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

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

8 exports 1.08 score 7 dependencies 3 mentions 8 scripts 390 downloads

Last updated 1 years agofrom:0341d1c712. Checks:OK: 7. Indexed: yes.

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

Dependencies:lavaanMASSmnormtnumDerivpbivnormquadprogrsem