Package: coefficientalpha 0.7.2

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

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. Since Version 0.5, the bootstrap confidence intervals were added.

Authors:Zhiyong Zhang and Ke-Hai Yuan

coefficientalpha_0.7.2.tar.gz
coefficientalpha_0.7.2.zip(r-4.7)coefficientalpha_0.7.2.zip(r-4.6)coefficientalpha_0.7.2.zip(r-4.5)
coefficientalpha_0.7.2.tgz(r-4.6-any)coefficientalpha_0.7.2.tgz(r-4.5-any)
coefficientalpha_0.7.2.tar.gz(r-4.7-any)coefficientalpha_0.7.2.tar.gz(r-4.6-any)
coefficientalpha_0.7.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
coefficientalpha/json (API)

# Install 'coefficientalpha' in R:
install.packages('coefficientalpha', repos = c('https://johnnyzhz.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.68 score 16 scripts 317 downloads 3 mentions 8 exports 7 dependencies

Last updated from:0341d1c712. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK130
linux-release-x86_64OK92
macos-release-arm64OK93
macos-oldrel-arm64OK92
windows-develOK72
windows-releaseOK70
windows-oldrelOK79
wasm-releaseOK93

Exports:alphabootstrapomegaplot.alphaplot.omegasummary.alphasummary.omegatau.test

Dependencies:lavaanMASSmnormtnumDerivpbivnormquadprogrsem