因子分析的SPSS应用——以2010年1-9月全国零售商品价格分类指数分析为例

Factor Analysis of SPSS Applications——With the example of the national retail commodity prices classification index analysis

首先,可以找到三个因子来综合反映全国十六个类别零售商品的价格分类指数的绝大多数信息。根据较有实际意义的第三个因子的分析结果来看,第6、3、1月份和"食""衣""药"的价格指数综合变化较大,从而说明普通百姓的生活成本较大,尤其是低收入阶层。其次,分析还表明,因子分析在损失很少的信息量的情况下,可以起到很好的简化变量个数的作用,当然,对于越多的变量个数及变量之间相关性越强的数据,这种作用也就越是明显。

First of all,we can find three factors to comprehensively reflect most of the information of the national retail prices of goods classification index.According to a practical meaningful third factor analysis results to see,6,3,1 month and ＂feed＂ ＂clothes＂ ＂medicine＂ price index to show greater variation,showing that the cost of living of ordinary people is large,especially low-income people.Secondly,factor analysis analysis also shows that the amount of information in lost little circumstance,can simplify variable numbers well,and of course,for the more variable number and variable stronger correlations between the data,this effect is more apparent.