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 discretetime)
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.
