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-any)coefficientalpha_0.7.2.zip(r-4.6-any)coefficientalpha_0.7.2.zip(r-4.5-any)
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✨
DESCRIPTION
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.

1.65 score 15 scripts 437 downloads 3 mentions 8 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK96
source / vignettesOK154
linux-releaseOK99
macos-releaseOK114
macos-oldrelOK114
windows-develOK74
windows-releaseOK69
windows-oldrelOK72
wasm-releaseOK73

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

Dependencies:lavaanMASSmnormtnumDerivpbivnormquadprogrsem