与表现较差的同龄人相比,学校社会经济地位对表现优秀的学生的影响更小吗?2018年澳大利亚PISA的分位数回归分析。

IF 2.6 Q1 EDUCATION & EDUCATIONAL RESEARCH
Large-Scale Assessments in Education Pub Date : 2022-01-01 Epub Date: 2022-11-11 DOI:10.1186/s40536-022-00137-5
Laura B Perry, Argun Saatcioglu, Roslyn Arlin Mickelson
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引用次数: 3

摘要

背景:虽然学校社会经济构成与学生学业成绩之间的关系已经确立,但关于差异效应的知识并不广泛。特别是,对于学习成绩不同的学生,这种关系是否会有所不同,我们知之甚少。我们研究了学校社会经济成分对学业成绩的影响,对表现优异的学生比表现一般和表现不佳的学生是更强还是更弱。澳大利亚是一个理论上有趣的案例研究,因为与其他经济发达国家相比,它的学校社会经济隔离程度很高。方法:我们使用澳大利亚PISA 2018样本(N = 14,273名15岁学生)的数据进行分位数回归分析。我们研究了学校社会经济地位(学校SES)对学生阅读、数学和科学素养表现的影响。结果:我们发现学校的社会经济构成效应是实质性的,并且对所有学生都是相似的,无论他们的学习成绩水平如何。研究结果还表明,学校社会经济地位比学生社会经济地位对所有学生的表现都有更强的预测作用,而且在成绩较低的五分位数中,学校社会经济地位的影响相对于学生社会经济地位的影响更大。结论:这些结果表明学校社会经济地位对不同学习成绩学生的阅读、数学或科学素养没有差异影响。这种关系对于表现优秀的学生和表现不佳的同龄人来说同样是强烈而积极的。由于学校社会经济地位是所有学生的一个强有力的预测指标,无论他们的学习成绩水平如何,我们认为,教育成果的公平可以通过促进社会经济混合而不是隔离学校的政策和结构来实现。我们还呼吁进行更多的研究,以确定和理解学校社会经济构成对一系列学术和非认知学生成果的可能差异影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Does school SES matter less for high-performing students than for their lower-performing peers? A quantile regression analysis of PISA 2018 Australia.

Does school SES matter less for high-performing students than for their lower-performing peers? A quantile regression analysis of PISA 2018 Australia.

Does school SES matter less for high-performing students than for their lower-performing peers? A quantile regression analysis of PISA 2018 Australia.

Does school SES matter less for high-performing students than for their lower-performing peers? A quantile regression analysis of PISA 2018 Australia.

Background: While the relationship between school socioeconomic composition and student academic outcomes is well established, knowledge about differential effects is not extensive. In particular, little is known whether the relationship differs for students with varying levels of academic performance. We examined whether the school socioeconomic composition effect on academic achievement is stronger or weaker for high-performing students than for average- and low-performing students. Australia is a theoretically interesting case study as it has high levels of school socioeconomic segregation compared to other economically developed countries.

Methods: We conducted quantile regression analysis using data from the Australia PISA 2018 sample (N = 14,273 15-year-old students). We examined the effect of school socioeconomic status (school SES) on student performance in reading, mathematical and scientific literacy.

Results: We found that the school socioeconomic composition effect is substantial and is similar for all students, regardless of their level of academic performance. The findings also show that school SES is a stronger predictor than student SES for all student performance quintiles, and the size of the school SES effect relative to the size of student SES effect is larger in lower performance quintiles.

Conclusions: These results indicate no differential effect of school SES on reading, mathematical or scientific literacy for students of varying levels of academic performance. The relationship is similarly strong and positive for high-performing students as it is for their lower performing peers. As school SES is a strong predictor for all students regardless of their level of academic performance, we argue that equity of educational outcomes can be best achieved by policies and structures that promote socioeconomically mixed rather than segregated schools. We also call for more research that seeks to identify and understand possible differential effects of school socioeconomic composition on a range of academic and non-cognitive student outcomes.

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来源期刊
Large-Scale Assessments in Education
Large-Scale Assessments in Education Social Sciences-Education
CiteScore
4.30
自引率
6.50%
发文量
16
审稿时长
13 weeks
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