的结果来看，公因子提取的结果比较理想，但是公共因子与初始变量 之间的相

According to the results, the result of common factor extraction is ideal, but the difference in the correlation coefficient between the common factor and the initial variable is not obvious. It is difficult to theoretically analyze the exact meaning of the extracted common factor, in order to be the factor loading matrix The middle coefficient is more obvious. The following is the rotation of the initial factor loading matrix, so that the concern between the factor and the original variable is divided into two levels (0,1), which is easier to explain.

The results show that the results of male factor extraction are ideal, but the difference between the correlation coefficient between the common factor and the initial variable is not obvious, it is difficult to theoretically analyze the exact meaning of the extracted common factor, in order to be more obvious in the factor load matrix, the following face of the initial factor load matrix rotation, so that the factor and the original variable between the care direction (0,1) to be polarized, so as to be easier to explain.

However, the difference of correlation coefficient between the common factor and the initial variable is not obvious, so it is difficult to analyze the exact meaning of the extracted common factor in theory. In order to make the coefficient in the factor load matrix more obvious, the initial factor load matrix is rotated, It makes the concern between factor and original variable differentiate into (0,1), which makes it easier to explain.<br>