Dirk P. Janssen


  • The Netherlands


  • SE4 Methods for 1st year
  • Communication module for Masters in Media Management


  • Psychophysiological and biometric approaches to games and media
  • Methods and Statistics
  • Psychology of language

Previous Jobs

  • Lecturer at the University of Kent, Canterbury, UK
  • Researcher at the University of Leipzig, Germany
  • Post-doctoral researcher at the University of Arizona, Tucson, USA and at the University of Illinois, Urbana-Champaign, USA.
  • Technical consultant to the FC Donders Center for Cognitive Neuroscience, Nijmegen, the Netherlands
  • PhD obtained in 1999 from the Max-Planck-Institut for Psycholinguistics, Nijmegen and the University of Nijmegen, the Netherlands


For By the Bridge Therapeutic Foster services (http://www.bythebridge.co.uk/) I developed a method to screen potential foster parents. This work was done in close collaboration with Magda Welfel and supported by a UK KTP grant (http://www.ktponline.org.uk/).

I supported the Personal Social Services Research Unit in the UK (http://www.pssru.ac.uk/) with large scale data analysis of health-related data, using Hierarchical Linear Models (mixed models).


I have given a number of 1 to 3 day workshops on statistical and methodological topics. Please contact me if you are interested.

  • Introduction to Statistical testing: A workshop for linguists, or others without a strong statistical background.
  • Hierarchical Linear Modelling (HLM) and Mixed Modelling: An introduction to this fascinating topic, with hands-on exercises in SPSS or SAS.
  • Scale construction and Factor analysis: A workshop which covers everything from the basics up to factor analyses of medium complexity
  • Structural Equation Modelling (SEM): What can you do with SEM, what is SEM for and how to use it. In this course, you will learn to build relatively simple models which can already capture complex datasets. Preferably taught in SAS.
  • Using R: The R language (www.R-project.org) is fast becoming a viable alternative to SPSS and SAS. The interface may not be very welcoming to newcomers, but the language is much more powerful. In this course I show you how to harness the power of R for your statistical work.
  • Using large scale datasets: (this workshop is in the planning stages) In this workshop, I show best practices for dealing with large data sets and I teach the elementary programming scales to handle large amounts of data efficiently. The workshop uses Python and R extensively.