Is Canada really an education superpower? The impact of exclusions and non-response on results from PISA 2015
Jake Anders (),
Nikki Shure and
Additional contact information
Silvan Has: University College London
John Jerrim: University College London
Nikki Shure: University College London
Laura Zieger: University College London
No 19-11, DoQSS Working Papers from Department of Quantitative Social Science - UCL Institute of Education, University College London
The purpose of large-scale international assessments is to compare educational achievement across countries. For such cross-national comparisons to be meaningful, the students who take the test must be representative of the whole population of interest. In this paper we consider whether this is the case for Canada, a country widely recognised as high-performing in the Programme for International Student Assessment (PISA). Our analysis illustrates how the PISA 2015 data for Canada suffers from a much higher rate of student exclusions, school non-response and pupil non-response than other high-performing countries such as Finland, Estonia, Japan and South Korea. We discuss how this emerges from differences in how children with Special Educational Needs are defined and rules for their inclusion in the study, variation in school response rates and the comparatively high rates of pupil test absence in Canada. The paper concludes by investigating how Canadaâ€™s PISA 2015 rank would change under different assumptions about how the non-participating students would have performed were they to have taken the PISA test.
New Economics Papers: this item is included in nep-ure
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:qss:dqsswp:1911
Access Statistics for this paper
More papers in DoQSS Working Papers from Department of Quantitative Social Science - UCL Institute of Education, University College London Department of Quantitative Social Science. UCL IOE, 20 Bedford Way London WC1H 0AL. Contact information at EDIRC.
Bibliographic data for series maintained by Bilal Nasim ().