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Provides functions to calculate the minimum and maximum possible values of Cronbach's alpha when item-level missing data are present. Cronbach's alpha (Cronbach, 1951 <doi:10.1007/BF02310555>) is one of the most widely used measures of internal consistency in the social, behavioral, and medical sciences (Bland & Altman, 1997 <doi:10.1136/bmj.314.7080.572>; Tavakol & Dennick, 2011 <doi:10.5116/ijme.4dfb.8dfd>). However, conventional implementations assume complete data, and listwise deletion is often applied when missingness occurs, which can lead to biased or overly optimistic reliability estimates (Enders, 2003 <doi:10.1037/1082-989X.8.3.322>). This package implements computational strategies including enumeration, Monte Carlo sampling, and optimization algorithms (e.g., Genetic Algorithm, Differential Evolution, Sequential Least Squares Programming) to obtain sharp lower and upper bounds of Cronbach's alpha under arbitrary missing data patterns. The approach is motivated by Manski's partial identification framework and pessimistic bounding ideas from optimization literature.
Version: | 0.1.0 |
Depends: | R (≥ 3.1.0) |
Imports: | GA, DEoptim, nloptr, stats |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2025-09-09 |
DOI: | 10.32614/CRAN.package.missalpha |
Author: | Feng Ji [aut], Biying Zhou [aut, cre] |
Maintainer: | Biying Zhou <biying.zhou at psu.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | missalpha results |
Reference manual: | missalpha.html , missalpha.pdf |
Package source: | missalpha_0.1.0.tar.gz |
Windows binaries: | r-devel: missalpha_0.1.0.zip, r-release: missalpha_0.1.0.zip, r-oldrel: missalpha_0.1.0.zip |
macOS binaries: | r-release (arm64): missalpha_0.1.0.tgz, r-oldrel (arm64): missalpha_0.1.0.tgz, r-release (x86_64): missalpha_0.1.0.tgz, r-oldrel (x86_64): missalpha_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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