- Thread starter Armaghgeddon
- Start date

You can just create a correlation matrix, probably use Spearman rank correlation if they are skewed. Remember is you look at enough variable combinations, so will come-up significant by chance (e.g. 5%), so of your 28 comparisons expect some chance.

You can just create a correlation matrix, probably use Spearman rank correlation if they are skewed. Remember is you look at enough variable combinations, so will come-up significant by chance (e.g. 5%), so of your 28 comparisons expect some chance.

Likert scale questionnaires

and measures taken over fixed time periods and performance on other tasks being measured on a scale.

So there are quite a few tasks and different measures.

Then of course I am having data such as (data attached) being thrown in to make things

slightly more complicated

The use of scatterplots would be beneficial.

Used something different due to the relatively small sample size (N=60) so thought it might be a bit difficult to see any relationship using a scatterplot (not that I would see one using a histogram, but wanted to see if I could use pearsons or non-parametric alternative).