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coefficientalpha (version 0.2.6)

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

Description

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.

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Version

Install

install.packages('coefficientalpha')

Monthly Downloads

282

Version

0.2.6

License

GPL

Maintainer

Zhiyong Zhang

Last Published

April 25th, 2013

Functions in coefficientalpha (0.2.6)

plot.alpha

Alpha related plot
rsem.emmusig

Robust mean and covariance matrix using Huber-type weight
rsem.pattern

Obtaining missing data patterns
rsem.gname

Internal function
rsem.vec

Stacking a matrix to a vector
rsem.DP

Generate a duplication matrix
summary.alpha

Print alpha and its confidence interval.
rsem.weight

Calculate weight for each subject
holzinger

An example data set
coefficientalpha-package

Robust Cronbach's alpha with missing and non-normal data
rsem.Ascov

Sandwich-type covariance matrix
cronbach

Robust Cronbach's alpha