Uncovering important patterns of subject level school qualifications: a latent variable analysis of multiple cohorts of school data for England and Wales

General Certificates of Secondary Education (GCSEs) are the main school qualifications in England and Wales. Analysing GCSE outcomes is challenging because pupils study many subjects, each subject is awarded an individual grade, and there is no common or compulsory set of subjects. In this study we investigate inequalities in pupils’ highly individualized school GCSE profiles using latent variable models, with data from the Youth Cohort Study of England and Wales (YCS). Four latent educational groups were identified. The identification of two distinctive groups with moderate levels of GCSE outcomes but different GCSE profiles, especially in science subjects, is an important new finding. The latent variable approach remains suitable for the numeric GCSE grading scheme (i.e. grades 1 to 9) first implemented in 2017, because the numerical grades are also discrete ordered categories. The approach is more broadly applicable to other educational systems where there is no compulsory set of subjects.

Authors

Institutions

Publication Details

Journal
Educational Research and Evaluation
Published
2024-11-26
DOI
https://doi.org/10.1080/13803611.2024.2433230
Primary Topic
Education Systems and Policy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering important patterns of subject level school qualifications: a latent variable analysis of multiple cohorts of school data for England and Wales

Chris Playford, Vernon Gayle, Roxanne Connelly
Educational Research and Evaluation
Education Systems and Policy
article

Uncovering important patterns of subject level school qualifications: a latent variable analysis of multiple cohorts of school data for England and Wales

Chris Playford, Vernon Gayle, Roxanne Connelly
article en

Abstract

General Certificates of Secondary Education (GCSEs) are the main school qualifications in England and Wales. Analysing GCSE outcomes is challenging because pupils study many subjects, each subject is awarded an individual grade, and there is no common or compulsory set of subjects. In this study we investigate inequalities in pupils’ highly individualized school GCSE profiles using latent variable models, with data from the Youth Cohort Study of England and Wales (YCS). Four latent educational groups were identified. The identification of two distinctive groups with moderate levels of GCSE outcomes but different GCSE profiles, especially in science subjects, is an important new finding. The latent variable approach remains suitable for the numeric GCSE grading scheme (i.e. grades 1 to 9) first implemented in 2017, because the numerical grades are also discrete ordered categories. The approach is more broadly applicable to other educational systems where there is no compulsory set of subjects.

Educational Research and EvaluationVol. 30(3-4)
University of Exeter (GB), University of Edinburgh (GB)
Economic and Social Research Council
Quality Education
Openalex Percentile: Top 71%
Education Systems and Policy
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.