covrel: Covariance Matrix-Based Reliability Coefficients

In AATtools: Reliability and Scoring Routines for the Approach-Avoidance Task

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

splitrel

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.

AATtools documentation built on Sept. 11, 2024, 8:40 p.m.