Cronbach's alpha and McDonald's omega are 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 coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Version 0.5 added the bootstrap confidence intervals.

Install the latest version of this package by entering the following in R:

`install.packages("coefficientalpha")`

Author | Zhiyong Zhang and Ke-Hai Yuan |

Date of publication | 2015-05-31 12:53:35 |

Maintainer | Zhiyong Zhang <johnnyzhz@gmail.com> |

License | GPL |

Version | 0.5 |

**alpha:** Robust Cronbach's alpha and McDonald's omega

**bootstrap:** Bootstrap se and CI for alpha and omega

**coefficientalpha-package:** Robust Cronbach's alpha and McDonald's omega with missing and...

**example:** An example data set

**plot.alpha:** Alpha/Omega related plot

**summary.alpha:** Print alpha/omega and its confidence interval.

**tau.test:** Test the tau-equivalence and the homogeneity of items

inst

inst/doc

inst/doc/manual.pdf

NAMESPACE

data

data/example.txt.gz

R

R/Cronbach.R
MD5

DESCRIPTION

man

man/bootstrap.Rd
man/tau.test.Rd
man/coefficientalpha-package.Rd
man/plot.alpha.Rd
man/alpha.Rd
man/summary.alpha.Rd
man/example.Rd
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