Introduction to Structural Equation Modelling using Mplus
The main objective of this course is to learn how to analyze several models with Mplus (e.g., path models, multiple group models, cross-lagged models, CFA, EFA, growth models, introduction to Bayesian models). No previous knowledge of Mplus is assumed, but prior knowledge of SEM, however not mandatory, will make this course more useful.
More and more researchers in the social and behavioural sciences are using, or want to use, Structural Equation Modelling (SEM) to investigate their theories. Mplus is a popular and flexible software package for doing SEM. We offer a 5-day course on how to perform basic SEM analyses using Mplus.
The course starts with an introduction on how to use Mplus to perform regression analysis and how to ‘communicate’ with Mplus (e.g., how to specify a model, and how to deal with error messages). The second day introduces multiple group models and confirmatory factor analysis. On the third day, longitudinal models (cross-lagged panel designs and latent growth curves) are presented. The fourth day is a gentle introduction into Bayesian statistics using Mplus. On the fifth day participants can meet with Mplus experts for individual consultation, and work on their own data. On each day, the morning session consists of lectures, and the afternoon session of a computer lab where participants practice with Mplus.
Researchers are expected to have a basic knowledge of regression analysis and exploratory factor analysis (i.e., principal component analysis). These techniques are discussed in most books on multivariate statistics (e.g., Andy Field: Discovering Statistics; Tabachnick and Fidell: Using multivariate statistics). Some knowledge of SEM and software like AMOS, LISREL, Mx or EQS is helpful, but not mandatory. If you have no experience with SEM, please read the following paper: Hox, J. J. & Bechger, T.M. (2007). An introduction to structural equation modelling. Family Science Review, 11, 354-373. Accessibel via www.joophox.net
No previous knowledge of Mplus is assumed. You do not need to know matrix algebra, calculus, or likelihood theory, or any knowledge on Bayesian statistics.
Dr. Rens van de Schoot
Dr. Rens van de Schoot, Dr. Peter Lugtig and Dr. Joop Hox
Participants (Research Master Students, PhD students, or post-graduate researchers) from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication sciences, will benefit from the course.
A maximum of 80 participants will be allowed in this course.
The main objective of the course is to acquire a basic understanding of how to use Mplus for SEM as applied in the social and behavioural sciences. Moreover, participants will learn how to analyze data sets with Mplus, to interpret the output and to report the results.
On each day, the morning session consists of lectures, and the afternoon session of a computer lab where everyone can practice working with Mplus. On the fifth day there is room for individual consultations with Mplus experts and room to work on your own data.
• € 800 - Course + course materials + housing
• € 600 - Course + course materials
Tuition for PhD students from the Faculty of Social and Behavioural Sciences will be funded by the Graduate School of Social and Behavioural Sciences.
The course Introduction to Structural Equation Modelling using Mplus can be combined with the following courses.
Advanced course on using Mplus
25-08-2014 - 29-08-2014 | 1.5 ECTS | € 800
Utrecht Summer School doesn't offer scholarships for this course.
Deadline for registration: 01 August 2014
Course fully booked