Internal consistency of correlation I have this question below , and I am unable to understand what is internal consistency,  can anyone please tell the concept , I have read its wiki page but I couldn't understand how to solve a numerical using that theory , also I couldn't find anything on this platform about this concept .

Examine , after deducing necessary results , if the following set of correlation coefficients are internally consistent.
$ r_{12} =0.62 , r_{13}= 0.55 , r_{23} = 0.42 $


If you assign arbitrarily the three correlations between three variables you may end up with a correlation matrix that is not positive definite. The assignment is consistent if the correlation matrix is positive definite. In your case, it is. Check the eigenvalues.
