Mplus is a powerful statistical package used for the analysis of latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation 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 among the growth trajectories?”. Mplus runs under Windows. This workshop is designed for people who are just getting started using Mplus to orient them 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.

Mplus version 8 was used for this seminar.

**Class notes**

a) Basic Syntax

b) Basic data analysis

c) Latent variable modeling

d) Advanced topics

- Freeing, Constraining, and Testing Parameters
- Latent Class and Other Mixture Models
- Modeling Longitudinal Data

**Data files for the workshop**

**See also**

**Recommended reading**

- See the Mplus User’s Guide
- Data Analysis with Mplus by Christian Geiser (2012)
- An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches Using Mplus, Third Edition by Ronald H. Heck and Scott L. Thomas (2015)
- Higher-order Growth Curves and Mixture Modeling with Mplus: A Practical Guide by Kandauda K. A. S. Wickrama, Tae Kyoung Lee, Catherine Walker O’Neal and Frederick O. Lorenz (2016)
- Structural Equation Modeling with Mplus: Basic Concepts, Applications and Programming by Barbara M. Byrne (2011)
- Using Mplus for Structural Equation Modeling: A Researcher’s Guide, Second Edition by E. Kevin Kelloway (2014)
- Structural Equation Modeling: Applications Using Mplus by Jichuan Wang and Xiaoqian Wang (2012)