Title: The UK Household Longitudinal Study
1The UK Household Longitudinal Study
- Nick Buck
- ISER, University of Essex
2Who we are the scientific leadership team
- Nick Buck (ISER, Essex) Principal investigator
- Randy Banks (ISER)
- Stephen Jenkins (ISER)
- Heather Laurie (ISER)
- Peter Lynn (ISER)
- Steve Pudney (ISER)
- Lucinda Platt (ISER) ethnicity strand
- Richard Berthoud (ISER) ethnicity strand
- Heidi Mirza (Institute of Education) ethnicity
strand - Dieter Wolke (Warwick) biomedical strand
- Scott Weich (Warwick) biomedical strand
3Structure of presentation
- Background and developments so far
- UKHLS objectives and key features
- Structure of UKHLS and constraints
- The UKHLS questionnaire
- Relationship to BHPS
- The consultation process
- Some general issues for consideration
- Timetable
4Background
- UKLHS is a longitudinal study based on a
household panel design, i.e. - sample based on all residents (adults and
children) at addresses selected at wave one,
following them at each wave, including movers and
collecting data about new household members - Basic design similar to that of British Household
Panel Survey, which it will replace, and to
panels in other countries, e.g. SOEP, HILDA,
PSID, SoFIE so opportunities for comparison - Target sample size of 40,000 households largest
HPS
5Background (2)
- Major investment in the UKHLS is motivated by the
success of longitudinal research in UK - Most diverse portfolio of studies in the world
- In addition to BHPS Birth cohort studies (NCDS,
BCS1970, MCS, ALSPAC), Studies of ageing (ELSA),
Youth cohort studies (YCS, LSYPE), Census link
studies and others - Longitudinal research has had major impacts on
both scientific research and policy research
6UKHLS informed by rationales for longitudinal
research
- Net versus gross change gross change visible
only from longitudinal data - e.g. decomposition of change in unemployment rate
over time into contributions from inflows and
outflows - Some phenomena are inherently longitudinal (e.g.
poverty persistence unstable employment) - Provides spell-based perspectives (and can
observe how circumstances change with time spent
in state) - Repeated observations on individuals allow for
possibility of controlling for unobserved
differences between individuals (fixed and random
effect models) - The ability to make causal inference is enhanced
by temporal ordering
7Developments so far
- ESRC secured funding from OSI to start UKHLS
- Expert Panel (chair Peter Elias) steered
development of UKHLS up to appointment of PI team - 4 expert studies made recommendations on content
and design presented at meeting in October 2006 - November 2006 March 2007, commissioning of
principal investigator team - From April 2007, PI team starts work with
consultation and commission survey organisation - ESRC continues to seek co-funding
8Key features of UKHLS
- The following should be exploited and shape the
priorities for topic content - Large sample size proposed
- Household focus of the design
- Full age range sample
- Innovative data collection methods
- Multi-purpose multi-topic design to meet a wide
range of disciplinary and inter-disciplinary
research needs - Ethnic minority research
- Biomedical research.
9Key features large sample size
- 40,000 households gives an opportunity to explore
issues where other longitudinal surveys are too
small. - Small subgroups, such as teenage parents or
disabled people. - Analysis at regional and sub-regional levels,
allowing examination of the effects of
geographical variation - Large sample size allows high-resolution analysis
of events in time, for example focussing on
single-year age cohorts.
10Key features household focus
- Data collected on all members of sampled
households - 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
11Key features full age range
- The UKHLS sample includes full age range at any
point in time so complements age-focused
studies sampling elderly people (e.g. ELSA) or
young people (e.g. birth cohort studies) - Provide a unique look at behaviours and
transitions in mid-life e.g. for issues of
pensions and long-term care, associated with old
age, policy setting is influenced by earlier
behaviour. - Large sample size means that all cohorts can be
analysed at a common point in time.
12Key features innovative data collection
- Continuous development in data collection methods
benefiting from - experience from other longitudinal surveys,
- the introduction of new technologies.
