考试脱离的项目和个人层面因素:低风险背景下的多层次建模

Róbert Csányi , Gyöngyvér Molnár
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引用次数: 0

摘要

本研究探讨了影响考试脱离的项目和个人层面的因素。本研究利用计算机测量复杂问题的解决能力,以消除在低风险背景下事实性知识对大学一年级学生考试成绩的影响。由于数据具有层次结构,因此采用多层次建模来确定影响考试脱离的项目和个人因素。结果表明,项目位置和项目难度对考试脱离有显著影响。在考试过程中出现较晚的项目以及难度较大的项目出现脱离反应的概率较高。母亲的教育程度对脱离答题的比例没有明显影响,而女性脱离答题的比例较高。在入学分数较低、工作记忆能力较低和自我报告努力程度(SRE)较低的学生中,脱离反应的比例也更高。总之,研究结果表明,学习能力水平与考试脱离之间存在一定关系,这决定了如何对待脱离答题。
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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Item- and person-level factors in test-taking disengagement: Multilevel modelling in a low-stakes context

The present study examines item- and person-level factors that influence test-taking disengagement. Computer-based measurement of complex problem-solving was used to eliminate the effect of factual knowledge on test performance among first-year university students in a low-stakes context. Due to the hierarchical structure of the data, multilevel modeling was used to identify item- and person-level factors that influence test-taking disengagement. Results suggested that item position and item difficulty have a significant effect on test-taking disengagement. Items presented later in test administration as well as more difficult items had a higher probability of disengaged responses. Mother's education had no significant effect on the rate of disengaged responses, while a higher proportion of disengaged responses was recorded among women. The percentage of disengaged responses was also greater among those with lower entrance scores, lower working memory capacity and lower self-reported effort (SRE). To sum up, the results suggest a relationship between the level of academic ability and test-taking disengagement, which determines how disengaged responses are treated.

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来源期刊
CiteScore
8.90
自引率
0.00%
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审稿时长
69 days
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