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

Share:

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
2013-03-28 13:51:32
Maintainer
Zhiyong Zhang <zzhang4@nd.edu>
License
GPL
Version
0.2.4

View on R-Forge

Man pages

alpha-package
Robust Cronbach's alpha with missing and non-normal data
cronbach
Robust Cronbach's alpha
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.
y
An example data set

Files in this package

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