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一个参数的物流模型可能是正确的,对一个单维测量仪器的概率为零:人们如何错误地去除不符合模型的物品
Tenko Raykov1, Bingsheng Zhang2
1Michigan State University, East Lansing, MI, USA.
Educational and psychological measurement
|August 11, 2025
概括
一参数物流 (1PL) 模型或拉什模型可能不适合单维尺度. 删除不符合这些模型的项目可能会导致误导性的能力估计和在教育和行为研究中增加错误.
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
- 行为研究 行为研究
背景情况:
- 一参数后勤 (1PL) 模型和拉什模型是心理测量的基础,用于分析单维尺度.
- 评估这些模型对二分项的概率是对尺度有效性至关重要的.
研究的目的:
- 为了研究1PL或拉什模型对二元项的单维尺度的真实性的概率.
- 探索删除不符合这些模型的物品的后果.
主要方法:
- 对1PL/Rasch模型对一维尺度的坚持概率的分析.
- 模拟研究使用大型数据集来检查项目消除效应.
主要成果:
- 1PL或拉什模型正确的概率即使在单维尺度上也可能为零.
- 删除不符合这些模型的项目可能会导致严重误导能力估计.
- 消除项目的结果会导致潜在特征的标准错误和预测错误增加.
结论:
- 研究人员必须谨慎地删除仅基于1PL/Rasch模型合适的项目.
- 误导能力估计可能对教育和行为研究结果产生重大影响.
- 为了确保准确的测量,可能需要采用其他尺度精细化的方法.
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