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Longitudinal study of socioeconomic segregation between schools in the UK.

Martínez-Garrido, C. and Siddiqui, N. and Gorard, S. (2020) 'Longitudinal study of socioeconomic segregation between schools in the UK.', REICE. Ibero-American journal on quality, effectiveness and change in education., 18 (4). pp. 123-141.


he aim of this study is to understand the behavior of school segregation by socioeconomic level in the UK. To do this, all data from the United Kingdom are analyzed in the PISA Assessment from 2000 to 2015 and the Gorard index, Dissimilarity index, and the Isolation index are estimated. The analysis has shown that socio-economic segregation between schools has declined somewhat in the UK from 2000 to 2015, although the clustering of the 25% poorest of students remained relatively static since 2006. England remains more highly segregated by poverty than Wales, Scotland and Northern Ireland. The segregation levels of the 10% poorest student has declined in state-maintained schools but shown a sharp increase in private schools. The level of isolation of disadvantaged students is less in state-maintained schools than private schools. The findings show that poverty segregation trends using PISA data match with segregation trends previously analysed using the national datasets using only state-maintained schools for England. This finding leads to research implications for a detailed analysis of national school segregation trends, including student data from private school.

Item Type:Article
Full text:(AM) Accepted Manuscript
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
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Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
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Publisher statement:The works are published under a Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Spain. You can copy, use, distribute, transmit and publicly display, provided that: i) the authorship and the original source of publication (magazine, editorial and URL of the work) is acknowledged; ii) not used for commercial purposes; iii) mentioned the existence and specifications of this license.
Date accepted:27 August 2020
Date deposited:27 September 2020
Date of first online publication:27 September 2020
Date first made open access:27 September 2020

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