Mplus is a powerful statistical package for the analysis of latent variables. Among the kinds of analysis it can perform are confirmatory factor analysis, latent class analysis, latent growth curve modeling, and multilevel modeling. The program can handle a combination of categorical and continuous variables and often permits missing data. It integrates these analyses into a single framework where you can combine techniques like growth curve modeling and latent class analysis to ask unique questions, such as "Are there latent classes amongst the growth trajectories?". Mplus runs under Windows. This class is designed for people who are just getting started using Mplus to orient people to the nuts and bolts of using this package. These notes are the scripts for the seminar. The notes are not meant to be a Mplus textbook or substitute for the reference manual.
The content of this web site should not be construed as an endorsement of any particular web site, book, or software product by the University of California.