IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Educational Measurement-Issues and Practice Pub Date : 2024-11-10 DOI:10.1111/emip.12640
Jung Yeon Park, Sean Joo, Zikun Li, Hyejin Yoon
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摘要

本研究探讨了 2018 年国际学生评估项目(PISA)中基于学生主要语言状况的潜在评估偏差。具体而言,研究比较了美国多语种(MLs)和非多语种(non-MLs)学生在三个认知领域(阅读、数学和科学)的回答时间和得分情况。差异项目功能(DIF)分析表明,7%-14% 的项目在两组学生的计分回答中表现出与 DIF 相关的问题,这与国际学生评估项目(PISA)技术报告的结果一致。在不同认知水平的学生中,多语种学生通常比非多语种学生花费更多的时间在测试上,但差异反应时间(DRT)功能发现,在认知水平相似的学生中,有 7-10%的项目存在显著的时间差异。值得注意的是,存在 DIF 和 DRT 问题的题目显示出有限的重叠,这表明学生在测评中遇到困难的原因多种多样。建议测试开发人员和教师对项目特征进行更深入的研究,以便更好地了解这些细微差别。
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Measurement Invariance for Multilingual Learners Using Item Response and Response Time in PISA 2018

This study examines potential assessment bias based on students' primary language status in PISA 2018. Specifically, multilingual (MLs) and nonmultilingual (non-MLs) students in the United States are compared with regard to their response time as well as scored responses across three cognitive domains (reading, mathematics, and science). Differential item functioning (DIF) analysis reveals that 7–14% of items exhibit DIF-related problems in scored responses between the two groups, aligning with PISA technical report results. While MLs generally spend more time on the test than non-MLs across cognitive levels, differential response time (DRT) functioning identifies significant time differences in 7–10% of items for students with similar cognitive levels. It was noticeable that items with DIF and DRT issues show limited overlap, suggesting diverse reasons for student struggles in the assessment. A deeper examination of item characteristics is recommended for test developers and teachers to gain a better understanding of these nuances.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
期刊最新文献
Issue Information Editorial ITEMS Corner: Next Chapter of ITEMS Digital Module 37: Introduction to Item Response Tree (IRTree) Models Issue Cover
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