引起关注的原因:非线性结构方程模型的测量模型中遗漏的交叉负载
Karina Navarro1, Karin Schermelleh-Engel2
1Faculty of Social Sciences, University of Chile, Av. Ignacio Carrera Pinto 1045, Nunoa 7750000, Santiago, Chile. rdznavarro@uchile.cl.
在结构方程模型 (SEM) 中省略交叉负载会扭曲结果,特别是在非线性模型中. 适当地计算交叉负载对于准确的潜在变量关系至关重要.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
- 量化心理学 量化心理学
背景情况:
- 结构方程模型 (SEM) 中的交叉负载是常见的,但经常被忽视.
- 以前的研究表明,遗漏的交叉负载偏差是线性SEM结果.
- 在非线性SEM中遗漏的交叉负载的影响仍然未被研究.
研究的目的:
- 在线性和非线性SEM中省略交叉负载的后果.
- 分析基于交叉负载的标志和潜在预测器共变的偏差模式.
- 评估对因素负载和结构参数的影响.
主要方法:
- 利用经验数据集和一个小型模拟研究.
- 在线性和非线性SEM中检查的偏差,省略了交叉负载.
- 专注于正负交叉负载和不同潜伏预测器协差级别.
主要成果:
- 忽略理论上合理的交叉负载导致了系统的参数高估和低估.
- 在模型的非线性组件中,偏差更为明显,改变了功能关系.
- 偏差的方向和大小取决于交叉负载的标志和潜在预测器共变.
结论:
- 结合交叉负载,以理论为指导,对于准确的SEM至关重要.
- 忽视交叉负载可以显著扭曲隐性变量之间的线性和非线性关系.
- 由于遗漏的交叉负载而导致的模型错误规范对研究结果产生了关键影响.
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