A bivariate multilevel analysis of Portuguese students

doi:10.1007/978-3-030-58808-3_34

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/73300

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Campo DC	Valor	Idioma
dc.contributor.author	Faria, Susana	por
dc.contributor.author	Salgado, Carla	por
dc.date.accessioned	2021-06-09T08:17:26Z	-
dc.date.issued	2020-09	-
dc.identifier.isbn	978-3-030-58807-6	-
dc.identifier.issn	0302-9743	por
dc.identifier.uri	https://hdl.handle.net/1822/73300	-
dc.description.abstract	In this work, we illustrate how to perform a bivariate multilevel analysis in the complex setting of large-scale assessment surveys. The purpose of this study was to identify a relationship between students' mathematics and science test scores and the characteristics of students and schools themselves. Data on about 7325 Portuguese students and 246 Portuguese schools who participated in PISA-2015 were used to accomplish our objectives. The results obtained by this approach are in line with the existing research: the index of the socioeconomic status of the student, being a male student, the average index of the socioeconomic status of the student in school positively influence the student's performance in mathematics and science. On the other hand, the grade repetition had a negative influence on the performance of the Portuguese student in Mathematics and Science.	por
dc.description.sponsorship	This work was supported by the strategic programme UID-BIA-04050-2019 funded by national funds through the FCT.	por
dc.language.iso	eng	por
dc.publisher	Springer	por
dc.relation	UID-BIA-04050-2019	por
dc.rights	restrictedAccess	por
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	por
dc.subject	Multilevel models	por
dc.subject	Bivariate models	por
dc.subject	PISA data	por
dc.title	A bivariate multilevel analysis of Portuguese students	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-030-58808-3_34	por
oaire.citationStartPage	470	por
oaire.citationEndPage	480	por
oaire.citationVolume	12251	por
dc.identifier.doi	10.1007/978-3-030-58808-3_34	por
dc.date.embargo	10000-01-01	-
dc.identifier.eisbn	978-3-030-58808-3	-
dc.subject.fos	Ciências Naturais::Matemáticas	por
dc.subject.wos	Science & Technology	por
sdum.journal	Lecture Notes in Computer Science	por
sdum.conferencePublication	International Conference on Computational Science and Its Applications	por
sdum.bookTitle	Computational Science and Its Applications – ICCSA 2020	por
oaire.version	AM	por
dc.subject.ods	Educação de qualidade	por
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