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[问答] spss主成分分析的结果中的特征值，贡献率，累计贡献率？ [推广有奖]

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く硪佷啈冨く 发表于 2014-5-8 19:29:08 |AI写论文

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spss主成分分析的结果中的特征值，贡献率，累计贡献率？

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沙发

焉沫殇情 发表于 2014-5-12 18:14:38

看结果就知道了啊

藤椅

wjcwinner 发表于 2014-5-12 21:41:26

你想知道什么？这些都是直接显示出来的。。。

板凳

く硪佷啈冨く 发表于 2014-5-16 17:45:25

wjcwinner 发表于 2014-5-12 21:41
你想知道什么？这些都是直接显示出来的。。。

特征值，贡献率，累计贡献率还有他们代表的含义？

报纸

wjcwinner 发表于 2014-5-16 21:00:27

く硪佷啈冨く发表于 2014-5-16 17:45
特征值，贡献率，累计贡献率还有他们代表的含义？

特征值是按照大小排列，一般提取大于1的特征值来作为你所选取的指标代表
他们的贡献率表示了他们能代表你所选取数据的比例
累计值就是每个列出的特征值累计代表比例，一般超过80%就可以

地板

ReneeBK 发表于 2014-5-26 07:27:31

Component - There are as many components extracted during a principal components analysis as there are variables that are put into it.
Initial Eigenvalues - Eigenvalues are the variances of the principal components. Because we conducted our principal components analysis on the correlation matrix, the variables are standardized, which means that the each variable has a variance of 1, and the total variance is equal to the number of variables used in the analysis.
% of Variance - This column contains the percent of variance accounted for by each principal component.
Cumulative % - This column contains the cumulative percentage of variance accounted for by the current and all preceding principal components. All variance is considered to be true and common variance. In other words, the variables are assumed to be measured without error, so there is no error variance.