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Robust Estimation for Response Time Modeling
Journal of Educational Measurement ( IF 1.4 ) Pub Date : 2020-11-04 , DOI: 10.1111/jedm.12286
Maxwell Hong 1 , Daniella A. Rebouças 1 , Ying Cheng 1
Affiliation  

Response time has started to play an increasingly important role in educational and psychological testing, which prompts many response time models to be proposed in recent years. However, response time modeling can be adversely impacted by aberrant response behavior. For example, test speededness can cause response time to certain items to deviate from the hypothesized model. In this article, we introduce a robust estimation approach when estimating a respondent's working speed under the log-normal model by down-weighting aberrant response times. A simulation study is carried out to compare the performance of two weighting schemes and a real data example is provided to showcase the use of the new robust estimation method. Limitations and future directions are also discussed.

中文翻译:

响应时间建模的稳健估计

响应时间开始在教育和心理测试中发挥越来越重要的作用,这促使近年来提出了许多响应时间模型。但是,响应时间建模可能会受到异常响应行为的不利影响。例如,测试速度可能会导致对某些项目的响应时间偏离假设模型。在本文中,我们介绍了一种稳健的估计方法,在对数正态模型下通过降低异常响应时间的权重来估计受访者的工作速度。进行了模拟研究以比较两种加权方案的性能,并提供了一个真实的数据示例来展示新的稳健估计方法的使用。还讨论了局限性和未来方向。
更新日期:2020-11-04
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