alphaci: Confidence Intervals for Coefficient Alpha and Standardized Alpha

Calculate confidence intervals for alpha and standardized alpha using asymptotic theory or the studentized bootstrap, with or without transformations. Supports the asymptotic distribution-free method of Maydeu-Olivares, et al. (2007) <doi:10.1037/1082-989X.12.2.157>, the pseudo-elliptical method of Yuan & Bentler (2002) <doi:10.1007/BF02294845>, and the normal method of van Zyl et al. (1999) <doi:10.1007/BF02296146>, for both coefficient alpha and standardized alpha.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: future.apply, matrixcalc
Suggests: covr, extraDistr, knitr, lavaan, psychTools, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-10-11
Author: Jonas Moss ORCID iD [aut, cre]
Maintainer: Jonas Moss <jonas.moss.statistics at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: alphaci results


Reference manual: alphaci.pdf
Vignettes: Simulation of confidence intervals.
Verifying the variances.


Package source: alphaci_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): alphaci_1.0.0.tgz, r-oldrel (arm64): alphaci_1.0.0.tgz, r-release (x86_64): alphaci_1.0.0.tgz, r-oldrel (x86_64): alphaci_1.0.0.tgz


Please use the canonical form to link to this page.