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Disability and the stratification of post‐secondary pathways

Evidence from a large administrative linkage

Bibliographic Data

ID12926424
AuthorsRoger Pizarro Milian (0000-0001-5493-7040, University of Toronto, corresponding author), Dylan Reynolds (0000-0002-1007-4797, Cape Breton University), Firrisaa Abdulkarim (York University), Naleni Jacob, Gillian Parekh (0000-0003-0710-7604, York University), Rob Brown (York University), David Walters (0000-0002-5973-1938, University of Guelph)
Year2024
Volume61
Issue3
Pages216-240
Publication date2024-07-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCanadian Review of Sociology/Revue canadienne de sociologie (JOURNAL)
Journal identifiersISSN: 1755-6171 • E-ISSN: 1755-618X
PublisherWiley (PUBLISHER • GB)
DOI10.1111/cars.12475
PMID39010639
OpenAlexW4400695008
LanguageEN
References cited44

Research has linked disability to differential experiences and outcomes for students at multiple levels of education. To date, however, available data sources have prevented comprehensive analyses of the statistical relationship between disability and the pathways traveled by students through Ontario post-secondary education (PSE). Through this study, we examine this topic by leveraging a large multifaceted linkage that brings together rich administrative data from the Toronto District School Board (Grades 9-12), Ontario college and university enrollment records (2009-2018), as well as government student loans and tax records. We use these data to statistically model differences in the PSE pathways traveled by more than 33,000 TDSB students. Our analyses identify statistically significant differences in the likelihood that students with/without disabilities will travel certain PSE pathways. However, such differences shrink drastically once we control for high school-level factors (e.g., academic performance, absenteeism). We elaborate on the importance of these findings for both social stratification researchers and policymakers

Biology · Environmental health · Government (linguistics · Linkage (software · Medical education · Record linkage · Stratification (seeds · Disability Education and Employment · Intergenerational and Educational Inequality Studies · Medicine · Psychology · Retirement, Disability, and Employment

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