qualmeasures: Reliability and Validity Measures

In gesca: Generalized Structured Component Analysis Structural Equation Modeling

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 gesca.run function.

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

gesca.run

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)

gesca documentation built on Oct. 22, 2024, 9:06 a.m.