Understanding Society: Innovation Panel, Waves 1-17, 2008-2024: Special Licence Access, Local Education Authorities
View DatasetDescription
<p><span style="font-style: italic;">Understanding Society</span>, (the UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.</p><p>The <span style="font-style: italic;">Understanding Society Innovation Panel</span> is designed for experimental and methodological research relevant to longitudinal surveys. As far as practical its design, content, and data collection procedures are similar to the main stage Understanding Society survey. It is a multi-topic household survey representative of the population of Great Britain. Data collection takes place annually using computer assisted personal interviewing (CAPI), web surveys and telephone interviewing (CATI) to a small extent. </p><p>For details of the main Understanding Society study, please see study number 6614.</p> <p>The Understanding Society: Innovation Panel: Special Licence Access, Local Education Authorities, Education and Library Boards dataset contains Local Education Authorities (LEA) for England and Wales geographic variables for each wave of Understanding Society: Innovation Panel to date, and a household identification serial number for file matching to the main Understanding Society: Innovation Panel data. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access data' tab for more information).</p><p><b>Latest edition information</b></p><p>For the 12th edition (September 2025), data for Wave 17 was deposited and the documentation updated accordingly.</p>
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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
71%
Source
Open Alex