I have a very basic question concerning how to compare the responses of two groups of subjects,
group = A and
group = B, to a same test. The responses are stored in
My starting dataset is in the following form:
id group x 1 A 15 2 A 17 3 A 22 ... 50 B 22 51 B 12 52 B 13 ...
My initial idea was to split
x into two variables
xB, and then to sort both of them according to their group, like this:
xA xB 15 12 17 13 22 22 ... ...
Then I wanted to run a simple Pearson's test between the newly created
To me this strategy seems rather artificial: I am sorting the variables before making the comaparison, which makes very likely to find some sort of linear dependence...
I am interested in evaluating whether there is some sort of accordance between the subjects of the two grous in answering to the test. I also thought to adopt a Wilcoxon test on the equality of the medians of the two variables.
Which strategy would you suggest?