Matthias Gondan
  • Øster Farimagsgade 2A

    1353 København K

19992020

Research activity per year

Personal profile

Short presentation

Research groups

I am a psychologist with additional experience in medical biostatistics. 

Fields of interest

Response time models, Applied psychology, Medical research in surgery, neurosurgery, family practice

Teaching

BA Lecture in statistics 1 + 2 (Monday 13-15)
PhD course on methods and ethics (Tuesday 9-16)
For a full list of my lectures, see Aktiviteter.

CV

Born

1.10.1972

Education

  • July 2012: Higher Doctorate (Habilitation), Experimental Psychology and Psychological Methods, University of Regensburg, Germany
  • April 2005: PhD (Dr. rer. nat.), Experimental and Biological Psychology, Philipps-University, Marburg, Germany
  • October 1998: Major (Diplom) in Psychology, Albert-Ludwigs-University, Freiburg, Germany

Current position

Since 2013 Associate Professor for Quantitative and Experimental Methods, Department of Psychology, University of Copenhagen, Denmark

Previous positions

  • Since 2013 Lektor for Quantitative and Experimental Methods, Department of Psychology, University of Copenhagen, Denmark
  • 2010-2013 Biostatistician at the Institute of Medical Biometry and Informatics, University of Heidelberg, Germany
  • 2004-2010 Research Associate at the Department of Psychology, University of Regensburg, Germany
  • 2000-2004 PhD student at the Department Psychology, Phillips University, Marburg, Germany
  • 1999-2000 Research Assistant at the University Hospital Aachen, Germany

Administrative experience

  • Since 2015: Member of the Institutional Review Board at the Department of Psychology, University of Copenhagen, Denmark
  • 2013: Member of the Institutional Review Board at the Medical Faculty, University of Heidelberg, Germany
  • 2010–2013: Organization of the Master's Programme Medical Biometry/Biostatistics, University of Heidelberg, Germany

Possible conflicts of interest

Secondary employment as a programmer for PSYTEST (Herzogenrath, Germany).

Current research

Response time (RT) is used in many areas of Psychology, such as Perception, Cognitive Psychology, Neuroscience, Medical Psychology and Attention Diagnostics. In RT experiments, theoretical predictions generally relate to unconditional RT performance: “How long did it take to find the correct solution to the problem?” Most studies, however, do some kind of data cleaning and, most importantly, exclude incorrect responses before data analysis. The result is a conditional measure, “How long did it take for the correct solution—if it was found?” Theory and empirical data, in turn, refer to different entities. In my research I investigate the implications of different models for RT and derive estimates of unconditional RT performance in the presence of incorrect responses. The results lay the foundation for the measurement of one of the most important dependent variables in many areas of Psychology and beyond.

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