- This will involve e.g.
- additional modes of interviewing,
- collection of qualitative and visual data,
- external record linkage
- Innovation Panel to allow experimentation and
methodological development.
13Key features broad interdisciplinary topic
coverage
- UKHLS will be multi-purpose survey supporting a
very wide range of research agenda - which means it cannot have the focus in depth
that more specialist surveys can achieve - Strength arises from bringing together
information on many life course domains - Interdisciplinary aims both to meet needs of
traditional panel use disciplines (economics,
social policy and sociology) and support more
interdisciplinary work within the social sciences
(e.g. geography and economics) within the
biomedical sciences (e.g. psychology and
genetics) and between the two.
14Key features ethnic minority research
- Ethnicity strand includes
- Boost sample for five key groups (Indian,
Pakistani, Bangladeshi, Carribean, Black African) - Questions focused on ethnicity issues
- Recognises the increasing prominence of research
into ethnic difference for understanding the
make-up of British society and issues of
diversity and commonality.
15Key features biomedical researh
- UKHLS will support collection of a wide range of
biomarkers and health indicators - Opportunity to assess exposure and antecedent
factors of health status, understanding disease
mechanisms (e.g. gene-environment interaction,
gene-to-function links), household and
socioeconomic effects and analysis of outcomes
using direct assessments or data linkage. - Opens up prospects for advances at the interface
between social science and biomedical research.
16UKHLS 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. - UKHLS will be a longitudinal sample of
individuals representing the whole UK population,
and interviewed within a household context. - Individuals followed as they move and form new
households. - Following rules mean that the UKHLS will remain
representative of the UK population as it
changes, subject to weighting and except for new
immigrants to the UK.
17UKHLS sample consists of
- A new equal probability main panel achieved
sample of 28,000 - 29,000 households. The
fieldwork for this sample will commence in
January 2009 - A boost ethnic minority sample, to provide 1,000
adult individuals in each of the five main ethnic
minority groups - The BHPS sample of approximately 8,400
households. BHPS sample data collection as part
of the UKHLS 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.
18UKHLS design
- Some aspects remain to be finalised and depend
partly on co-funding. The following are expected - 12 month intervals between interviews
- Continuous fieldwork (implications for reference
periods for retrospective questions) Possible 24
month field period, with second wave overlapping
with first - Face-to-face interview at wave 1 mixed mode at
wave 2 - Wave 1 individual interview not more than 40
minutes, wave 2 depends on budget, unlikely to
exceed 40 minutes and may be shorter - Some data collection from children aged less than
16 not clear when this would start
19The UKHLS questionnaire
- Length constraints are likely to be particularly
acute, given broad scope of UKHLS and wide range
of demands - So move away from BHPS structure where most
people are eligible to be asked all questions and
most questions repeated each wave - More use of questions asked regularly, but not
every wave - More use of questions asked only after key events
or at particular ages - More use of sub-samples, perhaps random
sub-samples, where full sample unnecessary, or
demographic sub-samples
20Structure of the UKHLS questionnaire
21BHPS and UKHLS
- At wave 2 of UKHLS (wave 19 of BHPS), the BHPS
sample will become part of UKHLS - 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 UKHLS - But, likely that a high proportion of BHPS
questions will not be included, or will be asked
less frequently
22Consultation on UKHLS content
- Key aims are to establish
- 1) the priorities for inclusion in the UKHLS,
- 2) the content of the core questionnaire (i.e.
