Journal article
Student Achievement Trajectories in Ontario: Creating and validating a province-wide, multi-cohort and longitudinal database
Abstract
Introduction: Longitudinal data that tracks student achievement over many years are crucial for understanding children's learning and for guiding effective policies and interventions. Despite being Canada's most populous province, Ontario lacks such large-scale and longitudinal data on student learning. Linking datasets across cohorts requires rigorous linkage protocols, flexible handling of complex cohort structures, methods to validate linked …
Authors
Sinclair J; Davies S; Janus M
Journal
International Journal for Population Data Science, Vol. 8, No. 1,
Publisher
Swansea University
DOI
10.23889/ijpds.v8i1.1843
ISSN
2399-4908