The quality of factor solutions in exploratory factor analysis: The influence of sample size, communality, and overdetermination
The quality of factor solutions in exploratory factor analysis: The influence of sample size, communality, and overdetermination
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DOI：
10.1177/0013164404267287
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发表时间：
2005-04-01
影响因子：
2.7
通讯作者：
Mumford, KR
中科院分区：
文献类型：
--
作者：
Hogarty, KY;Hines, CV;Mumford, KR
本研究的目的是调查样本量与探索性因子分析获得的因子解质量之间的关系。这项研究扩展了先前检查的条件范围，采用了广泛的标准来评估样本因子解决方案的质量。结果表明，当公共性较高时，样本量对因子解决方案质量的影响往往比公共性较低时要小。因素的多重确定也被证明可以改进因素分析解决方案。最后，有关因子解决方案质量的决定取决于检查的标准。
The purpose of this study was to investigate the relationship between sample size and the quality of factor solutions obtained from exploratory factor analysis. This research expanded upon the range of conditions previously examined, employing a broad selection of criteria for the evaluation of the quality of sample factor solutions. Results showed that when communalities are high, sample size tended to have less influence on the quality of factor solutions than when communalities are low. Overdetermination of factors was also shown to improve the factor analysis solution. Finally, decisions about the quality of the factor solution depended open which criteria were examined.