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迪里克莱特双响应模型:用于连续有限间隔响应的项目响应模型
Matthias Kloft1, Raphael Hartmann2, Andreas Voss3
1Department of Psychological Methods, University of Marburg, Gutenbergstr. 18, 35032, Marburg, Germany. kloft@uni-marburg.de.
Psychometrika
|July 20, 2023
概括
这项研究引入了迪里克莱特双响应模型 (DDRM) 用于使用双范围滑块测量响应可变性. 新模型捕捉了个体行为变异的差异,解决了标准尺度的局限性.
科学领域:
- 心理测量 心理测量 心理测量
- 心理测量 心理测量
- 项目响应理论.
背景情况:
- 传统的响应尺度 (例如,评分尺度,视觉模拟尺度) 将响应分布缩小为单个值,忽视差异.
- 测量潜在状态或行为中的变异性至关重要,但通常被标准的心理测量工具忽视.
- 间隔响应格式,如双范围滑块 (RS2),为捕捉响应变化提供了一个潜在的解决方案.
研究的目的:
- 为双范围滑块 (RS2) 响应格式开发一个合适的项目响应模型.
- 引入迪里克莱特双响应模型 (DDRM) 作为β响应模型 (BRM) 的扩展.
- 通过模拟和经验研究来评估DDRM的性能和有效性.
主要方法:
- 迪里克莱特双响应模型 (DDRM) 的开发,扩展了β响应模型 (BRM).
- 通过模拟研究评估参数恢复.
- 经验验证通过将BRM和DDRM联合安装到单程滑块 (RS1) 和RS2响应用于外向尺度的实证验证.
主要成果:
- 在模拟中,DDRM表现出良好的整体参数恢复,尽管间隔宽度参数 (反映变化) 显示出比中心趋势参数的恢复更弱.
- 经验分析显示,DDRM的适应性可接受,这表明在行为变化方面有显著的受访者差异.
- BRM和DDRM人参数之间的高相关性表明,RS1和RS2间隔位置测量的有效性在RS1和RS2之间趋同.
结论:
- DDRM有效地模拟了双范围滑块 (RS2) 响应格式,捕捉了响应变化的个体差异.
- 该模型解决了RS2格式中间隔位置和宽度的内在规模相互依赖.
- 对于有兴趣测量潜在状态和行为变异的研究人员来说,DDRM提供了一个有价值的工具.
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