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Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of Mathematics

机译:使用任务时间变量提高能力估计的精度:PISA 2012基于计算机的数学评估的见解

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Log-file data from computer-based assessments can provide useful collateral information for estimating student abilities. In turn, this can improve traditional approaches that only consider response accuracy. Based on the amounts of time students spent on 10 mathematics items from the PISA 2012, this study evaluated the overall changes in and measurement precision of ability estimates and explored country-level heterogeneity when combining item responses and time-on-task measurements using a joint framework. Our findings suggest a notable increase in precision with the incorporation of response times and indicate differences between countries in how respondents approached items as well as in their response processes. Results also showed that additional information could be captured through differences in the modeling structure when response times were included. However, such information may not reflect the testing objective.
机译:基于计算机的评估的日志文件数据可以提供用于估算学生能力的有用的抵押信息。 反过来,这可以改善只考虑响应准确性的传统方法。 根据从PISA 2012上花费10个数学项目所花费的时间,这项研究评估了能力估算的总体变化和测量精度,并在使用关节结合物品响应和任务时间测量时探索的国家级异质性 框架。 我们的研究结果表明,在响应时间内纳入精确度并指示受访者如何在其响应过程中表明各国之间的差异。 结果还表明,当包括响应时间时,可以通过建模结构的差异来捕获附加信息。 但是,这些信息可能无法反映测试目标。

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