CronbachAlpha {drclust} | R Documentation |
Cronbach Alpha
Description
Computes the Cronbach Alpha index on a units x variables data matrix. It measures the internal reliability, i.e., the propensity of J variables of a data matrix (n units x J variables) to be concordantly correlated with a single factor (composite indicator).
Usage
CronbachAlpha(X)
Arguments
X |
Units x variables numeric data matrix. |
Value
as |
Cronbach's Alpha |
Author(s)
Ionel Prunila, Maurizio Vichi
References
Cronbach L. J. (1951) "Coefficient alpha and the internal structure of tests" <doi:10.1007/BF02310555>
Examples
# Iris data
# Loading the numeric variables of iris data
iris <- as.matrix(iris[,-5])
# standardizing the data
iris <- scale(iris)
# compute Cronbach's Alpha
as <- CronbachAlpha(iris)
[Package drclust version 0.1 Index]