Estimate whether two dependent correlations differ
This function tests for statistical differences between two dependent correlations using the formula provided on page 56 of Cohen & Cohen (1983). The function returns a t-value, the DF and the p-value.
cordif.dep(r.x1y,r.x2y,r.x1x2,n)
r.x1y |
The correlation between x1 and y where y is typically the outcome variable. |
r.x2y |
The correlation between x2 and y where y is typically the outcome variable. |
r.x1x2 |
The correlation between x1 and x2 (the correlation between the two predictors). |
n |
The sample size. |
Returns three values. A t-value, DF and p-value.
Paul Bliese paul.bliese@moore.sc.edu
Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd Ed.). Hillsdale, nJ: Lawrence Erlbaum Associates.
cordif.dep(r.x1y=.30,r.x2y=.60,r.x1x2=.10,n=305)
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