cordif.dep {multilevel} | R Documentation |
Estimate whether two dependent correlations differ
Description
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.
Usage
cordif.dep(r.x1y,r.x2y,r.x1x2,n)
Arguments
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. |
Value
Returns three values. A t-value, DF and p-value.
Author(s)
Paul Bliese pdbliese@gmail.com
References
Cohen, J. & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd Ed.). Hillsdale, nJ: Lawrence Erlbaum Associates.
See Also
Examples
cordif.dep(r.x1y=.30,r.x2y=.60,r.x1x2=.10,n=305)
[Package multilevel version 2.7 Index]