the possible consequences of mode effects in their research and describe methods for handling these in practice.
Surveys are increasingly moving to mixed mode data collection – for instance, carrying out interviews via face-to-face, telephone, video and/or web.
The potential advantages of mixed mode data collection are lower costs, increased efficiency, and higher participation rates. However, participants’ responses may differ systematically depending on the survey mode used – termed “mode effects”. Unaccounted for, mode effects may lead to bias in analyses.
This webinar will consider the elements of mixed mode data collection in the Centre for Longitudinal Studies (CLS) cohorts and provide frameworks and relevant empirical evidence to help researchers think about the possible consequences of mode effects in their own analyses.
The session will conclude with a Q&A.
This event will be particularly useful for researchers, particularly those using the UK cohort studies.
Related links
Image
Mary Hinkley for UCL.
Associate Professor of Statistics and Chief Statistician
Centre for Longitudinal Studies
His applied research is mainly within the context of health, and his methodological interests include approaches for handling missing data, the analysis of linked survey and administrative data, and making causal inferences from observational data.
His research spans survey methodology (mode effects and survey weighting) and the genetics of obesity.
Further information
Ticketing
Pre-booking essential
Cost
Free
Open to
All
Availability
Yes