区分属性,项目位置和措辞效应,通过同源和tau等效确认因子分析模型进行区分
Karl Schweizer1, Xuezhu Ren2, Tengfei Wang3
1Goethe University Frankfurt, Germany.
Educational and psychological measurement
|March 16, 2026
概括
确认因素分析模型在检测方法效应的能力上有所不同. 建议对项目位置和措辞效应进行预先选数据,以确保准确的分析结果.
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:
- 确认因素分析 (CFA) 被广泛用于评估测量模型.
- 方法效应,如项目位置和措辞,可以影响观察到的变量.
- 了解CFA模型如何处理这些影响对于有效的解释至关重要.
研究的目的:
- 调查不同CFA模型的能力,以区分常见的系统变化和属性变化.
- 评估项目位置和措辞对模型合适性的影响.
- 为了比较同源性,tau等效和双因素tau模型在检测方法效应方面的性能.
主要方法:
- 模拟数据是通过不断的属性变化和越来越多的项目位置或措辞效应生成的.
- 对模拟数据应用了先天性,tau-equivalent和双因素tau模型.
- 模型匹配指数被用来评估方法效应的歧视.
主要成果:
- 同源模型没有显示任何歧视,始终表明不管方法效应如何,都很适合.
- 图等价模型显示了负歧视,随着方法效应的增加,从合适转向不合适.
- 双因素tau模型表现出正面歧视,成功识别了方法效应.
结论:
- 不同的CFA模型对方法效应具有不同的敏感性.
- 图等效模型可能会掩盖或歪曲方法效应的影响.
- 预先选潜在方法效应的数据对于强大的心理测量分析至关重要.
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