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模拟加ROC方法:一种新的方法,通过模拟和ROC分析来生成适合指数的定制切断值
Katharina Groskurth1,2, Nivedita Bhaktha3,4, Clemens M Lechner3
1Graduate School of Economic and Social Sciences, University of Mannheim, Mannheim, Germany. katharina.groskurth@gmx.de.
Behavior research methods
|April 1, 2025
概括
研究人员经常使用固定的截止值来评估结构方程模型的合适性. 本研究引入了一种新的基于模拟的方法,用于生成量身定制的截止值,并为特定的研究环境确定可靠的适合性指数.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
背景情况:
- 结构方程建模 (SEM) 通常使用适合指数的固定的截止值 (例如,CFI ≥ .950) 来评估模型适合性.
- 方法学家警告说,由于对模型,估计和数据特征的敏感性,这些固定的切断值可能无法在各种经验设置中概括.
研究的目的:
- 审查现有的方法,以便为SEM合适指数生成量身定制的截止值.
- 提出一种新的方法,产生量身定制的截止值,并确定特定环境中最可靠的适合性指数.
主要方法:
- 审查四种主要方法,以获得量身定制的切断.
- 关于一种新的模拟与ROC方法的建议,该方法结合了蒙特卡洛模拟和接收器操作特性 (ROC) 分析.
- 开发 R 代码和 Shiny 应用程序进行实际实施.
主要成果:
- 现有的量身定制的切断方法缺乏指导,以选择最合适的适合指数给定设置.
- 拟议的模拟加ROC方法产生量身定制的截止值,并确定最可靠的合适指数.
- 这种方法可以在没有 Monte Carlo 模拟或 ROC 分析的专业知识的情况下使用.
结论:
- 对于SEM适合性指数的固定截止值有局限性,可能不适用于全世界.
- 模拟与ROC方法为评估模型在特定实证环境中的适应性提供了实用和信息化的解决方案.
- 这种方法提高了结构方程建模中模型合适判断的可靠性.
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