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.
|Author||Zhiyong Zhang and Ke-Hai Yuan|
|Date of publication||2015-05-31 12:53:35|
|Maintainer||Zhiyong Zhang <email@example.com>|
alpha: Robust Cronbach's alpha and McDonald's omega
bootstrap: Bootstrap se and CI for alpha and omega
coefficientalpha-package: Robust Cronbach's alpha and McDonald's omega with missing and...
example: An example data set
plot.alpha: Alpha/Omega related plot
summary.alpha: Print alpha/omega and its confidence interval.
tau.test: Test the tau-equivalence and the homogeneity of items