that part intended to be repeated at each wave),
and - 3) the content and sequencing of modules which
might be included less frequently, or only be
addressed to part of the sample. - Objective is to consult as widely as possible,
within the constraints of the timetable (more on
this later) - Particular objective to go beyond current
longitudinal study users, and identify new areas
23Methods of consultation
- Topic groups (next slide)
- Ethnicity strand consultation
- Advisory committees and Governing Board
- Using UKHLS web site to make documents on design
available - Targeted consultation with e.g. government
departments, ESRC Boards and Directors, other
research councils - Encouraging comments from any interested parties
24Topic consultation groups
- Standard of living measures (income, consumption,
material deprivation, expenditure, financial
well-being) - Family, social networks and interactions, local
contexts, social support, technology and social
contacts - Attitudes and behaviours related to environmental
issues (energy, transport, air quality, global
warming etc.) - Illicit and risky behaviour (crime, drug use,
anti-social behaviour etc). - Lifestyle, social, political, religious and other
participation, identity and related practices,
dimensions of life satisfaction/happiness - Psychological attributes, cognitive abilities and
behaviour - Preferences, beliefs, attitudes and expectations
- Health outcomes and health related behaviour
- Education, human capital and work
- Initial conditions, life history
25Topic groups
- We do not expect topic groups to be designing
questions or questionnaire sections we are
expecting them to identify measures and to
justify their importance in terms of key research
agenda - Topic group first meetings taking place between
25 June and 18 July, - Over the summer expected to continue business,
mainly electronically - Convenors will be summarising conclusions
questionnaire design team will have access to all
comments received - Topic group cover may not be exhaustive some
research areas may be missing. Let me know about
those which concern you particularly.
26Some cross-cutting issues for most topic groups
- What is the optimal data collection frequency for
measures from a research perspective? - What level of detail is really required?
- For retrospective and flow measures what is the
most appropriate reference period? - To what extent is it necessary to collect
information about each individual within the
household? - To what extent can data be reliably collected by
one respondent on behalf of all others in the
same household?
27More cross-cutting issues
- How important is continuity of measurement
relative to the existing BHPS, and comparability
with other UK national surveys? - To what extent is cross-national comparability an
important consideration when choosing a measure? - To what extent can linkage with administrative
and other data sources provide data that can
substitute or complement collection of that data
within the UKHLS?
28Mode of data collection
- Most likely for UKHLS face-to-face, telephone,
web - Main differences between modes
- Visual vs. aural transmission of information
- Cognitive stimulus of survey question
- Self- vs. interviewer administered
- Who controls pace and flow of survey, possibility
of respondent multitasking - Face-to-face presence of interviewer
- ? Potential for non-verbal communication between
interviewer and respondent, privacy of reporting
situation, rapport, pace of interview - These lead to differences between modes in
- Task difficulty
- Respondent motivation to make required effort
- Willingness to disclose (sensitive) information
- ? Potential differences in measurement across
modes
29Example Face-to-Face vs. Telephone
Face-to-Face Telephone
Showcards Long lists Check all that apply Complex scales with word labels for each scale point Short lists / branched Qs Series of yes/no Qs Scales anchored in numeric endpoints Simpler/shorter Qs
Interviewer Non-verbal communication Probes to open-ended Qs Rapport Non-verbal measurements Verbal communication only Probes to open-ended Qs Different approach to rapport
Potential problems Primacy effects (first categories) Social desirability bias Recency effects (last categories) Social desirability bias More superficial cognitive processing
30Respondent burden issues
- UKHLS will involve repeated contacts with sample
members - The better the experience at any wave the more
likely take part next wave particularly
important at first wave and other early waves
until some commitment to study is established - Therefore
- First wave cannot be too long
- Avoid subject matter which is likely to be very
sensitive - Minimise subject matter likely to be
uninteresting to respondents (though different
respondents have different interests!)
31Timetable
May-July 2007 Recruitment to topic consultation groups and first meetings
September 2007 Feedback from topic groups on core content, to contribute to questionnaire content for the Innovation Panel
September/October 2007 First meetings of Scientific Advisory Committee and Governing Board
December 2007 Consultation on wave one content concluded consultation on future waves continues.
January 2008 Plenary conference
January December 2008 and beyond Consultation on wave two and future wave content we anticipate that the topic groups would remain active
June 2008 Final survey pre-test for wave one
January 2009 Start of wave one main fieldwork
32- Web http//www.iser.essex.ac.uk/ukhls
- Email comments to
- ukhls-consult_at_isermail.essex.ac.uk