Print the output of stdmod_lavaan().
Usage
# S3 method for stdmod_lavaan
print(x, conf = 0.95, nd = 3, ...)Arguments
- x
The output of
stdmod_lavaan().- conf
If nonparametric bootstrapping has been conducted by
stdmod_lavaan(), this is the level of confidence in proportion (.95 denotes 95%), of the confidence interval. Default is .95.- nd
The number of digits to be printed.
- ...
Optional arguments. Ignored.
Author
Shu Fai Cheung https://orcid.org/0000-0002-9871-9448
Examples
# Load a test data of 500 cases
dat <- test_mod1
library(lavaan)
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")
out_noboot
#>
#> Call:
#> stdmod_lavaan(fit = fit, x = "iv", y = "med", w = "mod", x_w = "iv:mod")
#>
#> Variable
#> Focal Variable iv
#> Moderator mod
#> Outcome Variable med
#> Product Term iv:mod
#>
#> lhs op rhs est se z pvalue ci.lower ci.upper
#> Original med ~ iv:mod 0.257 0.025 10.169 0 0.208 0.307
#> Standardized med ~ iv:mod 0.440 NA NA NA NA NA
# Compute the standardized moderation effect and
# its percentile 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)
out_boot
#>
#> Call:
#> stdmod_lavaan(fit = fit, x = "iv", y = "med", w = "mod", x_w = "iv:mod",
#> boot_ci = TRUE)
#>
#> Variable
#> Focal Variable iv
#> Moderator mod
#> Outcome Variable med
#> Product Term iv:mod
#>
#> lhs op rhs est se z pvalue ci.lower ci.upper
#> Original med ~ iv:mod 0.257 0.033 7.725 0 0.173 0.297
#> Standardized med ~ iv:mod 0.440 NA NA NA 0.316 0.520
#>
#> Confidence interval of standardized moderation effect:
#> - Level of confidence: 95%
#> - Bootstrapping Method: Nonparametric
#> - Type: Percentile
#> - Number of bootstrap samples requests:
#> - Number of bootstrap samples with valid results: 50
#>
#> NOTE: Bootstrapping conducted by the method in 0.2.7.5 or later. To use
#> the method in the older versions for reproducing previous results, set
#> 'use_old_version' to 'TRUE'.