Nine variable - Looking for a relationship

#1
Nope, not a dating advert, just looking for advise on some stats.

I have 9 variables and looking to see if a relationship exists. Looking at histograms a lot of the data is skewed and are negative

So, my question is, would I be better off just doing it as a non-parametric analysis?
 

hlsmith

Omega Contributor
#2
Provide more information please. So you have 9 continuous variables and you want to see if there is a relationship between any pairwise comparisons of any 2 of them, correct.


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.
 
#3
Provide more information please. So you have 9 continuous variables and you want to see if there is a relationship between any pairwise comparisons of any 2 of them, correct.


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.
There are yes/no questionnaires
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
 
#5
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).