NAPLAN Scores as Predictors of Access to Higher Education in Victoria

B. Houng, Moshe Justman
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引用次数: 22

Abstract

This paper examines the extent to which year-9 performance on the National Assessment Program—Language Arts and Numeracy (NAPLAN) predicts access to higher education as determined by subsequent achievement on year-12 Victoria Certificate of Education (VCE) exams. VCE performance is measured via three binary indicators: achieving an Australian tertiary admission rank (ATAR) above 50 ("ATAR50"), above 70 ("ATAR70"), and above 90 ("ATAR90"); and two continuous indicators: ATAR and the Tertiary Entrance Aggregate (TEA). We find that a four-way classification of year-9 NAPLAN results explains 35% of the variance in ATAR50, 37% in ATAR70 and 26% in ATAR90; and NAPLAN scores and basic demographic indicators explain 38% of the variance in ATAR and 42% of the variance in TEA values. Examining the joint effect of year-9 NAPLAN scores and socio-economic status in predicting VCE outcomes, we find that while both are significant, NAPLAN scores have a much stronger effect. At the school level, we find that predictions of success rates based on NAPLAN scores and basic demographic indicators explain over 82% of the variance in school achievement in each of the binary indicators.
NAPLAN分数作为维多利亚州接受高等教育的预测指标
本文研究了9年级在国家评估计划语言艺术和算术(NAPLAN)中的表现在多大程度上预测了12年级维多利亚教育证书(VCE)考试的后续成绩,从而决定了高等教育的机会。VCE成绩通过三个二元指标来衡量:达到澳大利亚高等教育入学排名(ATAR) 50以上(“ATAR50”),70以上(“ATAR70”)和90以上(“ATAR90”);以及两个连续的指标:ATAR和高等教育入学总成绩(TEA)。我们发现,对第9年NAPLAN结果的四向分类解释了35%的ATAR50、37%的ATAR70和26%的ATAR90方差;NAPLAN分数和基本人口统计指标解释了38%的ATAR差异和42%的TEA差异。在考察9年级NAPLAN分数和社会经济地位对VCE结果的联合影响时,我们发现,虽然两者都很显著,但NAPLAN分数的影响要强得多。在学校层面,我们发现基于NAPLAN分数和基本人口指标的成功率预测解释了每个二元指标中超过82%的学校成绩差异。
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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