Learn R Programming

coefficientalpha (version 0.7.2)

Robust Coefficient Alpha and Omega with Missing and Non-Normal Data

Description

Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package 'coefficientalpha' calculates coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Since Version 0.5, the bootstrap confidence intervals were added.

Copy Link

Version

Install

install.packages('coefficientalpha')

Monthly Downloads

518

Version

0.7.2

License

GPL

Maintainer

Last Published

August 27th, 2023

Functions in coefficientalpha (0.7.2)

plot.alpha

Alpha/Omega related plot
bootstrap

Bootstrap se and CI for alpha and omega
alpha

Robust Cronbach's alpha and McDonald's omega
tau.test

Test the tau-equivalence and the homogeneity of items
summary.alpha

Print alpha/omega and its confidence interval.
example

An example data set
coefficientalpha-package

Robust Coefficient Alpha and Omega with Missing and Non-Normal Data