Hello readers
I am studying attributions in sports. I have a trait like measure which assesses attributions from six dimensions (Internal-External, Stable-Unstable, Global-Specific, Controllability, Intentionality). I also have state measure for attributions, which i assessed after two performances t1 and t2.
I want to know/test, people who are optimistic (trait) remain optimistic (state) irrespective of the result of t1 and t2 and people who are pessimistic remain pessimistic.
Can any one help me with the suitable analysis.
Any help would be appreciated
I suggest:
form 2 groups 1 :trait optimistic,2: trait pessimistic.
Then for each individual measure difference in attribute score (state - trait) after
performance t1
Compare mean of differences in group 1 with mean of differences in group 2 by unpaired t test
do the same for performance t2.
If no difference between t1 and t2 effect (if any) then you could pool t1 and t2 data
We can try a) Mean-difference tests;b) Non-parametric Sign tests, in this case.
