样本量一般应为变量个数的5倍以上。

The Kaiser–Meyer–Olkin measure of sampling adequacy compares the correlations and the partial correlations between variables. If the partial correlations are relatively high compared to the correlations, the KMO measure is small, and a low-dimensional representation of the data is not possible.

Kaiser-Meyer-Olkin measure of sampling adequacy
Using the Kaiser (1974) characterization of KMO values
0.00 to 0.49 unacceptable
0.50 to 0.59 miserable
0.60 to 0.69 mediocre
0.70 to 0.79 middling
0.80 to 0.89 meritorious
0.90 to 1.00 marvelous

需要做的，一般通过这个结果判断分析的可接受程度

需要