e indicators on power. For example, <span class="citation">Oertzen et al. (2010)</span> claim that the the
separation of measurement error from true score variance increases
power, and that this principle generalizes to all structural equation
models, regardless of the regression model linking the latent variables.
This implies that MI-RICLPM’s have more power than the basic
RI-CLPM.</p>
<p>To verify this, a small simulation study was performed using Mplus
(model syntax for these simulations can be found 