2 August 2019
Using Mplus for Latent-Variable Modeling: An Introduction
This short course introduces the statistical software Mplus and demonstrates the basic programming skills for analyzing multivariate statistical problems, such as structural equation models (SEM) with Mplus. Mplus is one of the most widely used software packages for analyzing such latent variable models. The main objective of the course is to understand the basic features of Mplus, the syntax of its code, and the appropriate work flow. Participants will learn how to prepare and load their data, become familiar with the structure of Mplus input and output files and learn how to write Mplus syntax of simple and more complex latent variable models. Rather than introducing specific statistical models, the course will focus on the more general task of handling the Mplus software and equip participants with the skills needed to implement their own statistical models. The participants are expected to be familiar with the general idea of statistical analysis, regression models, and sound knowlegde about factor analysis. Basic knowledge about latent variable modeling and structural equation modeling is helpful. Aspects such as specifying models, choosing appropriate estimation methods, and handling missing data will be covered.
Dr. Matthias Blümke is senior researcher and deputy head of team "Survey Design and Methodology" at GESIS.
Dr. Ai Miyamoto is postdoctoral researcher in the team “Scale Development and Documentation” at GESIS.
Dr. Clemens Lechner is senior researcher i
Participants will find the course useful if they:
- want to use latent variables or apply structural equation modeling (SEM);
- are interested in extending their technical/programming skills and are curious about a powerful statistical software;
- attend the course “Introduction to Structural Equation Modeling” in week 1 of the summer school.
- Good knowledge of basic uni- and multivariate statistics (especially regression and factor analysis).
- At least basic understanding of latent variables and structural equation modeling (SEM).
- No previous experience with Mplus required.
By the end of the course participants will:
- know how to prepare data for Mplus analysis and/or use Mplus directly from Stata or R;
- be able to understand the Mplus syntax and write Mplus code for basic and more advanced (latent variable) models;
- be able to interpret Mplus output for typical latent-variable models;
- be able to translate fundamental statistical aspects of SEM into Mplus code.
EUR 120: Student/PhD student rate.
EUR 180: Academic/non-profit rate.
The rates include the tuition fee, course material, access to library and IT facilities and coffee/tea/soft drinks.