Mediation Analysis for cSEM Models

Usage

# S3 method for class 'cSEMResults'
rmedsem(
  mod,
  indep,
  med,
  dep,
  approach = c("bk", "zlc"),
  p.threshold = 0.05,
  effect.size = c("RIT", "RID", "upsilon"),
  nbootstrap = 1000,
  ci.two.tailed = 0.95,
  ...
)

Arguments

mod: A fitted SEM model (cSEM).
indep: A string indicating the name of the independent variable in the model.
med: A string indicating the name of the mediator variable in the model.
dep: A string indicating the name of the dependent variable in the model.
approach: either 'bk' or 'zlc' or both c("bk", "zlc") (default)
p.threshold: A double giving the p-value for determining whether a path is significant or not
effect.size: calculate different effect-sizes; one or more of "RIT", "RID"
nbootstrap: number of bootstrap samples, default=1000
ci.two.tailed: A double giving the confidence level for two-tailed confidence intervals (default 0.95)
...: additional arguments (currently unused)

Value

A rmedsem structure containing the results from the analysis