Wood, M. orcid.org/0000-0003-1882-2355, Warburton, M. orcid.org/0000-0001-5309-4424, Denny, S. et al. (1 more author) (2024) Improve school attendance: New collation of routinely collected data shows where early support is needed. Report. University of Leeds
Abstract
Persistent school absence has nearly doubled from pre-pandemic levels to affect around one in four children. Absence is associated with poor academic outcomes, long-term physical and mental illness, later financial difficulties, and crime. Drawing on routinely collected data from public services in Bradford, we found that absence rates vary widely across neighbourhoods, and that it was possible to identify children at risk of absenteeism at an early age. We recommend taking an early, place-based and system-wide approach to reduce school absences.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Authors 2024, except front page image © Shutterstock, rights reserved. Authors content licensed under Creative Commons (CC-BY 4.0) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 May 2024 07:46 |
Last Modified: | 14 May 2024 07:48 |
Status: | Published |
Publisher: | University of Leeds |
Identification Number: | 10.48785/100/265 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212506 |
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Filename: PolicyLeeds-PolicyNote11_Improve-school-attendance.pdf
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