 Asparouhov, T., Muthén, B. & Morin, A. J. S. (2015). Bayesian structural equation modeling with crossloadings and residual covariances: Comments on Stromeyer et al.
 Muthén, B. & Asparouhov T. (2015). Growth mixture modeling with nonnormal distributions. Statistics in Medicine, 34:6, 1041–1058. doi: 10.1002/sim6388
 Asparouhov, T. & Muthén, B. (2014). General random effect latent variable modeling: Random subjects, items, contexts, and parameters. Version 2. Forthcoming in the edited book "Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in RealWorld Applications”.
 Asparouhov, T. & Muthén, B. (2014). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary second model. Web note 21.
 Asparouhov, T. & Muthén B. (2014). Structural equation models and mixture models with continuous nonnormal skewed distributions. Web note 19. Version 2. Download Mplus inputs and outputs used in this paper here.
 Muthén, B. & Asparouhov, T. (2014). IRT studies of many groups: The alignment method. Frontiers in Psychology, Volume 5, DOI: 10.3389/fpsyg.2014.00978
 Asparouhov, T. & Muthen, B. (2014). Residual associations in latent class and latent transition analysis. Structural Equation Modeling: A Multidisciplinary Journal. DOI:10.1080/10705511.2014.935844
 Muthén, B. & Asparouhov, T. (2014). Causal effects in mediation modeling: An introduction with applications to latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 22(1), 1223. DOI:10.1080/10705511.2014.935843
 Asparouhov, T. & Muthén, B. (2014). Auxiliary variables in mixture modeling: Threestep approaches using Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 21:3, 329341. The posted version corrects several typos in the published version. An earlier version of this paper was posted as web note 15. Appendices with Mplus scripts are available here.
 Asparouhov, T. & Muthén, B. (2014). Multiplegroup factor analysis alignment. Structural Equation Modeling: A Multidisciplinary Journal, 21:4, 495508. DOI: 10.1080/10705511.2014.919210. An earlier version of this paper was posted as web note 18.
Mplus input, output, and data files for Web Note 18 Monte Carlo simulations are available here.
 Asparouhov, T. & Muthén, B. (2014). Using Mplus individual residual plots for diagnostic and model evaluation in SEM. Web note 20.
 Muthén, B. & Asparouhov, T. (2013). New methods for the study of measurement invariance with many groups. Mplus scripts are available here.
 Muthén, B. & Asparouhov, T. (2013). Item response modeling in Mplus: A multidimensional, multilevel, and multitimepoint example.
 Version 7 papers are available here.
