jmv: reliability – R documentation

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jmv

reliability

Reliability Analysis

Description

Reliability Analysis

Usage

reliability(
  data,
  vars,
  alphaScale = TRUE,
  omegaScale = FALSE,
  meanScale = FALSE,
  sdScale = FALSE,
  corPlot = FALSE,
  alphaItems = FALSE,
  omegaItems = FALSE,
  meanItems = FALSE,
  sdItems = FALSE,
  itemRestCor = FALSE,
  revItems = NULL
)

Arguments

`data`	the data as a data frame
`vars`	a vector of strings naming the variables of interest in `data`
`alphaScale`	`TRUE` (default) or `FALSE`, provide Cronbach's alpha
`omegaScale`	`TRUE` or `FALSE` (default), provide McDonald's omega
`meanScale`	`TRUE` or `FALSE` (default), provide the mean
`sdScale`	`TRUE` or `FALSE` (default), provide the standard deviation
`corPlot`	`TRUE` or `FALSE` (default), provide a correlation plot
`alphaItems`	`TRUE` or `FALSE` (default), provide what the Cronbach's alpha would be if the item was dropped
`omegaItems`	`TRUE` or `FALSE` (default), provide what the McDonald's omega would be if the item was dropped
`meanItems`	`TRUE` or `FALSE` (default), provide item means
`sdItems`	`TRUE` or `FALSE` (default), provide item standard deviations
`itemRestCor`	`TRUE` or `FALSE` (default), provide item-rest correlations
`revItems`	a vector containing strings naming the varibales that are reverse scaled

Value

A results object containing:

`results$scale`					a table
`results$items`					a table
`results$corPlot`					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$scale$asDF

as.data.frame(results$scale)

Examples

data('iris')

reliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),
            omegaScale = TRUE)

#
#  RELIABILITY ANALYSIS
#
#  Scale Reliability Statistics
#  -----------------------------------------
#             Cronbach's alpha    McDonald's omega
#  -----------------------------------------
#    scale           0.708           0.848
#  -----------------------------------------
#

jmv

The 'jamovi' Analyses

v1.2.23

GPL (>= 2)

Authors

Ravi Selker, Jonathon Love, Damian Dropmann

Initial release

2020-06-26