Conventional and Innovative Sampling Methods for Hard-to-Survey Populations |
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| Coordinator 1 | Dr Melike Saraç (Hacettepe University Institute of Population Studies) |
Hard-to-survey populations typically refer to sub-groups of the total population that are difficult to define, cover, select, interview, and adjust for post-survey procedures in surveys. It is important to include these sub-groups in surveys so that policy makers can develop evidence-based policies in many areas (e.g., health, nutirition, disability, education, labor) for these groups relying on survey or registration data. Tourangeau (2014) discusses the terminology of hard-to-survey populations in the survey context. He elaborates on the distinction between hard-to-sample, hard-to-identify, hard-to-find and hard-to-interview in detail.
This session aims to discuss conventional and innovative sampling and data collection methods, in particular to cover hard-to-survey populations targeted in social surveys. The session welcomes studies dealing with methods for the sample frame, sample selection (probabilistic vs non-probabilistics), data collection, fieldwork supervision, and post-survey adjustments including weighting and calibration. The pros and cons of new sampling ideas in the digital age will be discussed in addition to traditional methods. Comparative or experimental studies as well as studies based on mathematical calculations are therefore also to be welcomed. Researchers from different countries would contribute by sharing their survey experience of sampling and collecting data from hard-to-survey populations.