Stat Computing > Seminars > Latent Variable Modeling Mplus 3

Statistical Computing Seminars
Statistical Analysis with Latent Variables using Mplus 3

Mplus is a powerful data analysis package which is built on a general modeling framework that achieves its flexibility from using a combination of categorical and continuous latent variables. This framework gives as special cases structural equation modeling (SEM), growth modeling, mixture (latent class) modeling, and multilevel modeling. The framework fully integrates these types of models to provide many new model extensions. Mplus Version 3 is even more powerful and easy to use, adding many unique modeling, algorithmic, and model testing features for SEM, mixture modeling, and multilevel modeling, as well as a simplified growth modeling language, graphical output of results such as estimated growth mixture curves, and automatically generated starting values with random perturbations for exploratory latent class analysis and growth mixture modeling. This seminar will explore the kinds analyses that are possible using Mplus version 3.

• View the movies of this seminar
  • Part 1
  • Part 2
  • Part 3
  • Part 4
  • See how we made these movies
• Additional files
  • Download and view the PowerPoint slides for this seminar (as a .PDF file)
  • Download the data files and Mplus statements illustrated in this seminar (as a .zip file)

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