Mplus
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December 12, 2017
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Mplus
Mplus at a Glance
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Special Mplus Topics
Bayesian SEM (BSEM)
Complex Survey Data
Exploratory SEM (ESEM)
Genetics
IRT
Measurement Invariance
Mediation Analysis
Missing Data
Mixture Modeling
Multilevel Modeling
Randomized Trials
Structural Equation Modeling
Survival Analysis
Time Series Analysis (DSEM)
How-To
Using Mplus via R
Mplus plotting using R
Chi-Square Difference
Test for MLM and MLR
Power Calculation
Monte Carlo Utility
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Mplus at a Glance

Mplus is a latent variable modeling program with a wide variety of analysis capabilities:

  • Exploratory factor analysis
  • Structural equation modeling
  • Item response theory analysis
  • Growth modeling
  • Survival analysis (continuous- and discrete-time)
  • Time series analysis (N=1 and multilevel)
  • Mixture modeling (latent class analysis)
  • Longitudinal mixture modeling (hidden Markov, latent transition analysis, latent class growth analysis, growth mixture analysis)
  • Multilevel analysis
  • Complex survey data analysis
  • Bayesian analysis
  • Monte Carlo simulation

    Mplus allows all these modeling features to be combined in a fully integrated general latent variable framework. Click here for papers illustrating these Mplus features.