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The Administrative Data Research Network is an ESRC-funded project that ran from October 2013 - July 2018. It is currently at the end of its funding cycle and is no longer taking applications. Administrative data research will be taken forward in a new project, to be launched later in 2018.

Non-education follow ups of Education Endowment Foundation RCTs

London Education and Inclusion Project (LEIP): Long-term follow up of education, training and criminal justice outcomes

Research overview

LEIP was a randomised controlled trial of an intervention run by Catch22 involving more than 700 pupils in 36 schools in highly deprived parts of London (ISRCTN: 23244695). The original LEIP project was funding by the European Social Fund (VP/2011/009) and the Education Endowment Foundation (EEF).

The Education Endowment Foundation funds randomised controlled trials in education, and plans to follow up educational achievements after the trials have finished. This study is a test-case for conducting low-cost follow ups using administrative data to look at non-education outcomes.

The researchers want to see if the new approaches to working with school pupils which are tested result in, for example, lower chances of truancy or exclusion or a higher rate of applying to university. The aim is to see whether spending on interventions in school has longer term and wider benefits for society.


The interventions which the Education Endowment Foundation (EEF) evaluates have an impact on children’s educational achievements, but can also affect truancy, exclusion, crime, drug use, employability or going on to higher education. This project aims to contribute to maximising the EEF’s investment by assessing these wider outcomes.

For example, if investing in maths teaching increases the numbers of people going on to study STEM subjects at university, this will help to inform decisions on such investment. If intervention that increases self-control reduces truancy, this benefits pupils, schools and society as a whole.

Government departments

Department of Work and Pensions, Department of Education, Home Office

More about the research

The original research looked at whether a new intervention targeted at high risk pupils affected their likelihood of being excluded and arrested. The study team did not find an effect, but given the high risk nature of the group it may be that there was a longer-term benefit. Following the published study protocol, we are conducting a long-term follow-up of study participants.

The Education Endowment Foundation (EEF) will be spending £220m on RCTs in education during the lifetime of the foundation. This is a substantial economic investment during a time of fiscal uncertainty.

The EEF's primary focus is on educational outcomes, but many interventions they are evaluating have been shown by other research to be related to outcomes such as truancy, exclusion, crime, drug use, employability or transition to HE. The aim of this project is to maximise the initial investment through looking at the potential wider impacts these interventions may have had. The basic idea is to conduct low cost follow ups of pupils in EEF trials looking at non‐educational / alternative outcomes via administrative data, in order to see if a given intervention affects these outcomes (regardless of the main effect on educational attainment).

There are several ways in which this work would benefit society. If, for example, investing in improving maths teaching in primary and secondary schools leads to a higher number of successful STEM applications at university, or industry specific apprenticeships, this will help inform decisions about how to increase applications for STEM subjects at FE/HE level. Similarly, if investing in an intervention aimed at improving self‐control leads to less truancy (or other behaviour leading to exclusions) then this would be a substantial benefit to pupils (through increased education), schools (reduced disruption & lower costs associated with exclusion) and wider society (as truancy and exclusion are both risk factors for criminal convictions).

Date approved

June 2017

Research team/lead researcher

Alex Sutherland and Janna van Belle, RAND Europe, and Ingrid Obsuth and Prof Manuel Eisner, University of Cambridge

Page last updated: 24/10/2017