covrel {AATtools} | R Documentation |
Covariance Matrix-Based Reliability Coefficients
Description
These functions allow for the computation of the reliability of a dataset from the covariance matrix of its variables.
Usage
calpha(covmat)
lambda2(covmat)
lambda4(covmat)
Arguments
covmat |
a covariance matrix |
Functions
-
calpha()
: Cronbach's alpha -
lambda2()
: Guttman's Lambda-2 -
lambda4()
: Guttman's Lambda-4. This algorithm tries to get the highest attainable reliability by
See Also
Examples
# compute reliability from covariance
h<-cov(iris[,1:4])
calpha(h)
lambda2(h)
lambda4(h)
# Lambda-2 and Lambda-4 are significantly larger because
# some of the variables in the iris dataset are negatively correlated.
[Package AATtools version 0.0.2 Index]