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Largescale, crosssectional government datasets research published and recent developments'

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Data comes from the Office for National Statistics or National Centre for Social Research ... Changing risk factors for divorce by year of marriage (Chan ... – PowerPoint PPT presentation

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Title: Largescale, crosssectional government datasets research published and recent developments'


1
Large-scale, cross-sectional government datasets
research published and recent developments.
  • Jo Wathan
  • Data Support
  • Economic and Social Data Service (Government)
  • Cathie Marsh Centre for Census and Survey
    Research
  • University of Manchester
  • UK
  • Jo.wathan_at_manchester.ac.uk
  • http//www.esds.ac.uk/government

2
ESDS Government
  • Economic and Social Data Service is the leading
    data dissemination and support service for social
    data in the UK. Started Jan 03
  • Distributed service, involving 4 organisations at
    2 sites in the UK
  • ESDS Government is one of 4 specialist services.
    It deals with large-scale cross-sectional
    continuous surveys
  • Academic service funded by Economic and Social
    Research Council
  • Data archiving and dissemination done by the UK
    Data Archive (download/Nesstar)
  • User support and outreach done by the Centre for
    Census and Survey Research
  • Data comes from the Office for National
    Statistics or National Centre for Social Research

3
Which surveys?
  • General Household Survey
  • Labour Force Survey
  • Family Resources Survey
  • Expenditure and Food Survey (previously the
    National Food Survey and Family Expenditure
    Survey)
  • ONS Omnibus Survey
  • National Travel Survey
  • Time Use Survey
  • British Crime Survey/Scottish Crime Survey
  • British Social Attitudes/Scottish Social
    Attitudes/Northern Ireland Life Times/Young
    Peoples Social Attitudes
  • Health Survey for England/Wales/Scotland
  • Survey of English Housing (England only)

4
What is the data like?
  • Survey microdata
  • Large sample sizes (but smaller than the SARs)
  • Continuous surveys always up-to-date
  • Cross-sectional (although the LFS has a 5-quarter
    panel element, GHS goes longitudinal this year)
  • Specialist topic surveys more depth than the
    Census
  • Freely available to academics via ESDS

5
Increased data use Jan 02-now (ESDS started Jan
03)
6
How are the data used?
  • To provide nationally representative results,
    with the flexibility of microdata
  • Analyses looking at change over time
  • Repeated cross-sections
  • Pseudo-cohort studies
  • To look at sub-populations
  • Large sample sizes
  • Many datasets can be pooled due to relative
    consistency in content and method over time
  • Hierarchical data for household analyses
  • To provide users with the scope to operationalise
    concepts differently and use more sophisticated
    modelling

7
Change over time
  • Data well suited emphasis on stability and
    comparability
  • Straightforward trends e.g.
  • Smoking by class (Marmot 2003)
  • Smoking prevalence by month (Jarvis 2003)
  • Attitudes to homosexuality (Crocket and Voas
    2003)
  • Pseudo cohort analyses
  • Womens access to pensions by partnership (Ginn
    2003)
  • Alcohol consumption by age (Kemm 2003)
  • Changing risk factors for divorce by year of
    marriage (Chan Halpin 2005)

8
Representative samples of subpopulations
  • Samples vary but can be large
  • Labour Force Survey c.60k households
  • Family Resources survey c.27k households
  • British Crime Survey c. 33k individuals
  • Pool to increase sample size of small
    subpopulations e.g. individual ethnic groups
  • 12 years pooled of LFS to look at womens
    employment by ethnic group (Dale et. Al 2005)
  • 3 years of FRS to look at womens pension chances
    by ethnic group (Ginn and Arber 2001)
  • Health Survey contains subgroup boosts
  • 1999 Ethnic minority boost allow analysis of
    obesity by ethnic group (Saxena et. Al. 2004)

9
Using hierarchy to look within households
  • Workless Households (Dickens et.al, 2000)
  • Educational homogamy in Britain Ireland (Halpin
    2003)
  • Impact of parenthood/partnership

10
ESDS GovernmentOutreach and Support
  • Help-desk
  • User Groups
  • Annual Research Conference
  • Newsletter
  • Vital stats GIS interface
  • Interface between Government and Users
  • Themed materials and training
  • Training workshops and publicity events
  • Production of teaching datasets
  • Web-based materials

11
Workshop and Events
  • Introductory workshops (inc. those joint with
    SARs workshops)
  • Joint workshops with other ESDS services
  • Methods
  • Research conferences
  • Dataset user groups
  • Other presentations
  • Posters

12
Data - value added
  • Annual teaching dataset produced
  • With documentation
  • Based around annual theme
  • Information about comparing data over time
  • Derived variables produced where necessary
  • User-generated derived variables QAd and made
    available

13
Resources to support users
  • Thematic Guides
  • FAQs Starting Analysis Guides
  • Methodological Guides
  • SPSS, Stata
  • Guide to weighting
  • Publications database
  • Biannual newsletter
  • Links to other web resources

14
CommonGIS Interfacefor Vital Statistics
15
Help-desk
  • 174 Queries in the last year
  • Range of different ranges of complexity
  • How do I get access to the HSE?
  • What are social classes written as roman
    numerals?
  • Why do my sample sizes increase if I weight?
  • Should I apply weights if Im modelling?
  • The sample size for matched LFS data seem wrong
  • The household identifiers are missing from an
    early LFS
  • Help desk involves collaboration with UKDA and
    ONS

16
Interface between data depositors and users
  • Organise User Groups for data producers to meet
    users
  • Awareness and consultation role in developments
  • General Household Survey (Longitudinal)
  • Continuous Population Survey
  • Data access e.g. Special Conditions
  • Response to increased concern about
    confidentiality and withdrawal of some data
  • Negotiation of tighter conditions to permit
    access to data which poses greater
    confidentiality concerns
  • Access to information on date of birth, local
    authority district etc.
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