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Children's educational progress: partitioning family, school and area effects

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  • Jon Rasbash
  • George Leckie
  • Rebecca Pillinger
  • Jennifer Jenkins

Abstract

Summary. School effectiveness analyses have largely ignored the role of the family as an important source of variation for children's educational progress. Sibling analyses in developmental psychology and behavioural genetics have largely ignored sources of shared environmental variation beyond the immediate family. We formulate a multilevel cross‐classified model that examines variation in children's progress during secondary schooling and partitions this variability into pupil, family, primary school, secondary school, local education authority and residential area. Our results suggest that about 50% of what has been labelled as pupil variation in school effectiveness models is really between‐family variation and that about 22% of the total variance is due to shared environments beyond the immediate family.

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  • Jon Rasbash & George Leckie & Rebecca Pillinger & Jennifer Jenkins, 2010. "Children's educational progress: partitioning family, school and area effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 657-682, July.
    • Handle: RePEc:bla:jorssa:v:173:y:2010:i:3:p:657-682
    DOI: 10.1111/j.1467-985X.2010.00642.x
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    1. George Leckie, 2009. "The complexity of school and neighbourhood effects and movements of pupils on school differences in models of educational achievement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 537-554, June.
    2. Harvey Goldstein & Simon Burgess & Brendon McConnell, 2007. "Modelling the effect of pupil mobility on school differences in educational achievement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 941-954, October.
    3. Jon Rasbash & Harvey Goldstein, 1994. "Efficient Analysis of Mixed Hierarchical and Cross-Classified Random Structures Using a Multilevel Model," Journal of Educational and Behavioral Statistics, , vol. 19(4), pages 337-350, December.
    4. George Leckie & Harvey Goldstein, 2009. "The limitations of using school league tables to inform school choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 835-851, October.
    5. Stephen W. Raudenbush, 1993. "A Crossed Random Effects Model for Unbalanced Data With Applications in Cross-Sectional and Longitudinal Research," Journal of Educational and Behavioral Statistics, , vol. 18(4), pages 321-349, December.
    6. Greg Duncan & Johanne Boisjoly & Kathleen Mullan Harris, 2001. "Sibling, peer, neighbor, and schoolmate correlations as indicators of the importance of context for adolescent development," Demography, Springer;Population Association of America (PAA), vol. 38(3), pages 437-447, August.
    7. Robert Plomin, 1999. "Genetics and general cognitive ability," Nature, Nature, vol. 402(6761), pages 25-29, December.
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    1. Schnepf, Sylke V. & Durrant, Gabriele B. & Micklewright, John, 2014. "Which Schools and Pupils Respond to Educational Achievement Surveys? A Focus on the English PISA Sample," IZA Discussion Papers 8411, Institute of Labor Economics (IZA).
    2. Isabella Sulis & Mariano Porcu, 2015. "Assessing Divergences in Mathematics and Reading Achievement in Italian Primary Schools: A Proposal of Adjusted Indicators of School Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 607-634, June.
    3. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    4. Cheung, Connie & Goodman, Deborah & Leckie, George & Jenkins, Jennifer M., 2011. "Understanding contextual effects on externalizing behaviors in children in out-of-home care: Influence of workers and foster families," Children and Youth Services Review, Elsevier, vol. 33(10), pages 2050-2060, October.
    5. Daniele, Vittorio, 2021. "Socioeconomic inequality and regional disparities in educational achievement: The role of relative poverty," Intelligence, Elsevier, vol. 84(C).
    6. Cheti Nicoletti & Birgitta Rabe, 2013. "Inequality in Pupils' Test Scores: How Much do Family, Sibling Type and Neighbourhood Matter?," Economica, London School of Economics and Political Science, vol. 80(318), pages 197-218, April.
    7. Mike Smet & Barbara Janssens, 2014. "Determinants of the choice for professional teacher education programs: A multinomial multilevel approach," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 41, pages 797-815, Asociación de Economía de la Educación.
    8. K. Purdam & P. Troncoso & A. Morales-Gomez & G. Leckie, 2024. "Local Geographic Variations in Children’s School Readiness - A Multilevel Analysis of the Development Gaps in England," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(1), pages 145-176, February.
    9. Arnhild Myhr & Monica Lillefjell & Geir Arild Espnes & Thomas Halvorsen, 2017. "Do family and neighbourhood matter in secondary school completion? A multilevel study of determinants and their interactions in a life-course perspective," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-21, February.
    10. Sanfo, Jean-Baptiste M.B., 2021. "Connecting family, school, gold mining community and primary school students’ reading achievements in Burkina Faso – A three-level hierarchical linear model analysis," International Journal of Educational Development, Elsevier, vol. 84(C).
    11. Sulis, Isabella & Giambona, Francesca & Porcu, Mariano, 2020. "Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA surveys," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    12. Cheung, Connie & Lwin, Kristen & Jenkins, Jennifer M., 2012. "Helping youth in care succeed: Influence of caregiver involvement on academic achievement," Children and Youth Services Review, Elsevier, vol. 34(6), pages 1092-1100.
    13. Juan Merlo & Philippe Wagner & Nermin Ghith & George Leckie, 2016. "An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-31, April.
    14. Tommaso Agasisti & Patrizia Falzetti & Mara Soncin, 2016. "Italian school principals’ managerial behaviors and students’ test scores: an empirical analysis," Working papers 43, Società Italiana di Economia Pubblica.

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