For my data (based on 5-item numeric likert scales), I have tried to calculate correlations. As the data is not normally distributed (according to a Shapiro-Wilk test), I have used Spearman correlations.
For most of my variables, Spearman correlation results and scatter plots agree - results are not significant and I can't see any relationship in the scatter plots - unfortunate for my hypotheses, but at least not confusing. However, for one case, the scatter plot looks like there is no relationship, but the Spearman correlation is significant (and negative which is also very much against my hypothesis and previous literature).
So now I'm just really confused on:
- whether I've done it right, and
- which result is right?
EDIT: I have now added jitter to the plot, please see the attached picture below. However, I am still not quite sure on what the right answer is - is the correlation right or the scatter plot (or can I just not see any relationship in the plot, but it exists)?
EDIT 2: I have now ranked the data first and then added jitter to the new plot. Looks very similar to the non-ranked one though, so not sure if I did this right! As I can only have two pictures in here, please let me know if you need the correlations back and I will gladly add them instead