通过对响应时间的分析来识别质量响应:在RR中的RT截止函数
Georgios Sideridis1,2, Mohammed Alghamdi3
1Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.
Frontiers in psychology
|November 26, 2024
概括
本研究引入了一个R函数,使用累积比例正确 (CUMP) 方法来确定响应时间值,以更好地区分参与测试的受试者和不参与的受试者,以获得更好的有效性.
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
- 数据科学数据科学数据科学
背景情况:
- 评估中的响应时间数据可以表明参与者的参与程度.
- 区分深思熟虑的参与和快速猜测对于准确解释测试成绩至关重要.
- 现有的方法可能无法完全整合响应时间和准确性来识别参与模式.
研究的目的:
- 开发和验证用于分析响应时间数据的R函数.
- 为区分参与和不参与的测试行为建立值.
- 为了可视化相对于样本性能的响应时间概况.
主要方法:
- 使用正确的累积比例 (CUMP) 方法来估计项目特定的时间值.
- 开发了一个R函数,包含CUMP和响应时间概况 (平均+1SD).
- 将该函数应用于沙特阿拉伯学生的阅读理解数据 (PIRLS 2021).
主要成果:
- 开发的RTcutoff函数有效地识别了可变的参与模式.
- 结果强调了评估个人得分和测试有效性的必要性.
- 证明了该函数在区分深思熟虑的参与与快速响应或猜测方面的实用性.
结论:
- 该RTcutoff功能对于提高教育评估中的测量精度至关重要.
- 整合响应时间和准确性可以提高个人评分解释的有效性.
- CUMP方法提供了一种可靠的方法来确定参与门.
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