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 |

**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

man

man/y.Rd
man/rsem.DP.Rd
man/rsem.pattern.Rd
man/plot.alpha.Rd
man/summary.alpha.Rd
man/rsem.Ascov.Rd
man/rsem.gname.Rd
man/rsem.emmusig.Rd
man/rsem.vec.Rd
man/alpha-package.Rd
man/cronbach.Rd
man/rsem.weight.Rd
DESCRIPTION

data

data/holzinger.txt.gz

NAMESPACE

R

R/Cronbach.R
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