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This helps diagnose problematic analyses of bootstrap draws. The new feature is described in the technical appendix Bootstrap Computational Problems
The resulting speed-up is particularly noteworthy for multilevel and time series (DSEM/RDSEM) analyses where in some cases the computing time is cut in half and even cut down to 20% of the version 8.2 timings.
Standardization for two-level models with random slopes and random variances
Random slopes for covariates with missing data
New within/between scatter plots and histograms for two-level models, including sample and model-estimated cluster-specific means and variances
New Posterior Predictive P-values for BSEM (PPPP; Hoijtink & deSchoot, 2017; Asparouhov & Muthén, 2017)
Output in HTML format
New version of Mplus Web Note 21 with a new section 8 discussing 3-step and BCH methods for RI-LTA: Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model.
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