README.md

In JonasMoss/reliable: Reliability Coefficients and Factor Scores for the Linear Factor Model

reliable

An R package for reliability coefficients and factor scores for the linear factor model.

Installation

From inside R, use the following command:

# install.packages("devtools")
devtools::install_github("JonasMoss/reliable")

Usage

Use lavaan to fit a linear factor model.

library("reliable")

model = ' visual  =~ x1 + x2 + x3
          textual =~ x4 + x5 + x6
          speed   =~ x7 + x8 + x9 '

object = lavaan::cfa(model = model,
                     data = lavaan::HolzingerSwineford1939)

Now you we can find the sum-score reliability and the associated factor scores.

reliability(object, type = "sumscore")
#> $rsq
#> [1] 0.7569798
#> 
#> $weights
#>           [,1]
#> [1,] 0.8691074
#> 
#> $iota
#>       [,1] [,2] [,3]
#>  [1,]    1    0    0
#>  [2,]    0    0    0
#>  [3,]    1    0    0
#>  [4,]    0    1    0
#>  [5,]    0    1    0
#>  [6,]    0    1    0
#>  [7,]    0    0    1
#>  [8,]    0    0    1
#>  [9,]    0    0    1
#> 
#> $inflation
#> [1] 4.114885

And we can find the linear reliability and the associated factor scores.

reliability(object, type = "linear")
#> $rsq
#> [1] 0.7962199
#> 
#> $weights
#>          [,1]        [,2]        [,3]
#> x1 0.41047841 0.027620586 0.043609095
#> x2 0.11002004 0.007403113 0.011688494
#> x3 0.19469026 0.013100467 0.020683831
#> x4 0.04085748 0.296314299 0.009867704
#> x5 0.03782595 0.274328456 0.009135543
#> x6 0.03943032 0.285964011 0.009523024
#> x7 0.02995246 0.004581766 0.134308145
#> x8 0.05793031 0.008861480 0.259762053
#> x9 0.04574184 0.006997034 0.205108390
#> 
#> $inflation
#> [1] 4.907251

How to Contribute or Get Help

If you encounter a bug, have a feature request or need some help, open a Github issue. Create a pull requests to contribute. This project follows a Contributor Code of Conduct.

The logo is adapted from AutoDraw and licensed under CC BY 4.0.

JonasMoss/reliable documentation built on Nov. 18, 2019, 5:34 a.m.