Growing Up in Ireland Conference The Value of Child Cohort Studies – Historical and International Perspectives Professor John Bynner, Centre for Longitudinal.

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Presentation transcript:

Growing Up in Ireland Conference The Value of Child Cohort Studies – Historical and International Perspectives Professor John Bynner, Centre for Longitudinal Studies, Institute of Education, London 7 th December 2009, Dublin

Contents 1. Why longitudinal research 2. Longitudinal studies: time and place 3. The studies 4. Context of social change 5. Changing life course process 6. Trajectories of disadvantage and policy challenge

Value of longitudinal data Predicting consequences of early experience and circumstances – e.g. childhood disadvantage Explaining outcomes – e.g. Not in Education, Employment or Training (NEET) Estimating returns – e.g. to qualifications Identifying factors that override predictions – e.g. “escape from disadvantage” Life course dynamics – e.g. interactions between literacy proficiency, ICT competence, employment, family, health Bynner, J. & Joshi, H. (2007) ‘Building the Evidence Base from Longitudinal Data’. Innovation, 20, Bynner et al 2009 Use of Longitudinal Research in the evaluation of the Scottish Government’s Strategic Outcomes

e.g.2000e.g. 2010

Types of longitudinal cohort study Birth cohort studies: 1946, 1958, 1970, 1992 Avon Longitudinal Survey of Parents and Children (ALSPAC), 2000 Millennium Cohort Study (MCS) 2005 Growing Up in Scotland (GUS), 2008 Growing Up In Ireland (GUI), 2010 French Birth cohort study (ELFE), 2012 German National Educational Panel Study (NEPS contains one birth cohort out of multiple age cohorts), 2009 US National Children’s Study (NCS) Age cohort studies: 2004 Longitudinal Study of Young People in England (LSYPE), 2005 Growing Up in Scotland (GUS), 2008 Growing Up in Ireland (GUI), 2012 German National Educational Panel Study (NEPS) Sequential cohort studies: UK Youth Cohort Study (YCS), Scottish School Leavers Survey (SLS), 2012 German National Educational Panel Study (NEPS) Martin, J. Bynner, J. Kalton, G. Boyle, P. Goldstein, H. Gayle, V. Parsons, S. Piesse (2006), A. Review of Panel and Cohort Studies. Bynner, J. Wadsworth, M Goldstein, H. Maughan, B. Purdon, S. Michael, R. (2007), Scientific Case for a New Birth Cohort Study. Bynner, J. Wadsworth, M Goldstein, H. Maughan, B. Lessof, C. Michael, R. (2009) Options for the design of the 2012 birth cohort study. /pages/reportsnew.shtml

British Birth Cohort Studies 54 Year NSHD NSHD

British Birth Cohort Studies National Child Development Study (NCDS) NCDS 7 Year NCDS 11 Year NCDS 23 Year NCDS 33 Year NCDS 42 Year NCDS 50 Year NCDS Year NCDS Child Data 16 years NCDS

British Birth Cohort Studies 1970 British Cohort Study (BCS70) 22 Months BCS70 42 Months BCS70 BCS70 10 Years BCS70 21 Years BCS70S (sub sample) 30 Years BCS70 5 Years BCS70 26 Years BCS70 38 Years BCS Year BCS70

British Birth Cohort Studies Millennium Cohort Study MCS) months 3 years 7 years 5 years 11 years MCS Age

The British Birth Cohort studies NCDS 1958 (n = 17,000) BCS (n = 17,000) MCS 2000 (n = 19,000) NSHD 1946 (n = 5,000) Child Data Age Year Child Data ALSPAC 1992 (n = 15,000). NCS 2012 (n= 30,000) NCS= New cohort study

Theoretical perspective Distal and Proximal ecological factors in child development (Bronfenbrenner) Interactional contexts – e.g. the family Structural factors - e.g. social class, locality Life course trajectories (Elder, Heinz) shaped by : Human agency – development of the individual Linked-lives – social relations Timing – age, period, cohort Location in time and space – history and culture

Housing space – people per room % Birth cohort

Parents/carers with degrees Birth cohort %

Experienced temporary suspension from school by family social class Ferri, E., Bynner, J. and Wadsworth. M. (2003) Changing Britain Changing Lives. IoE press % Birth cohort unskilled professional

Modeling the routes to adult statuses Early resource accumulationTransition resourcesAdult statuses Family backgroundEarly influencesLeaving choicesEmployment/Family (Birth)(Age 10/11)(Age 16+)Age 26 Rural vs urban area

Structural equation model of education pathways to unemployment

1958 cohort boys: impact of family background

1970 cohort boys: impact of family background

1958 cohort boys: influences on school leaving exam scores

1970 cohort boys: influences on school leaving exam scores

1958 cohort boys: influences on unemployment

1970 cohort boys: influences on unemployment

Trajectory of disadvantage AgeDisadvantageEducation outcomeIntervention Unskilled family, Overcrowded, rented home Free school meals Workless family Lack of parental interest in child’s education Poor pre school cognitive skills Literacy and numeracy development slow Falling behind at school Every Child Matters Sure Start Casual unskilled work NEET Poor literacy and numeracy No qualifications Leave school early Educational maintenance allowances Connexions Extend education inside and outside institutions School age 18 graduation 25+Out of labour market/ early parenthood (Women) Unemployment/ delayed partnership (Men) No employer-based training Prospects poor Skills for Life Provision matched to situation and needs Embedded curriculum, Disadvantaged circumstances Cycle repeatedBreak the cycle Stage-based provision

Conclusions 1. Collection and use of longitudinal data in accordance with the life course perspective is increasingly recognized as a key tool for science and policy - hence the widening investment in longitudinal research resources across the world. 2. Such multi-disciplinary enquiry enables identification of the key features of changing social, economic, political and environmental contexts impacting on child development and to chart their long term effects. 3. GUI’s potential value will be enhanced by the growing comparative opportunities for identifying the key formative influences on development to which policy can be directed across the life course in Ireland.