IDEAS home Printed from
   My bibliography  Save this article

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


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


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. Copyright (c) 2010 Royal Statistical Society.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jorssa:v:173:y:2010:i:3:p:657-682

    Download full text from publisher

    File URL:
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. 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.
    2. 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 for the Study of Labor (IZA).
    3. 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.
    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. 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.
    6. 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.
    7. 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.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:173:y:2010:i:3:p:657-682. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.