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确定重要的Spearman的Rho相关性的方向

[英]Determining the direction of a significant spearman's rho correlation

原文 2017-04-08 19:24:32 0 1 r/ spss

I asked the following question over on stackexchange https://stats.stackexchange.com/questions/272657/determining-the-direction-of-a-significant-spearmans-rho-correlation - someone pointed me in the direction of this site as I am using spss, so if anyone had any advice that would be much appreciated. 我在stackexchange上询问了以下问题https://stats.stackexchange.com/questions/272657/determining-the-direction-of-a-significant-spearmans-rho-correlation-有人将我指向该网站的方向为我正在使用spss，因此如果有人有任何建议，将不胜感激。

I have conducted Spearman's Rho tests with two ordinal variables (one with 4 possible answers and the other with 6). 我用两个序数变量（一个有4个可能的答案，另一个有6个）进行了Spearman的Rho测试。 I have obtained a statistically significant correlation between the two. 我已经获得了两者之间的统计学显着相关性。 My question is, how can I graphically (or some other way) determine which answer of each correlate together - as a scatterplot would not work with my data (since it is not scale). 我的问题是，我如何以图形方式（或其他方式）确定每个相关的答案，因为散点图不适用于我的数据（因为它无法缩放）。

1 个解决方案

A fluctuation plot is often a good way to look at the distribution of pairs of categorical variables. 波动图通常是查看分类变量对的分布的好方法。 There is a custom dialog available for this if you don't want to figure out the GPL code. 如果您不想弄清楚GPL代码，可以使用一个自定义对话框。 It is available from the Community site, but if you can't find it, send me an email (jkpeck@gmail.com), and I'll send it to you. 它可以从社区站点上获得，但是如果找不到，请给我发送电子邮件（jkpeck@gmail.com），然后我将其发送给您。