coefficientalpha (version 0.2.6)

cronbach: Robust Cronbach's alpha

Description

Calculate alpha for a given data set.

Usage

cronbach(y, varphi = 0.1, se = FALSE, complete = FALSE)

Arguments

y

Data

varphi

Downweight rate

se

Whether to estimate standard error. It will take significant more time if se is requested.

complete

Calculate alpha only based on complete data (lisewise deletion)

References

Zhang, Z. & Yuan, K.-H. (2013). Robust Cronbach's alpha.

Examples

data(holzinger)
spatial<-holzinger[, c('visual', 'cubes', 'paper', 'lozenge', 'paperrev','flagssub')]
verbal<-holzinger[, c('general', 'paragrap', 'sentence', 'wordc', 'wordm')]
speed<-holzinger[, c('add', 'code', 'counting', 'straight')]
memory<-holzinger[, c('wordr', 'numberr', 'figurer', 'object', 'numberf', 'figurew')]

alpha.spatial<-cronbach(spatial, varphi=.01)