A Monté Carlo Comparison of Factor Analytic Methods
A Monté Carlo Comparison of Factor Analytic Methods
复制标题
因子分析方法的蒙特卡罗比较
DOI：
10.1177/002224378001700207
复制
发表时间：
1980
影响因子：
6.1
通讯作者：
Ronald D. Anderson
中科院分区：
文献类型：
--
作者：
F. Acito;Ronald D. Anderson
三因子分析程序，主成分分析，图像分析，和α因子分析，通过蒙特卡罗模拟比较。模拟允许系统地测试每种方法恢复预先指定的因子模式的能力。图像和alpha分析被发现比主成分分析更准确，特别是对于在市场营销中应用因子分析的问题类型。在研究结果的基础上，提出了应用研究的建议和未来方法论工作的建议。
Three factor analytic procedures, principal components analysis, image analysis, and alpha factor analysis, are compared by means of a Monté Carlo simulation. The simulation allows systematic tests of the ability of each method to recover prespecified factor patterns. Image and alpha analysis are found to be more accurate than principal components analysis, especially for the type of problem to which factor analysis is applied in marketing. Recommendations for applied research and suggestions for future methodological work are made on the basis of the study findings.