coefficientalpha: Robust Cronbach's alpha with missing and non-normal data

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 <johnnyzhz@gmail.com>
License
GPL
Version
0.2.6

View on R-Forge

Man pages

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.

Files in this package

coefficientalpha/DESCRIPTION
coefficientalpha/NAMESPACE
coefficientalpha/R
coefficientalpha/R/Cronbach.R
coefficientalpha/data
coefficientalpha/data/holzinger.txt.gz
coefficientalpha/man
coefficientalpha/man/coefficientalpha-package.Rd
coefficientalpha/man/cronbach.Rd
coefficientalpha/man/holzinger.Rd
coefficientalpha/man/plot.alpha.Rd
coefficientalpha/man/rsem.Ascov.Rd
coefficientalpha/man/rsem.DP.Rd
coefficientalpha/man/rsem.emmusig.Rd
coefficientalpha/man/rsem.gname.Rd
coefficientalpha/man/rsem.pattern.Rd
coefficientalpha/man/rsem.vec.Rd
coefficientalpha/man/rsem.weight.Rd
coefficientalpha/man/summary.alpha.Rd