Investigating LID in four test conditions - Do instructions, test formats and item positioning matter?

Hung Tan Ha , Duyen Thi Bich Nguyen , Tim Stoeckel
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Abstract

Recent research has found the Updated Vocabulary Levels Test (UVLT) to have Local Item Dependence (LID), a violation to the central assumption of all Rasch and Item Response Theory models. LID in the UVLT is hypothesized to be caused by a feature of matching tasks: once an option is selected for one target word, it will not be selected for another. It is also hypothesized that if this feature is removed, LID will be reduced. The present study investigated the effects of LID in four test conditions. The first employed the 3:6 matching format of the UVLT with no instruction concerning option recycling. The second used the same format but with instructions encouraging option recycling. The third utilized a multiple-choice format, with items belonging to the same UVLT cluster using identical sets of 6 options and placed adjacently. The fourth also used a multiple-choice, 6-option format, but items sharing identical options were far apart, making them less “local”. Data from 231 Vietnamese EFL learners were analyzed using Rasch unidimensional modelling and Rasch Testlet Modelling (RTM). Person estimates from the unidimensional models and the general dimensions from the RTMs were compared and correlated. Substantial LID was present in Conditions 1–3. Significant distortions of person estimates were found in all test conditions. However, the findings showed that LID had a negligible impact on person ordering in all test conditions.
在四种测试条件下调查LID -说明,测试格式和项目定位重要吗?
最近的研究发现,更新词汇水平测试(UVLT)具有局部项目依赖(LID),这违反了所有Rasch和项目反应理论模型的中心假设。假设UVLT中的LID是由匹配任务的一个特征引起的:一旦为一个目标单词选择了一个选项,就不会为另一个目标单词选择它。也有假设认为,如果这个特征被移除,LID将会减少。本研究考察了四种测试条件下LID的影响。第一个采用了UVLT的3:6匹配格式,没有关于选项回收的说明。第二组使用了相同的格式,但附带了鼓励选项回收的说明。第三个使用多项选择格式,属于同一UVLT集群的项目使用相同的6个选项集并相邻放置。第四个实验也采用了6个选项的多选题形式,但共享相同选项的项目相隔甚远,使其不那么“本地化”。采用Rasch一维模型和Rasch测试模型(RTM)对231名越南英语学习者的数据进行了分析。对单维模型的人员估计与rtm的一般维度进行了比较和关联。在条件1-3中存在大量LID。在所有测试条件下,对人的估计都存在显著的扭曲。然而,研究结果表明,在所有测试条件下,LID对人员订购的影响可以忽略不计。
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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