MCStd2

Computes standardized estimates, standard errors, and confidence intervals
based on Monte Carlo samples from a <code>semmcci</code> object. This function fully standardizes
both point estimates and sampling distributions (including intercepts).

internal

Within-subject mediation analysis using structural equation modeling.
Examine how changes in an outcome variable between two conditions are mediated
through one or more variables. Supports within-subject mediation analysis using
the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>,
and extends Monte Carlo confidence interval estimation to missing data scenarios
using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.

Wendie Yang

wsMed

Within-Subject Mediation Analysis Using Structural Equation
Modeling

Shu Fai Cheung

MCStd2 function

<dl><dt>mc</dt>
<dd>A Monte Carlo result object of class <code>semmcci</code>, typically from <code>MC()</code> or <code>MCMI()</code>.</dd>
<dt>alpha</dt>
<dd>A numeric vector of significance levels (default: <code>c(0.001, 0.01, 0.05)</code>).</dd></dl>

Arguments

Monte Carlo Summary for Standardized Estimates — MCStd2

<dl>

<dt>mc</dt>
<dd>A Monte Carlo result object of class <code>semmcci</code>, typically from <code>MC()</code> or <code>MCMI()</code>.</dd>


<dt>alpha</dt>
<dd>A numeric vector of significance levels (default: <code>c(0.001, 0.01, 0.05)</code>).</dd>

</dl>

MCStd2: Monte Carlo Summary for Standardized Estimates

Description

Usage

Value

Arguments

Details