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Age 5 Cognitive Development in England

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Abstract

Children’s development in the early years has been shown to be related to their success in later life in a range of areas including education, employment and crime. Determining why some children do better than others in the early years is a key issue for policy and is crucial in attempts to reduce inequalities. This research examines differences in early child development by examining the factors associated with the cognitive ability of children up to age 5 using cognitive assessments administered as part of the Millennium Cohort Study (MCS) and teacher reports of child ability. The results show that younger children, those with low birth weight, lower parental education, lower income and living in social housing are more likely to have lower achievement, on average, and a higher probability of being at the bottom of the distribution of cognitive scores at age 5.

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Notes

  1. The sample is limited to families in England because one of the outcome variables—the Foundation Stage Profile (FSP)—is available only for children in England. Children in Wales, Scotland, and Northern Ireland were also rated by teachers using a similar instrument, but the results are not directly comparable to the FSP.

  2. The MCS sample was taken from the UK population which was stratified by country: England, Wales, Scotland, and Northern Ireland. England was stratified into three types of ward: ethnic minority, in which at least 30% of the residents were ethnic minorities; disadvantaged, which were those that were in the 25% poorest wards; and advantaged, which is a relative label for those wards not falling into either of the other two categories. Wards in Wales, Scotland, and Northern Ireland were stratified into advantaged and disadvantaged. All children born in the selected wards between the specified dates (approximately a year starting in mid to late 2000),who were eligible for child benefits and were alive and living in the UK at age nine months were part of the preliminary MCS sample. Full details of the sampling are available in the technical report on sampling (Plewis 2007).

  3. See Appendices 1 and 2 for the full set of descriptive statistics on all independent variables examined in this paper.

  4. The correlations of the MCS 2 value-added variables with the MCS 3 outcome variables range in magnitude from 0.23 to 0.45.

  5. https://www.ats.ucla.edu/stat/stata/library/cpsu.htm

  6. We also ran this analysis using a logit model, which produced very similar results.

  7. As a robustness check we also ran the analyses using different cut-off rates—15 and 20% and found a similar pattern of results.

References

  • Alexander, K. L., Entwisle, D. R., Blyth, D. A., & McAdoo, H. P. (1988). Achievement in the first 2 years of school: patterns and processes. Monographs of the Society for Research in Child Development, 53(2), 1–157.

    Article  Google Scholar 

  • Biedinger, N. (2010). Early ethnic inequality: the influence of social background and parental involvement on preschool children’s cognitive ability in Germany. Child Indicators Research. doi:10.1007/s12187-009-9054-6

  • Blanden, J. & Gregg, P. (2004). Family income and educational attainment: a review of approaches and evidence for Britain. Oxford Review of Economic Policy, Special Issue on Education, 20, 245–263.

    Article  Google Scholar 

  • Blanden, J., & Machin, S. (2007). Recent changes in intergenerational mobility in Britain. Report for the Sutton Trust.

  • Blanden, J., Gregg, P., & Machin, S. (2005). Educational inequality and intergenerational mobility. In S. Machin & A. Vignoles (Eds.), What’s the good of education? The economics of education in the UK. Princeton, NJ: Princeton University Press.

  • Blanden, J., Gregg, P., & Macmillan, L. (2007). Accounting for intergenerational persistence. Economic Journal, 117(519), C43–C60.

    Article  Google Scholar 

  • Brooks-Gunn, J., Klebanov, P., & Duncan, G. (1996). Ethnic differences in children’s intelligence test scores. Child Development, 67(2), 396–408.

    Article  Google Scholar 

  • Caspi, A., Moffitt, T. E., Wright, B. R. E., & Silva, P. A. (1998). Early failure in the labour market: childhood and adolescent predictors of unemployment in the transition to adulthood. American Sociological Review, 63, 424–451.

    Article  Google Scholar 

  • Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., & Huston, A. C. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446.

