summary.gesca: A Summary and Parameter Estimates of a Fitted Model In gesca: Generalized Structured Component Analysis (GSCA)

Description

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

Usage

 ```1 2``` ```## S3 method for class '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.

`gesca.run`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20``` ```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) ```