Скачать или смотреть Using integrated non-survey data for evaluating and correcting for non-response bias in surveys

Over the past decade, the landscape of survey data has substantially changed as response rates in probability-based surveys have seen a steady decline. Survey non-response can have a substantial impact on data quality, including the precision and reliability of survey estimates. The integration of non-survey data sources (i.e. administrative records, geospatial characteristics and digital trace data) can help to facilitate a more effective evaluation and correction of non-response bias in survey data.

This free workshop, delivered collaboratively by the Survey Futures Team (Strand 7) and the UK Data Service, explores the role of data integration in addressing non-response bias in social surveys.

Presenters: Dr Thomas O’Toole, Professor Joe Sakshaug, and Dr Pierre Walthery.

The workshop presentation slides and worksheets are available on the event webpage: https://ukdataservice.ac.uk/events/us...