getSRMR.Sigma.mgroups

Computes SRMR given the model-implied and the observed (or population) covariance matrix for multiple group models
using the Hu &amp; Bentler approach to standardization and the MPlus approach to multiple group sampling weights
(weight squared sums of residuals).

Provides a-priori, post-hoc, and compromise power-analyses
for structural equation models (SEM).

Morten Moshagen

semPower

Power Analyses for SEM

Martina Bader

getSRMR.Sigma.mgroups function

<dl><dt>SigmaHat</dt>
<dd>a list of model implied covariance matrices</dd>
<dt>S</dt>
<dd>a list of observed (or population) covariance matrices</dd>
<dt>muHat</dt>
<dd>model implied mean vector</dd>
<dt>mu</dt>
<dd>observed (or population) mean vector</dd>
<dt>N</dt>
<dd>a list of group weights</dd></dl>

Arguments

getSRMR.Sigma.mgroups — getSRMR.Sigma.mgroups

<dl>

<dt>SigmaHat</dt>
<dd>a list of model implied covariance matrices</dd>


<dt>S</dt>
<dd>a list of observed (or population) covariance matrices</dd>


<dt>muHat</dt>
<dd>model implied mean vector</dd>


<dt>mu</dt>
<dd>observed (or population) mean vector</dd>


<dt>N</dt>
<dd>a list of group weights</dd>

</dl>

getSRMR.Sigma.mgroups: getSRMR.Sigma.mgroups

Description

Usage

Value

Arguments