The LEAD Graduate School & Research Network at Eberhard Karls University Tübingen (Nicole Tieben) and the Division of Empirical Educational and Higher Education Research at the Freie Universität Berlin (Martin Neugebauer) invite interested higher education researchers to apply for a two-day workshop in propensity score matching and event history modeling in higher education research. 


Thursday, September 14th, 2017:
Applying Propensity Score Matching in Postsecondary Education Research

Participants will learn about propensity score matching (PSM) methods that are now popular in the social sciences and increasingly used by education researchers.  After establishing a clear understanding of the underlying concepts, we will interrogate the application of PSM methods to education research issues. Participants will learn the proper application of, assumptions underlying, and how to estimate and interpret PSM models. In addition, references to the PSM literature and statistical code that is available will be provided.

Friday, September 15th, 2017:
Applying Event History Modeling in Postsecondary Education Research

Participants will learn about event history models (EHM) that are often used to study events that take place over time, such as student drop out and graduation. The workshop will provide participants with a solid understanding of the underlying contextual and statistical concepts, examine how EHM methods can be used to study education research issues, and provide examples of how to estimate and interpret event history models. In addition, references to the event history literature and statistical code that is available will be provided.

Please note that for organisational reasons it is not possible to apply for only one day. 


Prof. Stephen L. DesJardins (Michigan School of Education) will conduct this two-day workshop.

Stephen L. DesJardins is Professor in the Center for the Study of Higher and Postsecondary Education and the Evaluation Faculty Lead, Center for Education Design, Evaluation & Research (CEDER) in the School of Education at the University of Michigan. He also holds a faculty appointment in the Gerald R. Ford School of Public Policy at the University of Michigan and is an International Co-Investigator, Center for Global Higher Education at the University College-London. DesJardins received his doctorate in higher education with specializations in research and evaluation methods and the economics of education from the University of Minnesota. He has a master’s in public policy with a concentration in labor economics from the Hubert H. Humphrey Institute of Public Affairs, University of Minnesota. He received a bachelor of science degree in economics with a minor in political science from Northern Michigan University. His research is published widely in education- and economics-related journals, and he is on the editorial board of Economics of Education Review, a contributing editor to Research in Higher Education, and methods section editor of the annual, Higher Education: Handbook of Theory and Research. During his tenure as an institutional researcher, he was responsible for constructing one of the first comprehensive, system-level, longitudinal databases to track student outcomes.  He used this database to pioneer the application of statistical models (event history techniques) specifically designed to study the temporal processes that can be examined using longitudinal data.

The workshop will be held in English.


The workshop is funded by the BMBF Förderlinie "Studienerfolg und Studienabbruch". Participation is free of charge and includes refreshments during the workshop. Travel and accomodation have to be covered by participants.


The workshop takes place at the Free University Berlin. Click the "location-button" on this page for details and maps.


The workshop is at introductory level – however, a solid understanding of multivariate modeling and a working knowledge of STATA is a precondition to participate in the workshop. Both workshops will also provide an overview of the neccessary data structure – so that the workshop also is recommended for researchers who currently prepare their own data collection.

Computers and Software (STATA 14) are provided by the local organizers and exercises with ready-to-use data will enable a quick start of your own analyses.

Participants are welcome to bring their own data but should be aware that data preparation for own analyses might be time consuming. There will be opportunities to discuss individual questions and problems arising in own research projects with Prof. DesJardins and with other participants.


The application deadline is July 27th, 2017.

You will receive a notification of acceptance on July 30th, 2017.