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reliacoef

The goal of reliacoef is to calculate and compare various unidimensional and multidimensional reliability coefficients.

• Provides the following unidimensional reliability coefficients
  • coefficient alpha
  • Unidimensional confirmatory factor analysis reliability, commonly referred to as composite reliability
  • Gilmer-Feldt reliability coefficient
  • Feldt’s classical congeneric reliability coefficient
  • Hancock’s H
  • Heise-Borhnstedt’s Omega
  • Kaiser-Caffrey’s alpha
  • Ten Berge and Zegers’s mu series (mu2, mu3, mu4)
• Provides the following multidimensional reliability coefficients, omega hierarchical, and subdimensional reliability
  • Stratified alpha
  • Maximal reliability
  • Multidimensional parallel reliability
  • Correlated factors reliability
  • Second-order factor reliability
  • Bifactor reliability
• Collects and compare reliability coefficients provided by other packages
  • Two versions of GLB (greatest lower bounds) offered by the package psych
  • Guttman’s lamdas offered by the package Lambda4
• Test essential tau-equivalence and explore unidimensionality

Installation

You can download and install it from Github using the devtools package:

install.packages("devtools")
devtools::install_github("eunscho/reliacoef")

Example

The most typical use would be the unirel and multirel function comparing several reliability coefficients:

library(unirel)
unirel(Graham1)
## compare various unidimensional reliability coefficients
multirel(Osburn_moderate, until = 4)
## compare various multidimensional reliability coefficients

You can also get each coefficient separately.

alpha(Graham1)
## obtain coefficient alpha
joreskog(Graham1)
## obtain composite (congeneric) reliability (unidimensional CFA reliability)
gilmer(Graham1)
## obtain the Gilmer-Feldt coefficient
feldt(Graham1)
## obtain Feldt's classical congeneric reliability
hancock(Graham1)
## obtain Hancock's H (maximal reliability)
heise(Graham1)
## obtain Heise-Borhnstedt's Omega
kaisercaffrey(Graham1)
## obtain Kaiser-Caffrey's alpha
mu2(Graham1)
## obtain Ten Berge and Zegers' mu2
mu3(Graham1)
## obtain Ten Berge and Zegers' mu3
mu4(Graham1)
## obtain Ten Berge and Zegers' mu4
stratified_alpha(Osburn_moderate, 4)
## obtain stratified alpha
multi_parallel(Osburn_moderate, 4)
## obtain multidimensional parallel reliability
second_order(Osburn_moderate, 4)
## obtain second-order factor reliability
bifactor(Osburn_moderate, 4)
## obtain bifactor reliability
maximal_reliability(Osburn_moderate, 4)
## obtain maximal reliability
correlated_factors(Osburn_moderate, 4)
## obtain correlated factors reliability

You can test essential tau-equivalence and explore unidimensionality.

test.tauequivalence(Graham1)
## test the assumption of essential tau-equivalence 

Troubleshooting

Sometimes an error message appears.

Error in standardizedsolution(fit) :

The solution is to activate the lavaan package.

library(lavaan)

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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