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Understanding Society: the UK Household Longitudinal Study

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Title: Understanding Society: the UK Household Longitudinal Study


1
Understanding Society the UK Household
Longitudinal Study
2
Background
  • Understanding Society is a longitudinal study
    based on a household panel design
  • Basic design similar to that of British Household
    Panel Survey, which it will replace.
  • Target sample size of 40,000 households largest
    HPS
  • Main fieldwork due to start in January 2009

3
Developments so far
  • ESRC secured funding for Understanding Society
    from Large Science Facilities fund (normally for
    physical science infrastructure), Spring 2006
  • November 2006 March 2007, commissioning of
    principal investigator team
  • From April 2007, PI team starts work with
    consultation and commission survey organisation
  • September 2007, NatCen selected to deliver the
    survey.
  • January 2008, Innovation panel survey of 1500
    households starts

4
Household panel study design
  • Start with a sample of addresses, all members of
    private households found will be sample members.
  • At each wave all sample members above a threshold
    age eligible for interview.
  • Other individuals who form households with sample
    members after wave 1 eligible for interview.
  • A longitudinal sample of individuals representing
    the whole population, and interviewed within a
    household context.
  • Individuals followed as they move and form new
    households.
  • Following rules mean that the study remains
    representative of the population as it changes,
    subject to weighting and except for new
    immigrants to the UK.

5
Importance of the Household focus
  • Strength of the HPS model shown by range of
    studies internationally (e.g. PSID, SOEP, HILDA)
  • Important for research on e.g.
  • consumption and income, where within-household
    sharing of resources is important,
  • demographic change, where the household itself is
    often the object of study.
  • Can investigate family factors in decision making
  • Observing multiple generations allows examination
    of long-term transmission processes
  • Comparative analysis of sibling outcomes
  • Opportunities to explore linkages outside the
    household

6
Key features of Understanding Society
  • Large sample size proposed
  • Representative sample of whole population (all
    ages)
  • Multi-purpose multi-topic design to meet a wide
    range of disciplinary and inter-disciplinary
    research needs
  • Ethnic minority research
  • Research linking social and biomedical sciences
  • Innovation in data collection methods

7
Managing innovation in a longitudinal study
  • Timetable does not permit long lead-in to develop
    new method and new content
  • Starting in an appropriately conservative manner
    to ensure that the study is properly established
  • But ensure that there is scope for significant
    innovation as the study develops
  • Understanding Society is intended as study over
    several decades new research issues and new
    research methods are unpredictable

8
Understanding Society sample consists of
  • A new equal probability main panel achieved
    sample of around 27,000 households. The
    fieldwork for this sample will commence in
    January 2009
  • A boost ethnic minority sample, focussed on five
    main ethnic minority groups, comprising 4,000
    households
  • The BHPS sample of approximately 8,400
    households. BHPS sample data collection as part
    of the Understanding Society will start with wave
    2 in October 2009
  • An Innovation Panel of 1500 households to enable
    methodological research. The fieldwork for the
    Innovation Panel will commence in January 2008.

9
Role of the Innovation Panel
  • 1,500 household panel, taking place one year
    ahead of main stage
  • Role is to allow experimentation and
    methodological development
  • For first 2 waves used to explore mixed mode
    strategy and impacts on attrition / question
    response
  • Later for new data collection methods and
    innovative content, e.g. web, diaries, biomarkers
    and health measurement, etc

10
Data collection plan
  • 12 month intervals between interviews
  • Continuous fieldwork over 24 month field period,
    with second wave overlapping with first
  • Face-to-face interview at wave 1 mixed mode at
    wave 2, 20 face to face only
  • Individual interview not more than 30 minutes
    interview administered, plus self completion and
    consents to link data
  • Some data collection by self completion from
    children aged 10-15 from wave 1

11
Wave 1 content
  • Annual repeating measures
  • Initial conditions and life history, asked once
    only
  • Rotating and intermittent measures first
    introduced at wave 1
  • Young persons questionnaire for sample members
    aged 10-15

12
Long term content plans
  • Annual content carried forward from wave 1 (lt
    50 of content)
  • New annual content event histories over past
    year, follow-up questions from event or change of
    status, age specific modules
  • Relatively stable characteristics measured
    occasionally
  • Other intermittent modules repeated every 2/3
    years
  • Scope for including emerging issues

13
BHPS and Understanding Society
  • At wave 2 of Understanding Society (wave 19 of
    BHPS), the BHPS sample will become part of
    Understanding Society
  • Expected that BHPS will use new questionnaire
    from that point (with very limited modification
    to preserve some measurement continuity)
  • Development process recognised importance of
    comparability with BHPS so likely to be
    significant use of BHPS questions in
    Understanding Society
  • But, likely that a high proportion of BHPS
    questions will not be included, or will be asked
    less frequently

14
Opportunities
  • Starting again, compared with BHPS, an
    opportunity to review activities and see which
    are worthwhile to continue, which not
  • Focus on new research issues
  • Opportunities for mixed methods
  • Data linkage administrative, organisation,
    spatial
  • Bio-markers and health indicators
  • Qualitative data
  • Other non-standard data diaries, visual, audio
  • Use of different modes
  • E.g. web to collect data with higher frequency
  • Experiment with new technology as it is
    introduced
  • Overall aim to build a robust survey structure
    within which can experiment and innovate while
    minimising risk
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