CronbachAlpha: Cronbach Alpha

In drclust: Simultaneous Clustering and (or) Dimensionality Reduction

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)

drclust documentation built on May 29, 2024, 3:51 a.m.