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The formal schools-based education system is a major state intervention aimed at producing a fair distribution of socioeconomic position in later life. However, there is growing evidence that other skills gained outwith formal education may be as important. Our study looked at youth movement attendance and long-term effects on social mobility and self-reported general health in mid-life.
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This report from the Behavioural Insights Team presents results from new analyses of completed randomised experiments that tested educational interventions. The project team, led by Alex Sutherland, linked archived trials data from the Education Endowment Foundation to administrative data, and demonstrates the benefits of this kind of analysis.
This Data Insight outlines preliminary findings on engagement with the Hwb virtual learning environment by pupils in primary, secondary and special school sectors during the academic year 2019/2020.
This project assessed the feasibility of using the MoJ-DfE linked dataset for evaluating early interventions for violence prevention. The project had two stages: 1) to assess the reliability of the data included in the linked dataset; and 2) to investigate whether the linked dataset could be used to generate matched control groups for evaluation purposes.
This pilot project, delivered by Children in Scotland, aims to help the Scottish Centre for Administrative Data Research to explore and understand young people's views about their data to inform their future work.
This feasibility study is part of the Wage and Employment Dynamics (WED) project. It explores the potential to link the Annual Survey of Hours and Earnings (ASHE) dataset to administrative education data.
This policy brief explores educational underachievement according to GCSE attainment outcomes in Northern Ireland.
This report highlights key messages from the ADR England Children & Young People Representative Panel on the potential of the GUIE linked dataset for research on children’s health, education and wellbeing.
This Data Insight explores the Flying Start programme as a geographical profiling tool to anonymously identify vulnerable families. It also explores data driven models as an alternative method of identifying individuals at risk of experiencing adverse events.
This Data Insight examines the factors in the local area that can help a child overcome the negative impacts of poverty by looking at which different socio-economic determinants of a local area are associated with resilience in children.