Total and Indirect Effects of Variables — effectmeasures • gesca

In the user-specified structural equation model, this function calculates the total and indirect effects of (1) latent variables on other latent variables in the structural model and (2) latent variables on their indicators in the measurement model.

Usage

effectmeasures(object)

Arguments

object: An object of class. This can be created via the gesca.run function.

Details

The bootstrapped standard errors will be provided for all total and indirect effects. The user can specify the number of bootstrap samples via the gesca.run function. If the number of bootstrap samples is equal to 0, these standard errors will not be provided.

Value

Four matrices whose row and column names are the same as the names of indicators and latent variables.

References

Hwang, H., & Takane, Y. (2014). Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling (pp.119-123). Boca Raton, FL: Chapman & Hall/CRC Press.

See also

Examples

if (FALSE) {

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")
summary(GSCA.group)    # default output
effectmeasures(GSCA.group)  # total and indirect effects per group
GSCA.group.nbt0 <- gesca.run(myModel, gesca.rick2, group.name = "gender", nbt = 0)
effectmeasures(GSCA.group.nbt0)  # no bootstrapped standard error of parameters

# Second-order latent model with formative indicators
SndForm <- "
    # Measurement model
    OP(0) =~ cei1 + cei2 + cei3 + cei4 + cei5 + cei6 + cei7 + cei8
    OI(0) =~ ma1 + ma2 + ma3 + ma4 + ma5 + ma6
    AC_J(0) =~ orgcmt1 + orgcmt2 + orgcmt3 + orgcmt7
    AC_L(0) =~ orgcmt5 + orgcmt6 + orgcmt8

    # Second-order latents
    AC(0) =: AC_J + AC_L

    # Structural model
    OI ~ OP
    AC ~ OI
"

SndFormFit <- gesca.run(SndForm, gesca.rick2, "gender")
summary(SndFormFit)
effectmeasures(SndFormFit)
# Total/Indirect effects of latent variables on indicators
# will not be provided and instead, be reported as "NULL".

}