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Mplus Version 8.9 is now available. Mplus Version 8.9 includes corrections to minor problems that have been found since the release of Version 8.8 in April 2022 as well as the following new features
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Mplus Version 8.1, June 5, 2018
Mplus Version 8.1 is now available. Mplus Version 8.1 includes corrections to minor problems that have been found since the release of Version 8 in April 2017 as well as the following new features:
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New Mplus paper: Advances in Bayesian Model Fit Evaluation for Structural Equation Models. Submitted for publication.
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In all models, missingness is not allowed for the observed covariates because they are not part of the model. The model is estimated conditional on the covariates and no distributional assumptions are made about the covariates. Covariate missingness can be modeled if the covariates are brought into the model and distributional assumptions such as normality are made about them. With missing data, the standard errors for the parameter estimates are computed using the observed information matrix (Kenward & Molenberghs, 1998). Bootstrap standard errors and confidence intervals are also available with missing data.
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