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Longitudinal Studies Past, Present and Future

Longitudinal Studies Past, Present and Future. ESRC Commitment Long Term Two strands Select National Jewels Ad hoc Studies. Select (ESRC) National Jewels. LS Cohorts BHPS These are funded for the data and given funds to promote analysis.

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Longitudinal Studies Past, Present and Future

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  1. Longitudinal StudiesPast, Present and Future • ESRC Commitment Long Term • Two strands • Select National Jewels • Ad hoc Studies

  2. Select (ESRC) National Jewels • LS • Cohorts • BHPS • These are funded for the data and given funds to promote analysis

  3. Other Major Longitudinal Studies • There are many BUT • Access often difficult

  4. Major Characteristics of all Longitudinal Studies • Expensive • Require Long Term Commitment • Payoff not immediate

  5. Pay off not immediate BUT • There is much that can be done • MILLENIUM COHORT • There needs to be work to ensure maximum value for investment

  6. Do we need any more national jewels? • Institutions • 46, 58, 70, ?, 01 • Regional Estimates • Specific Demographic Groups • Expense • Use • Decisions MUST be based on a clear assessment of the substantive questions which the data will, over time address.

  7. National Data Strategy • Need long term commitment to a core set of data • Not all longitudinal • Paul Boyle’s review • National Datasets co-ordinator • Policy Launch June • Strategy Development over Autumn • Feed into new ESRC Strategic Framework

  8. ESRC’s New Framework • Capacity • Delivery • Engagement • Performance

  9. What we do The themes: • Economic Performance and development • Environment and Human Behaviour • Governance and Citizenship • Knowledge, Communication and Learning • Lifecourse, Lifestyles and Health • Social Stability and Exclusion • Work and Organisation • Research resources

  10. Fit into RCUK Ten Year Vision • Some potential areas (NB EXTREMELY ILLUSTRATIVE) • Economic Performance • Population • Individual Behaviour, Lifestyle and Health • Public Service Delivery • Education • Our Environment and Food

  11. Lowest Common Denominator • All benefit from Longitudinal Data

  12. Infrastructure for Next Ten Years • Twenty first century Social Science requires twenty first century infrastructure • Major area will be modelling individual and institutional data over time and space and from different sources • Methodological Development • merging • disclosure control

  13. Analysis • 1980 Logistical Regression • 1987 Current Status data • 1990 Discrete Time Hazards (DTH) • 1995 Multilevel DTM • 1997 Multilevel Multinomial DTH • 2001 Multiprocess Modelling • 2003 Onwards • e-social science • multiple types

  14. Final Summary • LS Central to ESRC • LS Central to Social Science BUT • We need to be clear about focus and need

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