SPSS软件计算主成分分析的缺陷与纠正

Defects and Correction of Principal Component Analysis in SPSS Software Calculation

一些作者对SPSS软件计算主成分分析结果的缺失与陷阱认识不足,不了解主成分分析应用条件,以至出现较多的错误与不足,甚至不能解决问题。文章应用主成分与初始因子的关系式,主成分分析综合评价改进步骤,在SPSS软件中,通过实际数据计算示范,纠正这些缺陷与不足,并与旧算法比较,给出纠正的有效性,对SPSS软件公司和用户提出了避免缺失与陷阱的一些建议。

Some authors have insufficient understanding of the missing and trap of the results of principal component analysis(PCA) in SPSS software calculation, and do not understand the application conditions of PCA, leading to many mistakes and deficiencies, and even failing to solve the problems. This paper applies the relationship between principal component and initial factor, and calculates from actual data in SPSS software to demonstrates the improvement steps of principal component analysis comprehensive evaluation, correcting these defects and deficiencies, comparing with the old algorithm, and presenting the effectiveness of the correction. Finally, the paper puts forward some suggestions for SPSS software companies and users to avoid defects and traps.