buildModMedSemModel

Builds model for moderated mediation anaysis using SEM

When teaching statistics, it can often be desirable to
uncouple the content from specific software packages. To ease such
efforts, the Rosetta Stats website (<https://rosettastats.com>) allows
comparing analyses in different packages. This package is the companion
to the Rosetta Stats website, aiming to provide functions that produce
output that is similar to output from other statistical packages, thereby
facilitating 'software-agnostic' teaching of statistics.

Gjalt-Jorn Peters

rosetta

Parallel Use of Statistical Packages in Teaching

buildModMedSemModel function

<dl><dt>xvar</dt>
<dd>independent variable (predictor)</dd>
<dt>mvars</dt>
<dd>vector of names of mediators</dd>
<dt>yvar</dt>
<dd>dependent variable</dd>
<dt>xmmod</dt>
<dd>moderator of a path(s)</dd>
<dt>mymod</dt>
<dd>moderator of b path(s)</dd>
<dt>cmvars</dt>
<dd>covariates for predicting the mediators</dd>
<dt>cyvars</dt>
<dd>covariates for predicting the dependent variable</dd></dl>

Arguments

Builds model for moderated mediation anaysis using SEM — buildModMedSemModel

<dl>

<dt>xvar</dt>
<dd>independent variable (predictor)</dd>


<dt>mvars</dt>
<dd>vector of names of mediators</dd>


<dt>yvar</dt>
<dd>dependent variable</dd>


<dt>xmmod</dt>
<dd>moderator of a path(s)</dd>


<dt>mymod</dt>
<dd>moderator of b path(s)</dd>


<dt>cmvars</dt>
<dd>covariates for predicting the mediators</dd>


<dt>cyvars</dt>
<dd>covariates for predicting the dependent variable</dd>

</dl>

State of Data and AI Literacy Report 2025

buildModMedSemModel: Builds model for moderated mediation anaysis using SEM

Description

Usage

Value

Arguments

Examples