是否因子得分的测量不变?
Mark H C Lai1, Winnie W-Y Tse1
1Department of Psychology, University of Southern California.
Psychological methods
|May 6, 2024
概括
用于整合数据分析的因子得分,即使在校准潜在因子时,也可能不是测量不变的. 这意味着研究人员在使用这些分数进行交叉样本比较时应该谨慎.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
- 数据分析 数据分析
背景情况:
- 综合数据分析 (IDA) 越来越多地使用因子得分作为传统潜变量模型的实际替代方案.
- 确保跨样本因子得分的测量不变性对于有效的IDA至关重要,但方法指南仍然不清楚.
研究的目的:
- 调查因子得分,即使是从校准的潜伏因子中得出的,是否满足IDA的测量不变性要求.
- 证明因子得分的潜在不变性,并将研究结果概括为项目响应理论中的相关得分.
主要方法:
- 理论证明证明了因子得分,特别是基于回归的得分,在哪些条件下表现出非不变性.
- 将分析扩展到收缩得分,如项目响应模型中的预期后期 (EAP) 和最大后期 (MAP) 得分.
主要成果:
- 使用回归方法计算的因数得分通常不是测量不变的,即使底层潜伏因子在相同的度量表上.
- 即使用于计算分数的单个项目显示测量不变,得分不变也可能发生.
- 结论扩展到项目响应模型中的EAP和MAP得分,表明收缩得分存在更广泛的问题.
结论:
- 研究人员在直接使用因子得分进行IAD交叉样本比较时必须谨慎行事.
- 即使是来自解决非不变性的测量模型的因子得分也可能不适合直接交叉样本分析.
- 这些发现突出了因子评分在不同研究或样本的整合性分析中应用的关键限制.
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