Completed Society, Politics & Law Economics & Business

Understanding Society: The UK Household Longitudinal Study extension for Wave 12

In plain English

AI plain-English summary

Understanding Society is following tens of thousands of UK households year after year, tracking who moves in, who leaves, who gets sick, who changes jobs, and how their finances shift over time. This matters because most large-scale surveys take a snapshot of people’s lives at one moment, making it hard to tell whether a change in health caused a drop in income, or the other way around. By following the same individuals across many years, the study lets researchers untangle cause and effect in real-world conditions—something no single interview can do. If the study succeeds, it will continue feeding evidence directly into government policy on housing, employment, health, and social care. The data already helps departments decide where to target support for ethnic minority groups, how to design pension reforms, and what drives people to emigrate. The project also experiments with new ways of collecting information—such as scanning till receipts or using smartphone apps—which could make future surveys cheaper and more accurate without losing quality. For policymakers, this means decisions about billions of pounds in public spending can be grounded in what actually happens to people, not just what they say in a one-off poll.

View original technical description
Understanding Society: the UK Household Longitudinal Study is the largest household panel study in the world, designed to address key scientific and policy questions of the 21st century. It collects high quality annual longitudinal data on individuals of all ages in households representative of the UK population. Such data enable researchers to explore the experiences, causes and consequences of changes in people's lives - their family structure, health, income, expenditure, employment and housing. The Study has additional samples for the detailed exploration of the circumstances of key immigrant and ethnic minority groups; and collects data on cognition, objective measures of health and genetics to understand how people's health and wider circumstances interact. Increasingly we have been able to secure linkage to contextual information for places and organisations, and with consent, to individual level data including administrative records, social media and commercial information. Additionally, the Study experiments with innovative ways of collecting data to continually improve the content and quality of data available. Finally, we invest in supporting researchers and working with policy makers to ensure the research based on these data is used to inform policy and practice. The Study began in 2008 with the Innovation Panel (IP), which tests methods, and the first main wave of fieldwork started in 2009. It builds on and incorporates the British Household Panel Survey (BHPS), which means for some families we have annual information from 1991. To date, seven waves of the main Study and nine waves of the IP, as well as data collected from a nurse visit, are deposited in the UK Data Service. Data collection and planning are ongoing for Waves 9-11 and IP11-12; IP10 and Wave 8 data will be released in 2018. This bid covers the costs of data collection for Wave 12 of the main Study and IP13 and 14, and associated activities. In Wave 12 we will continue to push web-first data collection within our mixed mode framework to reduce costs while maintaining response rates and data quality. We are funding Methodological Fellowships to support this. Additionally, in IP13 and 14 we will experiment with other ways of collecting and harvesting data - for example between-wave surveys, apps, scanning till receipts - to expand the research opportunities available. We are also reaching out to other potential respondents: those whom we lost in BHPS where we can find them, and the partners of people in the Study who do not live in the same households. Finally, we will be trying to understand why people who emigrant do so by interviewing such groups as they leave the Study, and also we will interview family members when a respondent moves into a care home. Policy and research agendas are constantly evolving, and it is important in a longitudinal study to balance creating long series of the same data with including new questions that address emerging topics. For Wave 12 we are reviewing whether our survey adequately captures the way in which technology impacts on different aspects of our lives. We have appointed a number of experts - Topic Champions - to improve the content of the survey and the way we present the data to users. We also aim to focus on developing our content in childhood, which is limited at present. Supporting researchers in universities, government, third sector and businesses to use the data effectively is fundamental to the success of the Study. We have a Policy Unit that directly works with government departments and third sector organisations to help them use Understanding Society data, and we undertake a wide range of activities to promote findings based on the Study to policy users. We are planning a range of international events to promote effective comparative research, especially in relation to policy analysis using the Study. We are also funding Policy Fellowships to promote the policy impact of the Study.

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Researchers

Annette Jackle (Co-Investigator)Birgitta Rabe (Co-Investigator)John Payne (Co-Investigator)Jonathan Burton (Co-Investigator)Lucinda Platt (Co-Investigator)Meena Kumari (Co-Investigator)Michaela Benzeval (Principal Investigator)Paul Clarke (Co-Investigator)Peter Lynn (Co-Investigator)Susan Harkness (Co-Investigator)Thomas Crossley (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Understanding Society: The UK Household Longitudinal Study: Waves 9-11
Understanding Society: The UK Household Longitudinal Survey Waves 13-15
Understanding Society Waves 6 to 8
Understanding Society Waves 17-22 - centre activities
UK population lab innovation development grant

Original classification

Research Grant

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