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 nonnormal data. Robust standard error and confidence interval are also provided.
Author  Zhiyong Zhang and KeHai Yuan 
Date of publication  20130422 20:53:25 
Maintainer  Zhiyong Zhang <johnnyzhz@gmail.com> 
License  GPL 
Version  0.2.6 
Package repository  View on RForge 
Installation  Install the latest version of this package by entering the following in R:



All man pages Function index File listing
Man pages  

coefficientalphapackage: Robust Cronbach's alpha with missing and nonnormal data  
cronbach: Robust Cronbach's alpha  
holzinger: An example data set  
plot.alpha: Alpha related plot  
rsem.Ascov: Sandwichtype covariance matrix  
rsem.DP: Generate a duplication matrix  
rsem.emmusig: Robust mean and covariance matrix using Hubertype 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. 
Functions 

Files  

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