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April 24, 2014
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Mplus Website Updates

Mplus Base Program
What's New In Version 3

SEM

  • New features for categorical outcomes
  • Regression, path analysis, factor analysis, SEM, growth modeling using ML-EM
    ML-EM using numerical integration
    ML missing data under MAR
    WLMSV missing data under covariate-MAR
    WLSMV chi-square difference testing
    WLSMV modification indices

  • New types of outcomes
  • Counts - Poisson and zero-inflated Poisson modeling
    Censored - Censored-normal and censored-inflated normal
        Regression, path analysis, factor analysis, SEM, growth modeling using ML-EM
        ML-EM using numerical integration
        ML missing data under MAR

  • Random Slopes
  • Categorical outcomes
    Slopes for exogenous observed variables
    Slopes for endogenous observed variables
    Slopes for continuous latent variables

  • Interactions between continuous latent variables and between continuous latent variables and observed variables using ML
  • Continuous factor indicators
    Categorical factor indicators

  • Non-linear factor analysis

  • Indirect effects

  • Bootstrap standard errors and confidence intervals

  • Nonlinear constraints
  • Growth Modeling

  • New language

  • Categorical outcomes using ML-EM via numerical integration

  • Two-part growth modeling

  • Interaction modeling, for example, between initial status and a time-invariant covariate

  • Automatic starting values for growth factor means and variances for continuous outcomes