qualmeasures {gesca} | R Documentation |
Reliability and Validity Measures
Description
A variety of reliability and validity measures.
Usage
qualmeasures(object)
Arguments
object |
An object of class. This can be created via the |
Details
Cronbach's alpha and Dillon-Goldstein's rho (or the composite reliability) can be used for checking internal consistency of indicators for each latent variable. The average variance extracted (AVE) can be used to examine the convergent validity of a latent variable. The number of eigenvalues greater than one per block of indicators can be used to check uni-dimensionality of the indicators.
Value
Numeric vectors of the reliability and validity measures.
See Also
Examples
library(gesca)
data(gesca.rick2) # Organizational identification example of Bagozzi
# Model specification
myModel <- "
# Measurement model
OP =~ cei1 + cei2 + cei3
OI =~ ma1 + ma2 + ma3
AC_J =~ orgcmt1 + orgcmt2 + orgcmt3
AC_L =~ orgcmt5 + orgcmt6 + orgcmt8
# Structural model
OI ~ OP
AC_J ~ OI
AC_L ~ OI
"
# Run a multiple-group GSCA with the grouping variable gender:
GSCA.group <- gesca.run(myModel, gesca.rick2, group.name = "gender", nbt=50)
qualmeasures(GSCA.group)
[Package gesca version 1.0.5 Index]