Other research papers in my field use coefficients of correlation. This is fairly standard analysis.
My sample is skewed. Skew of 1.234, and kurtosis of 1.68.
I understand that because of this non-normally distributed sample, I cannot use parametric tests on the data - unless I use transformations, which I don't want to use. I can use non - parametric tests.
My question is this - does regression / correlation constitute a parametric or non-parametric test, or neither ?, ie does it matter for the purposes of coefficients of correlation that the data is so skewed ?