Mplus
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October 03, 2024
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Mplus
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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. A summary is given in Muthén, B. (2024). Mplus: A Brief Overview of its Unique Analysis Capabilities. Click here for other papers illustrating Mplus features.