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A Summary and Parameter Estimates of a Fitted Model

summary.gesca.Rd

A summary of a fitted model such as model fit measures and parameter estimates obtained from GSCA.

Usage

# S3 method for gesca
summary(object, ...)

Arguments

object

This function prints out a nice summary of the fitted model by the gesca.run function, including (1) information on convergence of the alternating least-squares (ALS) algorithm, (2) the number of observations (per group), parameters, and bootstrap samples, (3) six model fit measures, (4) GSCA parameter estimates such as weights, loadings, and path coefficients, and (5) R-squared values of each endogenous latent variable.

...

Further arguments passed to or from other methods.

Value

Object values of general information and parameter estimates of a fitted model via the gesca.run function.

References

Hwang, H., & Takane, Y. (2014). Generalized structured component analysis: A Component-Based Approach to Structural Equation Modeling (p.26). Boca Raton, FL: Chapman & Hall/CRC Press.

See also

gesca.run

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", nbt=50)
summary(GSCA.group)

}