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
Mixture modeling (latent class analysis)
Longitudinal mixture modeling (hidden Markov, latent transition analysis, latent class growth analysis, growth mixture analysis)
Survival analysis (continuous and discretetime)
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.
