tenable across-group constraints in this context, rather than
rejecting the null-hypothesis for a specific parameter. The effect size
then refers to how much worse the constrained model fits the data
compared to the more general model (with less, or no across-group
constraints). Analytic solutions, like the likelihood ratio test by
<span class="citation">Satorra and Saris (1985)</span> or power analyses
based on the RMSEA by <span class="citation">MacCallum, Browne, and
Sugawara (1996)</span>, are more effi