summary.alpha: Print alpha and its confidence interval.

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

Description

Print alpha and its confidence interval.

Usage

## S3 method for class 'alpha'
summary(object, prob = 0.95,...)

Arguments

object	Results from the function cronbach.
prob	Alpha level for confidence interval. By default, the 95
...	Option can be passed to the summary function.

Author(s)

Zhiyong Zhang and Ke-Hai Yuan

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)
## diagnostic plot
plot(alpha.spatial, type='d')

## alpha with varphi=.01 & standard error
alpha.spatial<-cronbach(spatial, varphi=.01, se=TRUE)
## confidence interval
summary(alpha.spatial)

coefficientalpha documentation built on May 2, 2019, 4:12 p.m.