bootstrap: Bootstrap se and CI for alpha and omega

In coefficientalpha: Robust Coefficient Alpha and Omega with Missing and Non-Normal Data

Bootstrap se and CI for alpha and omega

Description

Bootstrap se and CI for alpha and omega.

Usage

bootstrap(y, type="omega", alpha=.95, nboot=1000, ci="bc", plot=FALSE, 
varphi=0, complete=FALSE, auxiliary=NULL, silent=FALSE)

Arguments

y	Data
type	omega: coefficient omega. Otherwise, coefficient alpha.
alpha	Confidence level.
nboot	Number of bootstrap samples to use
ci	bc: Bias-corrected CI. Otherwise, the percentile CI is used.
plot	Whether to plot the bootstrap density.
varphi	Downweight rate
complete	Calculate alpha/omega only based on complete data (listwise deletion)
auxiliary	Provide a matrix or data frame of auxiliary variables for missing data analysis.
silent	Whether to print information of the analysis.

Author(s)

Zhiyong Zhang and Ke-Hai Yuan

References

Zhang, Z. & Yuan, K.-H. (2014). Robust Coefficients Alpha and Omega and their Confidence Intervals: Methods and Software.

Examples

data(example)

boot.test<-bootstrap(example, type='alpha', nboot=10, plot=TRUE)

coefficientalpha documentation built on Aug. 27, 2023, 9:06 a.m.