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Student Performance in Mathematics using PISA-2009 data for Portugal

2016Working paper Open access
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dc.contributor.authorFaria, Susana
dc.contributor.authorPortela, Maria
dc.date.accessioned2016-12-15T17:55:08Z
dc.date.available2016-12-15T17:55:08Z
dc.date.issued2016
dc.description.abstractThis paper is based on Portuguese data from PISA-2009, and it focuses on the measurement of student achievement in mathematics and on the determinants of this achievement both at the student and at the school levels. Data on about 3900 Portuguese students and 194 schools who participated in PISA-2009 were used to accomplish our objectives. Given the hierarchical structure of data, the models adopted for statistical analysis were multilevel models, which can take into account data variability within and among the hierarchical levels. Specifically we were interested in understanding whether the impact of students' variables were similar for students with diferent levels of achievement. As a result, we used a multilevel quantile regression model to analyse the determinants of students' success, where the potential determinants are student and school variables. Our study provides evidence that a stable relation with achievement is expected for some variables (e.g. gender, repetition, or socio economic back- ground), while other variables show varying impacts depending on the students location on the rank of achievement in maths (e.g. immigrant status of students, or some study strategies like control strategies). In spite of schools having a significant impact on students' achievement (without considering any explanatory factors, 30% of the variability found in students' test scores can be explained by the school attended), we found that most school-level variables (except location) were not significant in explaining the school effect.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFARIA, Susana; PORTELA, Maria - Student Performance in Mathematics using PISA-2009 data for Portugal. Working papers: Management. N.º 1 (2016), 30 p.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/21065
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCentre of Mathematics of the University of Minho
dc.relation.publisherversionhttp://econpapers.repec.org/paper/capmpaper/012016.htmpt_PT
dc.subjectMultilevel quantile regression modelspt_PT
dc.subjectMathematics achievementspt_PT
dc.subjectPISA-2009pt_PT
dc.titleStudent Performance in Mathematics using PISA-2009 data for Portugalpt_PT
dc.typeworking paper
dspace.entity.typePublication
oaire.awardTitleCentre of Mathematics of the University of Minho
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FGES%2F68213%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00013%2F2013/PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT
relation.isProjectOfPublication92dde0e4-5ead-4de6-b1dc-1a357058e94b
relation.isProjectOfPublication16a1e344-2544-4083-bbd9-94e8196a1ac5
relation.isProjectOfPublication.latestForDiscovery92dde0e4-5ead-4de6-b1dc-1a357058e94b

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