Standardized Moderation Effect in a 'stdmod_lavaan' Class Object

Return the estimate of the standardized moderation effect in the output of stdmod_lavaan().

Usage

# S3 method for class 'stdmod_lavaan'
coef(object, ...)

Arguments

object

The output of stdmod_lavaan().

...

Optional arguments. Ignored by the function.

Value

A scalar: The estimate of the standardized moderation effect.

Details

It just extracts and returns the element stdmod.

Author

Shu Fai Cheung https://orcid.org/0000-0002-9871-9448

Examples

# Load a test data of 500 cases
dat <- test_mod1
library(lavaan)
#> This is lavaan 0.6-18
#> lavaan is FREE software! Please report any bugs.

mod <-
"
med ~ iv + mod + iv:mod + cov1
dv ~ med + cov2
"
fit <- sem(mod, dat)
coef(fit)
#>     med~iv    med~mod med~iv:mod   med~cov1     dv~med    dv~cov2   med~~med 
#>      0.221      0.104      0.257      0.104      0.246      0.191      0.201 
#>     dv~~dv 
#>      0.169 

# Compute the standardized moderation effect
out_noboot <- stdmod_lavaan(fit = fit,
                            x = "iv",
                            y = "med",
                            w = "mod",
                            x_w = "iv:mod")
coef(out_noboot)
#> [1] 0.4397874

# Compute the standardized moderation effect and
# its confidence interval based on nonparametric bootstrapping
# Fit the model with bootstrap confidence intervals
# At least 2000 bootstrap samples should be used
# in real research. 50 is used here only for
# illustration.
fit <- sem(mod, dat, se = "boot", bootstrap = 50,
           iseed = 89574)
out_boot <- stdmod_lavaan(fit = fit,
                          x = "iv",
                          y = "med",
                          w = "mod",
                          x_w = "iv:mod",
                          boot_ci = TRUE)
coef(out_boot)
#> [1] 0.4397874