Predicting cross-national sex differences in large-scale assessments of students' reading literacy, mathematics, and science achievement: Evidence from PIRLS and TIMSS

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sandra Oberleiter, Jonathan Fries, Laura S. Schock, Benedikt Steininger, Jakob Pietschnig
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Abstract

Causes of sex differences in educational achievement have been controversially discussed in the extant literature. It has been speculated that differing prosperity and equality of opportunities may be linked to these differences, but conclusive empirical evidence for such effects is unavailable. Here, we present evidence for sex differences in international large-scale assessments of reading literacy, mathematics, and science across 16 cohorts from 1995 to 2019. Our analyses of PIRLS and TIMSS reading literacy, mathematics, and science achievement data (N = 3,999,062; 90 countries) showed consistent advantages for girls in reading literacy (d range: −0.02 to 0.66). For mathematics and science this pattern was less unambiguous, yielding non-trivial effects in both directions (d ranges: −0.44 to 0.36 and − 0.50 to 0.46, respectively). Sex differences in all three domains were more pronounced in more egalitarian countries (β range 0.16 to 0.20). Higher national prosperity and educational investment predicted larger sex differences favoring fourth grade boys in mathematics and science (β range: 0.07 to 0.39) and became less meaningful with increasing student ages (β range for eighth graders: 0.17 to 0.21). In all, our findings suggest that influences of economic macro-indicators on sex differences in educational achievement are differentiated according to subject, indicating larger sex differences in mathematics and science in more egalitarian and prosperous countries.

预测学生阅读能力、数学和科学成就大规模评估中的跨国性别差异:来自PIRLS和TIMSS的证据
在现存的文献中,对教育成就中性别差异的原因进行了有争议的讨论。据推测,不同的繁荣程度和平等机会可能与这些差异有关,但没有确凿的经验证据证明这种影响。在这里,我们提供了1995年至2019年在16个队列中对阅读能力、数学和科学的国际大规模评估中的性别差异的证据。我们对PIRLS和TIMSS阅读素养、数学和科学成就数据的分析(N = 3,999,062;90个国家)在阅读能力方面显示出女孩的一贯优势(d范围:- 0.02至0.66)。对于数学和科学,这种模式就不那么明确了,在两个方向上都产生了重要的影响(d范围分别为- 0.44至0.36和- 0.50至0.46)。在更平等的国家,这三个领域的性别差异更为明显(β范围为0.16至0.20)。较高的国家繁荣程度和教育投资预示着四年级男生在数学和科学方面更大的性别差异(β范围:0.07至0.39),随着学生年龄的增加而变得不那么有意义(八年级的β范围:0.17至0.21)。总之,我们的研究结果表明,经济宏观指标对教育成就性别差异的影响根据学科而有所不同,表明在更平等和更繁荣的国家,数学和科学方面的性别差异更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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