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Analysis of National Value‐added Datasets to Assess the Impact of Selection on Pupil Performance
Author(s) -
SCHAGEN IAN,
SCHAGEN SANDIE
Publication year - 2003
Publication title -
british educational research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 89
eISSN - 1469-3518
pISSN - 0141-1926
DOI - 10.1080/01411920301841
Subject(s) - pupil , grammar school , grammar , selection (genetic algorithm) , value (mathematics) , mathematics education , test (biology) , psychology , pedagogy , computer science , linguistics , artificial intelligence , paleontology , philosophy , neuroscience , machine learning , biology
The impact of selective education systems on pupil performance has long been a contentious issue, but the advent of national value‐added datasets linking performance across key stages for the majority of pupils in England has enabled detailed analysis to throw some light on the issues. The main finding has been a distinct difference in Key Stage 3 test levels for pupils on the ‘borderline’ between grammar school and secondary modern school, even when prior attainment is taken into account. Possible explanations for this apparent ‘grammar school effect’ are discussed.