Building the Education Outcomes Linkage (EOL) 2018/19-2021/22 - Northern Ireland

ObjectivesTo produce an annonymised research ready longitudinal relational database of schools’ data for pupils aged 14 and over in Northern Ireland to be used to inform policy development and evaluation and increase knowledge of the factors that influence educational achievements and post 16 pathways chosen by young people. MethodsThe data for the EOL was drawn from databases held by the Department of Education in Northern Ireland. These include the school census (including attendance data); the school leavers survey; and the exams database all of which were linked by an annonymised ID. The school census and exams database acted as the spine for linkage. Only pupils present in both the school census in at least one of the academic years 2018/19 - 2021/22, and with an exam outcome for the corresponding year(s), are included in the EOL. Where available/applicable attendance and school leavers data were linked to the spine. ResultsOur linkage criteria produced a final dataset for n=122,273 unique individuals covering four academic years, including the period of exposure to Covid-19. We will report the number of records in each database, along with the approaches undertaken to prepare the data for linkage, the issues encountered and how these were resolved. We will give an overview of the Quality Assurance approach we undertook to ensure the data was accurate, reliable and representative. We will demonstrate the guidance document for researchers which includes information on the data sources that contribute to the EOL, descriptions of the variables and caveats that are essential for the understanding of the EOL structure and sample. We will provide step by step guidance on how to access the EOL. ConclusionThe EOL dataset was released in November 2024 as a flagship dataset, accessible through the NISRA Secure Environment or the ONS Secure Research Service. We will discuss the current and potential use of the EOL, and its value in understanding and enhancing educational and employment outcomes over time.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i3.3018
Primary Topic
Education in Diverse Contexts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building the Education Outcomes Linkage (EOL) 2018/19-2021/22 - Northern Ireland

N. McCullough, Eoin Norris, Megan McAlister, Shauna Dunlop
International Journal for Population Data Science
Education in Diverse Contexts
article

Building the Education Outcomes Linkage (EOL) 2018/19-2021/22 - Northern Ireland

N. McCullough, Eoin Norris, Megan McAlister, Shauna Dunlop
article en

Abstract

ObjectivesTo produce an annonymised research ready longitudinal relational database of schools’ data for pupils aged 14 and over in Northern Ireland to be used to inform policy development and evaluation and increase knowledge of the factors that influence educational achievements and post 16 pathways chosen by young people. MethodsThe data for the EOL was drawn from databases held by the Department of Education in Northern Ireland. These include the school census (including attendance data); the school leavers survey; and the exams database all of which were linked by an annonymised ID. The school census and exams database acted as the spine for linkage. Only pupils present in both the school census in at least one of the academic years 2018/19 - 2021/22, and with an exam outcome for the corresponding year(s), are included in the EOL. Where available/applicable attendance and school leavers data were linked to the spine. ResultsOur linkage criteria produced a final dataset for n=122,273 unique individuals covering four academic years, including the period of exposure to Covid-19. We will report the number of records in each database, along with the approaches undertaken to prepare the data for linkage, the issues encountered and how these were resolved. We will give an overview of the Quality Assurance approach we undertook to ensure the data was accurate, reliable and representative. We will demonstrate the guidance document for researchers which includes information on the data sources that contribute to the EOL, descriptions of the variables and caveats that are essential for the understanding of the EOL structure and sample. We will provide step by step guidance on how to access the EOL. ConclusionThe EOL dataset was released in November 2024 as a flagship dataset, accessible through the NISRA Secure Environment or the ONS Secure Research Service. We will discuss the current and potential use of the EOL, and its value in understanding and enhancing educational and employment outcomes over time.

International Journal for Population Data ScienceVol. 10(4)
Northern Ireland Statistics and Research Agency (GB)
Openalex Percentile: Top 75%
Education in Diverse Contexts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Building the Education Outcomes Linkage (EOL) 2018/19-2021/22 - Northern Ireland — N. McCullough, Eoin Norris, et al. · International Journal for Population Data Science (2025) | TGRS Research Map | TGRS