在MIMIC交互建模中选择参考变量的代策略
Cheng-Hsien Li1, Anne Traynor2
1Institute of Human Resource Management, College of Management, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung, 80424, Taiwan. lichengh@mail.nsysu.edu.tw.
Behavior research methods
|March 4, 2026
概括
本研究介绍了一种代的搜索策略,用于在多指标多原因 (MIMIC) 相互作用模型中选择参考变量. 新方法提高了测量不变性测试的准确性,特别是在更高的非不变性水平下.
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:
- 测量不变性测试对于检查跨组潜在差异至关重要.
- 选择参考观察变量是多组确认因子分析 (MGCFA) 的一个关键限制.
- 在MIMIC交互模型中选择参考变量的现有重复方法存在局限性.
研究的目的:
- 提出和评估MIMIC交互模型中参考变量选择的代搜索策略.
- 提高参考变量识别的准确性,特别是在增加不变性条件下.
- 将代策略与重复策略的性能进行比较.
主要方法:
- 使用蒙特卡洛模拟设计.
- 研究了非变量比例,非变量大小,潜在变量差异和样本大小的影响.
- 使用选择真正不变观测变量的准确率来评估性能.
主要成果:
- 提出的代策略在识别可信的参考变量方面普遍优于重复策略.
- 代策略在具有高非不变率或大潜变量差异的条件中显示出明显的优势.
- 代方法被认为是参考变量选择的可靠和实用的方法.
结论:
- 代搜索策略为MIMIC交互模型中的参考变量选择提供了更高的准确性.
- 这种方法在处理显著水平的测量不变性时尤其有利.
- 一个说明性的例子展示了代策略的实际应用.
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