Displaying results 1 to 10 out of 14
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.
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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.
In a new Data Insight report, researchers from ADR Wales have investigated how the data collected from pupils about their career plans, when combined with administrative data, can provide insight into their different circumstances and capabilities.
This report details the findings of a patient and public workshop held in partnership with Diabetes UK in April 2021 with people living with type 1 diabetes. The workshop explored participants' views towards the use of personal identifiers for linking diabetes and education data for research.
This report highlights key messages from government and third sector stakeholders on the potential of the newly linked ECHILD Database for research that explores the health and education outcomes of children and young people in England.
This research details grade attainment and change for early and multiple entry to GCSE
mathematics subjects.
This research examines patterns of early entry for various subjects over time, detailing high levels of multiple entry for mathematics subjects.
This study examines socio-demographic and school level predictors of GCSE attainment using data that links the Northern Ireland Census (2011), School Leavers Survey and School Census for the first time.
In this Data Insight researchers at Swansea University Medical School investigate the risk factors for children’s low school readiness (e.g. low vocabulary and communication, low on ability to socialise).
This study from ADR Scotland looks at long term effects of education, specifically stratifying students based on their academic ability through selective schooling.
