Germany, Cologne

Introduction to Data Analysis Using Mplus

when 3 August 2017 - 4 August 2017
language English
duration 1 week
fee EUR 100

This short course introduces the statistical software Mplus. Mplus is one of the most widely used software packages for analysing latent variable models. The main objective of this course is to understand the basic features of Mplus, its syntax, 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 and basic regression models. Basic knowlegde about factor analysis is helpful. Aspects such as specifying models, choosing appropriate estimation methods, and handling missing data will be covered.
You can download the full syllabus with the day-to-day schedule and literature here.

Course leader

Dr. Matthias Blümke is a senior researcher at the GESIS. Dr. Daniel Danner is a senior survey methodologist, researcher, and head of the team “Scale Development and Documentation” at GESIS. Dr. Clemens Lechner is a senior researcher in the Department of S

Target group

Participants will find the course useful if:
- they want to apply latent variable or structural equation modelling
- they are interested in extending their technical skills and are curious about a powerful statistical software
- they attend one or more of the following courses at the GESIS Summer School:
Course 2: Introduction to Structural Equation Modeling
Course 6: Structural Equation Modeling for Longitudinal and Panel Data
Course 7: Assessing Measurement Quality

Course aim

By the end of the course participants will:
- know how to prepare data for Mplus analysis
- be able to understand and write Mplus syntax for basic and more advanced (latent variable) models
- be able to interpret Mplus output.

Fee info

EUR 100: Student/PhD student rate.
EUR 140: Academic/non-profit rate.
The rates include the tuition fee, course materials, access to library and IT facilities and coffee/tea.