Abstract: In view of the data most often going against normal distribution, by use of“normal normalization method”,
the data is subjected to normalization transformation treatment thus to get it in accordance with normal distribution and is then given a standardizing treatment. The result shows that the normalized transformation can reflect the order of the data size, and thus does not need to treat those abnormal values; the evaluation results are more comprehensive, reliable and stable; normal normalization method does not affect the size distribution characteristics of the original data, changing the data above the medi- an level into positive, and those below the median level into negative and thus making the big data even bigger, the small data even smaller and is thus conducive to reward the good and fine the bad; the data acquired via normal normalization method, when tested by KMO, the KMO value tends to be larger and thus fitter for factor analysis.