![]() ![]() New Mplus paper: Serang, S., Jacobucci, R., Stegmann, G., Brandmaier, A.Scripts are available on our RI-LTA page. New Mplus paper: A better way to do LTA - Latent transition analysis with random intercepts (RI-LTA).Presentation by Bengt Muthén at the joint Stats/RMME colloquium, UCONN November 20, 2020. Recent Advances in Latent Variable Modeling.New version of Mplus Web Note 21 with a new section 10 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. ![]() Presentation by Bengt Muthén at the Data Science in the Social and Behavioral Sciences Virtual Opening Workshop on SEMs, DAGs, and Causal Inference, January 11, 2021. Effect Estimation with Latent Variables. ![]() 2 is now available: Using Mplus for LTA and RI-LTA. 46 Years Later: A Better Fitting Longitudinal SEM.
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