COMPCOR: A Computer Program for Comparing Correlations Using Confidence Intervals.
The normal curve value associated with computing the confidence interval for the individual correlations was obtained using the algorithm by. The program responds with a restatement of the input correlations, sample size, the confidence interval for the individual correlations, the confidence interval for testing the differences between correlations and a brief statement mentioning that confidence intervals containing zero are non-significant. The program is written in FORTRAN 77, using the GNU FORTRAN compiler, and runs on a Windows PC or compatible.
In some cases, researchers may resort to computing these techniques by hand. Therefore,
in order to make these confidence interval approaches more generalizable to researchers, the purpose of the user-friendly, stand-alone program was to compute them for testing differences between: a) independent correlations; and b) two dependent correlations with either zero or one element in common in a Windows platform.
A second hypothesis consists of testing the difference between two dependent correlations with no elements in common (Ho :ρ12=ρ34). Suppose that the administrator is now interested in determining if the correlation between the mathematics scores on the IT and CM scores would be higher (r=.50) after a brief memory skill course than before one for grade 4 children (r=.30). Here is a hypothetical correlation matrix for a sample size of 50.
They provided this alternative in R and S-PLUS programs. Nevertheless, using the3 z-test, the value was 2.832, p<.01 indicating that the correlation between mathematics scores on the IT and
CM scores was significantly higher than the correlation between mathematics scores on the IT and MBEMA scores for grade children.