    Article  Google Scholar 

  • Elliott, C. D. (1996). The British ability scales II. Windsor: NFER Nelson Publishing Company.

    Google Scholar 

  • Ermisch, J. (2008). Origins of social immobility and inequality: parenting and early child development. National Institute Economic Review, 205, 62–72.

    Article  Google Scholar 

  • Feinstein, L. (2003). Inequality in the early cognitive development of British children in the 1970 cohort. Economica, 70(277), 73–98.

    Article  Google Scholar 

  • Feinstein, L. & Bynner, J. (2004). The importance of cognitive development in middle childhood for adulthood socioeconomic status, mental health, and problem behavior. Child Development, 75(5), 1329–1339.

    Article  Google Scholar 

  • Feinstein, L. & Duckworth, K. (2006). Development in the early years: Its importance for school performance and adult outcomes. WBL research report no. 20. London: Centre for Research on the Wider Benefits of Learning.

    Google Scholar 

  • Fryer, R. G., Jr. & Levitt, S. D. (2004). Understanding the Black–White test score gap in the first two years of school. The Review of Economics and Statistics, 86(2), 447–464.

    Article  Google Scholar 

  • Fryer, R. G., Jr. & Levitt, S. D. (2006). The Black–White test score gap through third grade. American Law and Economics Review, 8(2), 249–281.

    Article  Google Scholar 

  • George, A., Hansen, K., & Schoon, I. (2007). Cognitive and behavioural outcomes. In K. Hansen & H. Joshi (Eds), Millennium Cohort Study second survey: A user’s guide to initial findings. London: Centre for Longitudinal Studies, Institute of Education.

  • Goldthorpe, J. (1992). The constant flux: A study of class mobility in industrial societies. Oxford: Clarendon.

    Google Scholar 

  • Goldthorpe, J. & Erikson, R. (2002). Intergenerational inequality: a sociological perspective. Journal of Economic Perspectives, 16(3), 31–44.

    Article  Google Scholar 

  • Hansen, K. & Hawkes, D. (2009). Childcare and child development. Journal of Social Policy, 38, 211–239.

    Article  Google Scholar 

  • Hansen, K., Hawkes, D., & Joshi, H. (2009). The timing of motherhood, mothers’ employment and child outcomes. Forthcoming in J. Stillwell, E. Coast & D. Kneale (Eds.), Fertility, living arrangements, care and mobility. Amsterdam: Springer.

    Google Scholar 

  • Hill, V. (2005). Through the past darkly: a review of the British ability scales second edition. Child and Adolescent Mental Health, 10, 87–98.

    Article  Google Scholar 

  • Linver, M. R., Brooks-Gunn, J., & Kohen, D. E. (2002). Family processes as pathways from income to young children’s development. Developmental Psychology, 38(5), 719–734.

    Article  Google Scholar 

  • McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53(2), 185–204.

    Article  Google Scholar 

  • Plewis, I. (2007). The Millennium Cohort Study: Technical report on sampling. London: Centre for Longitudinal Studies, Institute of Education, University of London.

    Google Scholar 

  • Schoon, I., Bynner, J., Joshi, H., Parsons, S., Wiggins, R. D., & Sacker, A. (2002). The influence of context, timing, and duration of risk experiences for the passage from childhood to midadulthood. Child Development, 73(5), 1486–1504.

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank Heather Joshi, participants at the ESF conference in Sweden in 2008 and members of the National Equality Panel for helpful comments on an earlier draft of this paper. Thanks too to the anonymous referees and the Editor Janne Jonsson for suggestions which improved this paper.

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Correspondence to Kirstine Hansen.

Appendices

Appendix 1

Table 5 Descriptives for continuous independent variables

Appendix 2

Table 6 Descriptives for discrete independent variables

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Hansen, K., Jones, E.M. Age 5 Cognitive Development in England. Child Ind Res 3, 105–126 (2010). https://doi.org/10.1007/s12187-009-9055-5

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