通过评估两步估计方法和模型上的多维变异来增强努力调节的项目响应理论模型.
Bowen Wang1, Corinne Huggins-Manley1, Huan Kuang2
1University of Florida, Gainesville, USA.
Educational and psychological measurement
|November 18, 2024
概括
在测试中快速猜测可以扭曲结果. 这项研究表明,两步努力调节物品响应理论 (EM-IRT) 模型准确地估计了能力,甚至在各种猜测模式下,也超过了传统方法.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 认知心理学 认知心理学
背景情况:
- 快速猜测行为损害了测试中对项目和人参数的准确估计.
- 公正的能力估计需要快速猜测模式的有效建模.
研究的目的:
- 提出和评估用于分析快速猜测模式的响应数据的替代建模方法.
- 将这些模型的性能与传统的努力调节物件响应理论 (EM-IRT) 模型进行比较.
主要方法:
- 提出并评估了三个替代模型:一个两步EM-IRT模型和两个努力调节的多维模型 (EM-MIRT),具有项目之间和项目内部的结构.
- 将这些模型的参数恢复精度与传统的EM-IRT模型在各种模拟条件下进行比较.
主要成果:
- 两个阶段的EM-IRT和项目间的EM-MIRT模型始终优于传统的EM-IRT模型.
- 两步EM-IRT模型显示出最佳性能,特别是在能力和项目难度参数估计方面.
- 不同的快速猜测模式没有影响两步EM-IRT模型的性能.
结论:
- 两步EM-IRT模型对于在快速猜测响应的情况下估计能力是准确和高效的.
- 项目间EM-MIRT模型提供了一个替代方案,当快速猜测者和非快速猜测者之间没有显著的平均能力差异时.
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