Natural sciences, Social science



Enrolment key for application: sem-2014

Course date

10 May - 27 June, 2014
Application deadline:
14 February, 2014
Course Director(s): 

Matteo Fumagalli

Department of International Relations and European Studies, Central European University, Budapest, Hungary
Course Faculty: 

Levente Littvay

Department of Political Science / Doctoral School of Political Science, Public Policy and International Relations, Central European University, Budapest, Hungary
The method is designed to test causal structures that go beyond one dependent and multiple independent variables of regression models.  It allows for the assessment of complex multivariate relationships between observed variables with the inclusion of latent variable models.  For example, causal structures are becoming increasingly important when testing relationships that are mediated.  Latent variable models are useful when multiple indicators of the same underlying construct are measured.  Such models allow for a more measurement error free estimation of relationships.  The course instructs both the theoretical foundations (online) and the applied use (on-campus) of structural equation models discussing both the powers and limitations of the method.  Solid knowledge of multivariate regression and basic knowledge of factor analysis is a non-negotiable pre-requisite for the course.
This summer course is financed through tuition fees (600 EUR for online instruction / 1,000 EUR for a combination of online and on-campus instruction); scholarships or tuition waivers are not available. (If the course is cancelled due to low enrollment, 100% of the tuition fee will be refunded by the end of March.)
The online module will be available starting from 10 May, 2014; the on-campus module will be held 24-27 June, 2014 in Budapest.


Online: The course offers a complete introduction to structural equation modeling (SEM).
On-campus: The offline component of the course offers a computer laboratory workshop to the course where examples of path, confirmatory factor and full structural models will be presented.  After this, people will have the opportunity to work on, present and refine their own research projects using SEM.

Learning outcomes

Online: After the completion of the course people will be able to understand applied research papers using structural equation models.  They will have the ability to pick up a SEM software’s user manual and start applying the theoretically based knowledge to real life research.
On-campus: After the completion of the workshop people will have the ability to run structural equation models (including path models, confirmatory factor models and full structural models) in a statistical software.  Additionally people will gain invaluable experience through the practice of both developing and refining their own research using structural equation models and reviewing, assessing and commenting on others’ work.


  • Online: Online Learning Checks (100%)
  • On-campus: Computer Based Exercises (30%)
  • Presentation (30%)
  • Final Research Paper (40% due September 5)


May 10 - June 23, 2014
Videos will be available from 10 May onwards. 
June 24-27, 2014