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A Bivariate Multilevel Analysis of Portuguese Students

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 01 Jan 2020 Portugal English Publisher:Springer International Publishing

Authors: Susana Faria; Carla Salgado;

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

handle: 1822/73300

A Bivariate Multilevel Analysis of Portuguese Students

- Summary
- Subjects
- Metrics

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 and the average index of the socioeconomic status of the student in school, positively influence the students’ 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.

Country

Portugal

Related Organizations

University of Minho
Portugal

Keywords

Educação de qualidade, Multilevel models, Bivariate models, Science & Technology, PISA data, Ciências Naturais::Matemáticas

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