将测量不变的违规与响应时间的群体差异联系起来
Dylan Molenaar1, Remco Feskens2
1Department of Psychology, University of Amsterdam.
Psychological methods
|April 4, 2024
概括
本研究引入了一种新的方法,通过分析物品响应时间来解释差异物品功能 (DIF). 该方法使用潜在响应过程因子来考虑得分差异,增强统计模型中的测量不变性.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
- 教育测量教育的测量
背景情况:
- 测量不变性对于潜变量回归至关重要,确保测量参数在背景变量组之间一致.
- 差异性项目功能 (DIF) 代表测量不变性的项目特定违规行为,需要对有效结果进行实质性解释.
- 之前的研究集中在解释DIF的共变量上,但与响应过程的直接联系仍未得到充分探索.
研究的目的:
- 提出和评估一种新的建模方法,以统计解释差异性项目功能 (DIF).
- 调查物品响应时间的差异是否可以解释观察到的DIF.
- 运行一个潜在响应过程因子,以测试其对DIF的解释能力.
主要方法:
- 开发了一个统计模型,将项目响应时间与项目分数联系起来.
- 运行了一个潜在响应过程因子,以捕捉响应速度的个体差异.
- 通过模拟研究研究模型属性,并将其应用于现实世界数据集.
主要成果:
- 拟议的模型证明了使用项目响应时间来统计解释差异性项目功能 (DIF) 的能力.
- 发现隐性响应过程因子的项目特定群体差异解释了观察到的项目得分差异.
- 模拟和真实数据分析支持了建模方法的实用性.
结论:
- 物品响应时间的差异,通过潜在响应过程因子运行,可以统计解释差异物品功能 (DIF).
- 这种方法提高了对测量不变性违规行为的理解和解释.
- 这些发现有助于在潜变量建模中获得更理论有效和更有意义的结果.
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