jmv (version 2.5.6)

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)

Value

A results object containing:

results$scale					a table
results$items					a table
results$corPlot					an image
results$meanScoreOV					an output
results$sumScoreOV					an output

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

results$scale$asDF

as.data.frame(results$scale)

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

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
#  -----------------------------------------
#