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

Título:	A bivariate multilevel analysis of Portuguese students
Autor(es):	Faria, Susana Salgado, Carla
Palavras-chave:	Multilevel models Bivariate models PISA data
Data:	Set-2020
Editora:	Springer
Revista:	Lecture Notes in Computer Science
Resumo(s):	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.
Tipo:	Artigo em ata de conferência
URI:	https://hdl.handle.net/1822/73300
ISBN:	978-3-030-58807-6
e-ISBN:	978-3-030-58808-3
DOI:	10.1007/978-3-030-58808-3_34
ISSN:	0302-9743
Versão da editora:	https://link.springer.com/chapter/10.1007/978-3-030-58808-3_34
Arbitragem científica:	yes
Acesso:	Acesso restrito UMinho
Aparece nas coleções:	CBMA - Livros e Capítulos de Livros/Books and Books Chapters