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

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. Version 0.5 added the bootstrap confidence intervals.

AuthorZhiyong Zhang and Ke-Hai Yuan
Date of publication2015-05-31 12:53:35
MaintainerZhiyong Zhang <johnnyzhz@gmail.com>
LicenseGPL
Version0.5

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Files in this package

coefficientalpha
coefficientalpha/inst
coefficientalpha/inst/doc
coefficientalpha/inst/doc/manual.pdf
coefficientalpha/NAMESPACE
coefficientalpha/data
coefficientalpha/data/example.txt.gz
coefficientalpha/R
coefficientalpha/R/Cronbach.R
coefficientalpha/MD5
coefficientalpha/DESCRIPTION
coefficientalpha/man
coefficientalpha/man/bootstrap.Rd coefficientalpha/man/tau.test.Rd coefficientalpha/man/coefficientalpha-package.Rd coefficientalpha/man/plot.alpha.Rd coefficientalpha/man/alpha.Rd coefficientalpha/man/summary.alpha.Rd coefficientalpha/man/example.Rd

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