3" class="external-link">Oertzen, Hertzog,
Lindenberger, and Ghisletta (2010)</a> 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 on <a 