Exploring the relationship between attitudes toward science and PISA scientific performance

被引:9
作者
Bidegain, Gorka [1 ]
Lukas Mujika, Jose Francisco [2 ]
机构
[1] Univ Basque Country, Dept Matemat Aplicadas, Bilbao, Spain
[2] Univ Basque Country, Dept Metodos & Diagnost Educ, Donostia San Sebastian, Spain
来源
REVISTA DE PSICODIDACTICA | 2020年 / 25卷 / 01期
关键词
Program for International Student Assessment (PISA); Science performance; Attitudes; Quantile regression;
D O I
10.1016/j.psicod.2019.08.003
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The Program for International Student Assessment (PISA) 2006 and PISA 2015 is focused on students' competency in science, providing wide data banks for the analysis of the interaction between science performance and attitudes toward science. The few attempts to study this relationship in other assessment studies suggest some positive correlations on the individual level and some unexpected negative correlations and a lack of scalar invariance across countries. The aim of this study is to contribute to the exploration of the generalizability of this relationship across countries and regions within nations. For this, the PISA 2015 data are analyzed using Ordinary Least Square and Quantile regression modelling techniques together with bivariate correlation matrix analysis. The relationship patterns between attitudes -such as self-efficacy, interest in science, participation in science activities, and enjoyment of science-and performance in science are explored at different scales; across 72 PISA participating countries and across 17 regions in Spain. Across countries, the relationship is unexpectedly negative for all attitudes, although high quantiles show a much less pronounced pattern. Across regions, only self-efficacy is significantly and positively correlated with science performance. Overall, positive non-linear relationships are distinguished for high performance values. The results of this study suggest the need of further research using non-parametric quantile regression modeling, and exploring attitudinal indices scaling when investigating potential universal/invariant models. This research should try to justify the comparison across countries/regions using aggregated scores, while incorporating differences in cultural, educational, and social influences on attitudes toward science. (C) 2019 Universidad de Pais Vasco. Published by Elsevier Espana, S.L.U. All rights reserved.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 41 条
  • [1] [Anonymous], 2006, Evolution of student interest in science and technology studies policy report: Executive Summary
  • [2] [Anonymous], REV EDUCACION
  • [3] [Anonymous], 2017, PISA 2015 Assessment and analytical framework: Science, reading, mathematic and financial literacy, DOI 10.1787/9789264281820-3-en
  • [4] [Anonymous], 2012, PISA in Focus
  • [5] Bandura A., 1977, SOCIAL LEARNING THEO
  • [6] Identifying Meta-Clusters of Students' Interest in Science and Their Change with Age
    Baram-Tsabari, Ayelet
    Yarden, Anat
    [J]. JOURNAL OF RESEARCH IN SCIENCE TEACHING, 2009, 46 (09) : 999 - 1022
  • [7] Commonsense conceptions of emergent processes: Why some misconceptions are robust
    Chi, MTH
    [J]. JOURNAL OF THE LEARNING SCIENCES, 2005, 14 (02) : 161 - 199
  • [8] Chi MTH, 2000, ADV INSTR P, V5, P161
  • [9] Dolin J., 2011, SCI ED EUROPE NATL P, P103, DOI [10.2797/7170, DOI 10.2797/7170]
  • [10] Confidence Interval or P-Value? Part 4 of a Series on Evaluation of Scientific Publications
    du Prel, Jean-Baptist
    Hommel, Gerhard
    Roehrig, Bernd
    Blettner, Maria
    [J]. DEUTSCHES ARZTEBLATT INTERNATIONAL, 2009, 106 (19): : 335 - 339