Factors Influencing Four Rules For Determining The Number Of Components To Retain.
Factors Influencing Four Rules For Determining The Number Of Components To Retain.
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影响确定要保留的组件数量的四个规则的因素。
DOI：
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发表时间：
1982
影响因子：
3.8
通讯作者：
W. Velicer
中科院分区：
文献类型：
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作者：
W. Zwick;W. Velicer
在四个系统变化的因素(样本量、变量数、分量数和分量饱和度)中，研究了确定要保留的分量数量的四个规则(Kaiser特征值大于1、Cattell‘s Scree、Bartlett’s检验和Velier‘s map)的性能。从代表条件组合的48个已知总体相关矩阵中的每一个产生10个样本相关矩阵。在所有情况下，屏幕和地图规则的性能通常是最好的。巴特利特的检验总体上是足够的，除非变量的数量接近样本量。凯撒规则往往严重高估了部件的数量。
The performance of four rules for determining the number of components to retain (Kaiser's eigenvalue greater than unity, Cattell's SCREE, Bartlett's test, and Velicer's MAP) was investigated across four systematically varied factors (sample size, number of variables, number of components, and component saturation). Ten sample correlation matrices were generated from each of 48 known population correlation matrices representing the combinations of conditions. The performance of the SCREE and MAP rules was generally the best across all situations. Bartlett's test was generally adequate except when the number of variables was close to the sample size. Kaiser's rule tended to severely overestimate the number of components.