因子分析法是一项多元统计分析技术，是用少数几个因子去描述许多指标或因素

因子分析法是一项多元统计分析技术，是用少数几个因子去描述许多指标或因素之间的联系，即将相关比较密切的几个变量归在同一类中，每一类变量就成为一个因子，以较少的几个因子反映原资料的大部分信息，其主要目的就是简化数据。运用这种研究技术，我们可以方便地找出影响消费者购买、消费以及满意度的主要因素是哪些，以及它们的影响力运用这种研究技术，我们还可以为市场细分做前期分析。

結果 (英文) 1:

Factor analysis is a multivariate statistical analysis technology, made few linkages between the factors to describe many of the indicators or factors to be related more closely to several variables in the same class, each class variable is a factor, with a smaller number of factors reflecting the original information much of the information, its main purpose is to simplify the data. Application of this technology, we can easily identify major factors affecting consumer purchase, consumption and satisfaction which, as well as their power to use such research techniques, we can also do preliminary analysis for market segmentation.

結果 (英文) 2:

Factor analysis is a multivariate statistical analysis techniques are used to contact a few factors to describe many of the indicators or factors, coming more closely related to several variables grouped in the same class, each class variable becomes a factor to reflect the relatively small number of factors most of the information of the original data, and its main purpose is to simplify the data. Using this research techniques, we can easily identify the impact of consumer purchase, consumption and satisfaction of the main factors is what, and how they influence the use of this technology research, we can also do pre-market segmentation analysis.

結果 (英文) 3:

Factor analysis is a multivariate statistical analysis technique, is used to describe the few factors among many indexes or factors related to several variables, close to the same class, each class variable is a factor, most of the information of several factors with less reflect the original data, the main the purpose is to simplify the data. Using this technique, which is the main factor that we can easily find out the influence of consumer purchase, consumption and satisfaction, and their influence in using this technology, we can preliminary analysis for market segmentation.