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.


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install.packages("coefficientalpha")

0.5 by Zhiyong Zhang, 4 years ago


Browse source code at https://github.com/cran/coefficientalpha


Authors: Zhiyong Zhang and Ke-Hai Yuan


Documentation:   PDF Manual  


GPL license


Depends on rsem, lavaan


See at CRAN