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. Since Version 0.5, the bootstrap confidence intervals were added.


Reference manual

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0.7 by Zhiyong Zhang, a year ago

Browse source code at

Authors: Zhiyong Zhang and Ke-Hai Yuan

Documentation:   PDF Manual  

GPL license

Depends on rsem, lavaan

See at CRAN