SPSS分析时，pearson相关不显著而spearman相关显著

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用SPSS分析实验数据时，两组数据的pearson相关不显著而spearman相关显著，以哪个为准？两种方法有什么区别吗？谢谢！

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关键词：spearman pearman pearson SPSS分析 SPSS pearson SPSS

Pearson r correlation is used to measure the degree of the relationship between linear related variables. For Pearson r, both variables should be normally distributed.  Other assumptions include linearity and homoscedasticity.

Spearman rank correlation is a non-parametric test that is used to measure the degree of association between two variables. Spearman rank correlation test does not make any assumptions about the distribution.
If your data is normal distribution, I suggest you use Pearson r. Otherwise, the Spearman is your choice.  

llulla 发表于 2016-10-28 03:33
Pearson r correlation is used to measure the degree of the relationship between linear related varia ...

谢谢！

要看数据更适合哪种方法。两种方法有条件要求的。

要看数据 选择对应方法 一般数据满足正态性则用person 不满足则用spearman 可以看一下文章
https://bbs.pinggu.org/thread-10797675-1-1.html