Methods of including and boosting under-represented population subgroups |
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| Coordinator 1 | Dr Olga Maslovskaya (University of Southampton) |
| Coordinator 2 | Dr Carina Cornesse (DIW Berlin) |
| Coordinator 3 | Mr Curtis Jessop (NatCen) |
Some population subgroups are consistently under-represented or excluded from survey samples or may be present in too small frequencies for robust subgroup analysis. While approaches to targeting these population subgroups exist, they may not provide sufficient level of quality for social surveys (e.g., use of convenience samples) or may be prohibitively expensive or unfeasible in a self-completion mode (e.g., over-sampling for the Postcode Address File (PAF) and/or screening). As survey research globally aims to become more inclusive, it is crucial to explore effective methods of including and boosting under-represented population subgroups.
In this session we would like to investigate different effective methods of including and boosting under-represented population subgroups including respondent-driven sampling approach.
We encourage papers from researchers with a variety of backgrounds and across different sectors, including academia, national statistics, and research agencies. We particularly welcome contributions that use experimental designs, and/or other designs that can inform future strategies for including and boosting under-represented subgroups in large scale high-quality probability-based surveys.
The session is proposed by Research Strand 1 of the Survey Futures project, “Enhanced Sampling Frames and Procedures”. Survey Futures is a UKRI-ESRC funded research programme focused on ensuring large-scale social surveys in the UK can innovate and adapt in a changing environment. https://surveyfutures.net/