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Longitudinal data across life: an introduction to using cohort data

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1 Longitudinal data across life: an introduction to using cohort data
Dr David Bann co-Investigator of NCDS Dr Morag Henderson co-Investigator of Next Steps Dr Vanessa Moulton Senior Research Associate

2 Workshop background and scope
Tremendous interest in cohort studies – powerful resources Multi purpose and disciplines Collaborative endeavours: research  data Informing policy Today’s scope: Information on each study, updates (new data) How to access/use them Examples of their use Throughout: inspiration, guidance/advice, suggestions Today’s participants: range of experience using cohorts

3 What we do at CLS (ESRC funded)
Run four major national longitudinal studies Follow thousands of people across life Collect extensive & rich data Provide free data to research community (UK Data Archive) Documentation, guidance & training Conduct research Multidisciplinary, substantive & methodological (survey and statistical) For example: Health influences on socio-economic outcomes, first in family to go to university, health inequalities over time International collaborations & visits

4 Follow-up across life, N>16,000
National Child Development Study 1958 British Cohort Study 1970 Next Steps Millennium Cohort Study 1920 1940 1960 1980 2000 2020

5 Study timelines and future 2020-2030
MCS BCS70 MCS: Early adulthood (20-30): Formative trajectories in education and training, and early careers; mental health and physical health (peak function), and identity and partnership formation. Next Steps: Established adult hood, mid-life (30-40): Career and skill progression, family formation and fertility; asset accumulation (including housing), health and well-being, political attitudes and trust. BCS70: Later mid-life (50-60) & NCDS State Pension Age and beyond (62-72) : Preparing for retirement, extended working lives, and healthy ageing

6 Outline 10.35 Introduction to the cohort studies
David Bann, Morag Henderson & Vanessa Moulton 11.40 Break 12.00 Interdisciplinary research examples Who uses out-of-school care in Scotland and why. Andrew Guthrie The transition to primary school: how family background and childcare experiences influence children’s skills on school entry. Dr. Adriana Duta Social class inequalities in general cognitive ability: Reflections on transparent and reproducible cohort data analysis. Professor Vernon Gayle Selective schooling and adult health: Natural experiment study using the UK’s 1958 Birth Cohort Study. Dr. Welcome Wami 13.20 Lunch and discuss your research ideas / queries

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