Search all our publications and reports here: from Data Insights sharing our research findings in brief, to policy briefings, and many more. Use the filters on the right to help find what you're looking for.
Displaying results 11 to 20 out of 31
This report summarises findings from an analysis examining the extent to which the Pupil Matching Reference numbers (PMRs) within the National Pupil Database (NPD) change over time. The project also investigated which demographic groups of individuals were more or less likely to be affected by these changes. This work was carried out as part of the ECHILD (Education and Child Health Insights from Linked Data) project.
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This research report provides an overview of this community catalyst’s aims and summarises the research approach used to address these objectives.
This Data Insight by Dr Anna Leyland summarises findings from working with the Ministry of Justice & Department for Education linked dataset - England. Using data from the National Pupil Database and the Police National Computer, the research analyses the likelihood of receiving a custodial sentence by 2020 for children who were referred to or received an intervention from child welfare services from ages 5-18.
This Data Insight summarises findings from working with the Ministry of Justice & Department for Education linked dataset - England. Using de-identified data from the National Pupil Database and the Police National Computer, the research looks at the order in which children were in contact with the child welfare service and criminal justice system. This report then estimates the likelihood of having any criminal caution or conviction, including only those cases where children were involved with the child welfare service one year or more before they had any criminal caution or conviction and up until 2020.
This study was summarised by Sara Duru during her eight-week internship at ADR UK, with input and feedback from the Education and Child Health Insights from Linked Data (ECHILD) team who produced the original research. It looks at academic outcomes and special education needs across gestational age, for children born with and without chronic health conditions (e.g. long-term conditions affecting the brain, lungs, or heart).
This Data Insight examines the feasibility of using childhood educational information to develop predictive models of re-offending trajectories. A re-offending trajectory is the pattern by which a person commits crimes throughout their lifetime. This research aimed to explore whether we could use de-identified administrative educational and social care data to potentially identify the characteristics of individuals who may go on to become persistent offenders. The research used the Ministry of Justice and Department for Education linked dataset – England.
This Data Insight investigates changes in school performance and subsequent involvement in the criminal justice system during young adulthood. The research draws on England-wide de-identified data from the National Pupil Database...
This Data Insight draws on the Education and Child Health Insights from Linked Data – England (ECHILD) database. It describes the prevalence of recorded special educational needs (SEN) provision in primary school for children born with a range of abnormalities in England. It also examines the change in proportion of children with recorded special educational needs provision before and after changes to the special educational needs system in England in 2014.
This Data Insight summarises findings from working with the Ministry of Justice & Department for Education linked dataset - England. Using data from the National Pupil Database and the Police National Computer, the research...
This briefing is based on descriptive findings from Dr Katie Hunter's ADR UK Research Fellowship project, which focused on understanding the links between care experience, ethnicity, and involvement with the youth justice system in England. This project used the Ministry of Justice & Department for Education linked dataset - England.
