Multilevel modelling 2: multilevel structural equation modelling (SEM)Methodology courses and philosophy of science


Course information

ECTS: 2.5 
Number of sessions: 4
Hours per session: 3
Course fee:

  • free for PhD candidates of the Graduate School
  • € 475,- for non-members
  • consult our enrolment policy for more information

Contact:

Telephone: +31 (0)10 4082607 (Graduate School)


Session 1
April 17 (Wednesday) 2019
09:30-12:30
Location will be announced soon

Session 2
April 24 (Wednesday) 2019
09:30-12:30
Location will be announced soon

Session 3
May 1 (Wednesday) 2019
09:30-12:30
Location will be announced soon

Session 4
May 8 (Wednesday) 2019
09:30-12:30
Location will be announced soon


Aims and working methods

There are four sessions consisting of workshops with mini-lectures and practical training directly applied to participant work. Participants will be informed well in advance by email on how to prepare for the sessions.

Before each meeting, participants will have to (individually) follow the assigned parts of our Massive Open Online Course (MOOC) on Coursera.org

Note that while this course is a follow-up to the Multilevel Modelling I course (in which we mainly focussed on two level multilevel models with a 'continuous' response variable and the HLM program), attendance of the MLM I course is not pre-requisite to register for this course.


Learning objectives

The objective of this course is to introduce participants with a basic knowledge of multilevel models to some more advanced analyses approaches. Specifically, after we refreshed everyone’s multilevel knowledge with a short introduction to multilevel modelling, we will introduce participants to multilevel Structural Equation Modelling (SEM) and the MPlus program.

With multilevel SEM, participants will be able to build and analyse the (more) complex multilevel models that are becoming quite common in social sciences nowadays. For example, participants will run multilevel mediation analyses by specifying a multilevel path model in MPlus and directly testing the indirect effect of the predictor on the outcome.

In addition, participants will get the opportunity to practice with multilevel factor analysis, which will allow them to analyse multilevel models in which several observed variables (on different levels of the model) are indicators of (a set of) latent variables. As was the case in the MLM I course, participants will be able to shape the content of the course to a great degree, as they are encouraged to put forward the specific multilevel SEM models they are interested in. We will also reserve ample time for participants own research. Helping them with either the planning of their study, or with the analysis of their data.


Session descriptions

  • Session 1:
    Freshing up on multilevel modelling and an introduction to MPlus
    Preparation:

    • Bring your laptop to class
    • Install MPLus. Reading material to be announced.

  • Session 2:
    Multilevel SEM: Path Models and Factor Analysis
    Preparation:

    • Reading material to be announced
    • Bring your laptop to class

  • Session 3:
    Session reserved for topics brought in by participants
    Preparation:

    • Before class, send in question about your own research. You will receive personal feedback during class.
    • Bring your laptop to class

  • Session 4:
    Session reserved for topics brought in by participants
    Preparation:

    • Before class, send in question about your own research. You will receive personal feedback during class.
    • Bring your laptop to class


About the instructor

Dr. Joran Jongerling is an Assistant Professor at the EUR Department of Pedagogical and Education Sciences, where he convenes courses in research methodology, SPSS skills and applied multivariable data analysis. In his research he applies and analyses principles from Bayesian statistics, Multilevel analysis, and Structural Equation Modelling.