wsMed (version 1.0.2)

run_mc_mediation: Run Monte Carlo-Based Mediation Inference

Description

Performs Monte Carlo simulation to estimate confidence intervals for both unstandardized and (optionally) standardized mediation parameters, based on fitted SEM models.

Usage

run_mc_mediation(
  fit,
  data,
  standardized = FALSE,
  R = 20000,
  seed = 123,
  alpha = 0.05,
  alphastd = 0.05
)

Value

A list with unstandardized and (if requested) standardized results. Each result includes Monte Carlo estimates, SEs, and CIs.

Arguments

fit

A fitted lavaan model.

data

The dataset used for the fitted model.

standardized

Logical. If TRUE, standardized results will also be returned. Default is FALSE.

R

Integer. Number of Monte Carlo replications. Default is 20000.

seed

Integer. Random seed for reproducibility. Default is 123.

alpha

Numeric value for the confidence level of unstandardized Monte Carlo intervals. Default is 0.05.

alphastd

Numeric value for the confidence level of standardized Monte Carlo intervals. Default is 0.05.