Viability of Exploratory Factor Analysis as a Precursor to Confirmatory Factor Analysis
Viability of Exploratory Factor Analysis as a Precursor to Confirmatory Factor Analysis
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DOI：
10.1080/10705519609540030
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发表时间：
1996-01-01
影响因子：
6
通讯作者：
Hamilton, Janet G.
中科院分区：
文献类型：
--
作者：
Gerbing, David W.;Hamilton, Janet G.
作为制定结构方程模型建立和评估综合战略的一部分，一项蒙特卡罗研究评估了不同探索性因素分析提取和轮换方法对正确识别已知总体多指标计量模型的有效性。探索性方法在恢复模型方面表现良好，除了在具有高度相关因子的小样本量中，即使在这些情况下，大多数指标也被正确地分配给了因子。令人惊讶的是，正交方差最大旋转在恢复模型方面与更复杂的倾斜旋转一样好，并且通常产生更准确的估计。这些结果表明，探索性因素分析可以有助于一个有用的启发式策略，模型规格之前，交叉验证与验证性因素分析。
As part of the development of a comprehensive strategy for structural equation model building and assessment, a Monte Carlo study evaluated the effectiveness of different exploratory factor analysis extraction and rotation methods for correctly identifying the known population multiple-indicator measurement model. The exploratory methods fared well in recovering the model except in small sample sizes with highly correlated factors, and even in those situations most of the indicators were correctly assigned to the factors. Surprisingly, the orthogonal varimax rotation did as well as the more sophisticated oblique rotations in recovering the model, and generally yielded more accurate estimates. These results demonstrate that exploratory factor analysis can contribute to a useful heuristic strategy for model specification prior to cross-validation with confirmatory factor analysis.