参考变量的实证选择:比较多指标多因相互作用建模和调节的非线性因子分析
1Institute of Human Resource Management, College of Management, National Sun Yat-sen University.
Psychological methods
|November 13, 2023
概括
确定参考变量对于跨组比较至关重要. 该研究发现,受约束的基线模型和温和的非线性因子分析 (MNLFA) 是在测量不变性测试中选择可靠的参考变量的优越方法.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
- 跨文化心理学 跨文化心理学
背景情况:
- 测量不变性对于统计分析中有效的跨组比较至关重要.
- 在多组确认因子分析 (CFA) 中选择合适的参考变量是一个关键的,但经常被忽视的识别问题.
研究的目的:
- 评估在测量不变性测试中识别可靠参考变量的方法.
- 为了比较受约束与自由基线模型的性能,以及MIMIC交互与MNLFA方法的性能.
主要方法:
- 使用蒙特卡洛模拟来评估不同策略和模型的性能.
- 评估的因素包括非不变变量的数量和类型,隐性平均值/偏差的群体差异以及样本大小.
- 对比受约束和自由基线模型,以及MIMIC交互和MNLFA用于参考变量选择.
主要成果:
- 受约束的基线模型策略在识别参考变量方面普遍优于自由基线模型策略.
- 适度非线性因子分析 (MNLFA) 在大多数条件下在参考变量选择中表现优于MIMIC交互建模.
- 随着样本规模的缩小或群体间潜伏差异的扩大,MNLFA的优势尤为明显.
结论:
- 对于参考变量选择,建议使用受约束的基线模型策略,特别是当变量的比例可能不变时.
- 对于选择参考变量而言,MNLFA是一种比MIMIC交互建模更强大的方法,特别是在具有挑战性的条件下.
- 该研究为研究人员在选择参考变量方面提供了实际指导,以确保准确的跨组比较.
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