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Home Page: https://jonasmoss.github.io/alphaci/
License: Other
An R package for doing inference with coefficient alpha and standardized alpha.
Home Page: https://jonasmoss.github.io/alphaci/
License: Other
There are several R
packages that make confidence intervals for coefficient alpha, but not much support for standardized alpha. Most packages use some sort of normality assumption.
The alpha
and alpha.ci
functions of psych
calculates confidence intervals for coefficient alpha following normal theory. semTools calculates numerous reliability coefficients with its reliability
function.
The Cronbach package provides confidence intervals based on normal theory, as does the alpha.CI
function of psychometric
Confidence intervals for both alphas can, in principle, be calculated using structural equation modeling together with the delta method. Packages such as lavaan
can be used for this purpose, but this is seldom done.
This is very very natural to include and must be tested for the paper in any case...
Write vignette demonstrating the correctness, perhaps?
Distribution | Parallel | Coefficient | Checked |
---|---|---|---|
Normal | Yes | Alpha | ❌ |
Normal | No | Alpha | ❌ |
Elliptical | Yes | Alpha | ❌ |
Elliptical | No | Alpha | ❌ |
Arbitrary | Yes | Alpha | ❌ |
Arbitrary | No | Alpha | ❌ |
Normal | Yes | Standardized | ❌ |
Normal | No | Standardized | ❌ |
Elliptical | Yes | Standardized | ❌ |
Elliptical | No | Standardized | ❌ |
Arbitrary | Yes | Standardized | ❌ |
Arbitrary | No | Standardized | ❌ |
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