Cronbach's alpha is one of the most 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 Cronbach's coefficient alpha with missing data and non-normal data. Robust standard error and confidence interval are also provided.
|Author||Zhiyong Zhang and Ke-Hai Yuan|
|Date of publication||2013-04-22 20:53:25|
|Maintainer||Zhiyong Zhang <email@example.com>|
coefficientalpha-package: Robust Cronbach's alpha with missing and non-normal data
cronbach: Robust Cronbach's alpha
holzinger: An example data set
plot.alpha: Alpha related plot
rsem.Ascov: Sandwich-type covariance matrix
rsem.DP: Generate a duplication matrix
rsem.emmusig: Robust mean and covariance matrix using Huber-type weight
rsem.gname: Internal function
rsem.pattern: Obtaining missing data patterns
rsem.vec: Stacking a matrix to a vector
rsem.weight: Calculate weight for each subject
summary.alpha: Print alpha and its confidence interval.