gemm: Analyze moderated mediation model using SEM

In psytext/rosetta: Parallel Use of Statistical Packages in Teaching

Description

Analyze moderated mediation model using SEM

Usage

gemm(data = NULL, xvar, mvars, yvar, xmmod = NULL, mymod = NULL,
  cmvars = NULL, cyvars = NULL, estMethod = "bootstrap",
  nboot = 1000)

Arguments

data	data frame
xvar	predictor variable, must be either numerical or dichotomous
mvars	vector of names of mediator variables
yvar	dependent variable, must be numerical
xmmod	moderator of effect predictor on mediators, must be either numerical or dichotomous
mymod	moderator of effect mediators on dependent variable, must be either numerical or dichotomous
cmvars	covariates for mediators
cyvars	covariates for dependent variable
estMethod	estimation of standard errors method, bootstrap is default
nboot	number of bootstrap samples

Value

gemm object

Examples

data("cpbExample")
       res <- gemm(dat = cpbExample, xvar="procJustice", mvars= c("cynicism","trust"),
       yvar = "CPB", nboot=500)
print(res)

psytext/rosetta documentation built on Dec. 5, 2019, 10:16 a.m.