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I am working on my MSc dissertation findings and I have data results from two 5-Point Likert scales. One Likert measured self-assessed behaviour, whilst the other measured attitude. (Both scales were labelled strongly disagree to strongly agree).

My hypothesis is that respondents who attributed a high score on one Likert will do the same on the other Likert.

Both population samples were the same (i.e. I distributed one survey, and the same respondents filled in both Likert scales at one point in time), so I understand that I must carry out a related samples tests.

Would I be correct in using Wilcoxon signed rank test?

I tried charting a scatterplot and carrying out correlation analysis but the output doesn't seem to make sense:enter image description here

YasG
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  • Thanks for your reply. I tried applying Spearman's but the first step is to determine if there is a monotonic relationship. With the dataset I have (17 responses), I'm having a hard time interpreting the scatterplot depicted above. – YasG Aug 10 '23 at 06:32
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    Unfortunately, even if you have a larger sample that scatterplot might not be very helpful. You have limited number of categories in each variable. Maybe a different visualization helps, see this question. For small samples, some people recommend Kendall's Tau but I am not sure. – T.E.G. Aug 10 '23 at 06:51
  • And sorry I deleted my previous comment by accident (on mobile). – T.E.G. Aug 10 '23 at 06:53
  • Thank you!! I was thinking of carrying out a visualization instead of statistical testing, but I couldn't find different types of visualizations techniques. I'll try a heat map instead and see if my tutor is fine with it. – YasG Aug 10 '23 at 08:59

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