Sample size in factor analysis

被引:3122
作者
MacCallum, RC
Widaman, KF
Zhang, SB
Hong, SH
机构
[1] Ohio State Univ, Dept Psychol, Columbus, OH 43210 USA
[2] Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA
关键词
D O I
10.1037/1082-989x.4.1.84
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The factor analysis literature includes a range of recommendations regarding the minimum sample size necessary to obtain factor solutions that are adequately stable and that correspond closely to population factors. A fundamental misconception about this issue is that the minimum sample size, or the minimum ratio of sample size to the number of variables, is invariant across studies. In fact, necessary sample size is dependent on several aspects of any given study, including the level of communality of the variables and the level of overdetermination of the factors. The authors present a theoretical and mathematical framework that provides a basis for understanding and predicting these effects. The hypothesized effects are verified by a sampling study using artificial data. Results demonstrate the lack of validity of common rules of thumb and provide a basis for establishing guidelines for sample size in factor analysis.
引用
收藏
页码:84 / 99
页数:16
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