Natural sciences, Social science



Enrolment key for application: sem-2014

Course date

10 May - 27 June, 2014
Application deadline:
14 February, 2014

Target group

Anyone with a solid knowledge of regression analysis who wish to take their knowledge beyond into the realm of Structural Equation Modeling and wish to apply the method to their research.  The course can be useful for anyone from early career graduate student to late career researchers with these goals.


A solid understanding of linear regression that goes beyond knowing how to run a regression in the software and interpret the results; an in-depth understanding of how multiple regression works and what its assumptions are.  The knowledge level does NOT have to include the understanding of mathematical proofs related to the OLS estimator as this is mainly an applied statistics course.  Basic understanding of maximum likelihood estimation is a plus but we will also go through it.  Information necessary for this class is described well in the following texts:  Michael Lewis-Beck. (1980). Applied Regression: An Introduction. Newbury Park, CA: Sage and John Fox. (1991) Regression Diagnostics. Newbury Park, CA: Sage.
If you wish to attend the on-campus component (or for maximum utility) of the course, you should also be comfortable to conduct basic data management, import and export and the analyses described in the listed books in at least one statistical package of your choice.  You also need to be open to learning other statistical packages.  

Language requirement

The language of instruction is English, thus all applicants have to demonstrate a strong command of spoken and written English to be able to participate actively in discussions at seminars and workshops. Some of the shortlisted applicants may be contacted for a telephone interview.