BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20250909T125159Z
DTSTART:20251014T120000Z
DTEND:20251014T133000Z
SUMMARY:Using integrated non-survey data for evaluating and correcting fo
 r non-response bias in surveys
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}ont-mfcjvge
 7-p0s781
DESCRIPTION:Over the past decade\, the landscape of survey data has subst
 antially changed as response rates in probability-based surveys have see
 n a steady decline. Survey non-response can have a substantial impact on
  data quality\, including the precision and reliability of survey estima
 tes. The integration of non-survey data sources (i.e. administrative rec
 ords\, geospatial characteristics and digital trace data) can help to fa
 cilitate a more effective evaluation and correction of non-response bias
  in survey data.\n\nThis free workshop\, delivered collaboratively by th
 e Survey Futures Team (Strand 7) and the UK Data Service\, explores the 
 role of data integration in addressing non-response bias in social surve
 ys. Presenters include Dr Thomas O’Toole\, Professor Joe Sakshaug\, and 
 Dr Pierre Walthery.\n\nThis workshop is the second in a series of worksh
 ops on data integration. The recording of the first Data Integration Goo
 d Practice Workshop can be found on YouTube.\n\nThe workshop will provid
 e:\n\n - An understanding of the mechanisms which drive non-response bia
 s.\n - An overview of integrated data sources and methods for evaluating
  the implications of non-response bias on data quality and correcting fo
 r non-response biases.\n - An assessment of the benefits and challenges 
 of working with integrated survey-to-non-survey data to address non-resp
 onse bias.\n - How to find and access sources of integrated data.\n\nPre
 sentations on:\n\n - Using integrated non-survey data for evaluating and
  correcting for non-response bias in surveys data\, Dr Thomas O’Toole\, 
 The University of Manchester\n - Evaluating the utility of linked admini
 strative data for non-response bias adjustment in a piggyback longitudin
 al survey\, Professor Joe Sakshaug\, Institute for Employment Research (
 IAB) and LMU-Munich\n - Integrated survey data curated by the UK Data Se
 rvice: Overview and conditions of access\, Dr Pierre Walthery\, UK Data 
 Service and The University of Manchester\n\nThis workshop is aimed at Ph
 D students\, post-doctoral researchers and lecturers\, in addition to pr
 actitioners from survey agencies. No existing knowledge of data linkage 
 or integration is needed but attendees may find watching the recording o
 f the previous workshop useful.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Online
END:VEVENT
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