Survey Data Integration: Nonprobability Surveys, Administrative and Digital Trace Data |
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| Coordinator 1 | Dr Camilla Salvatore (Utrecht University) |
| Coordinator 2 | Dr Angelo Moretti (Utrecht University) |
Given the declining response rates and increasing costs associated with traditional probability-based sample surveys, researchers and survey organisations are increasingly investigating the use of alternative data sources, such as nonprobability sample surveys, administrative data and digital trace data.
While initially considered as potential replacements, it is now clear that the most promising role for these alternative data sources is supplementing probability-based sample surveys. Indeed, the use of auxiliary data is a considerable opportunity as it often allows for timeliness, data with detailed time intervals, and geographical granularity, among others.
This session will discuss cutting-edge methodologies and innovative case studies that integrate diverse data sources in survey research. It will highlight strategies for improving inference, assessing data quality, and addressing biases (e.g. selection and measurement). Attendees will gain insights into the latest advancements in data integration techniques, practical applications, and future directions for survey research in an increasingly complex data environment.