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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.
Getting started
Browse package contents
Package details |
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| Author | Zhiyong Zhang and Ke-Hai Yuan |
| Maintainer | Zhiyong Zhang <johnnyzhz@gmail.com> |
| License | GPL |
| Version | 0.7.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the coefficientalpha package in your browser
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