ntenable 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 <a href="https://doi.org/10.1007/BF02294150" class="external-link">Satorra and Saris (1985)</a>
or power analyses based on the RMSEA by <a href="https://doi.org/10.1037/1082-989