Joachim Vandekerckhove

Contact information

Foto Joachim VandekerckhoveJoachim Vandekerckhove
Tiensestraat 102
3000 Leuven


Phone: (+32) 16 325964
Fax: (+32) 16 325993
 

Research interests

  • Model fitting
  • Diffusion models
  • Analysis of bivariate (reaction time and accuracy) data
  • Model implementation with MATLAB

Publications

Group by: Type / Year & Type

In press

International journal articles

  • Dutilh, G., Vandekerckhove, J., Forstmann, B. U., Keuleers, E., Brysbaert, M., & Wagenmakers, E.-J. (in press). Testing theories of post-error slowing. Attention, Perception, and Psychophysics.
  • Vandekerckhove, J., & Tuerlinckx, F. (in press). MATLAB for behavioral scientists: A novice's guide to MATLAB. Experimental Psychology. PDF

2011

International journal articles

2010

International journal articles

2009

International journal articles

2008

International journal articles

Chapters in books

  • Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2008). A Bayesian approach to diffusion process models of decision-making. In B. Love, K. McRae, & V. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 1429-1434). Austin, TX: Cognitive Science Society.

2007

International journal articles

  • Spruyt, A., Hermans, D., De Houwer, J., Vandekerckhove, J., & Eelen, P. (2007). On the predictive validity of indirect attitude measures: Prediction of consumer choice behavior on the basis of affective priming in the picture-picture naming task. Journal of Experimental Social Psychology, 43, (4), 599-610. doi:10.1016/j.jesp.2006.06.009 PDF
  • Vandekerckhove, J., Panis, S., & Wagemans, J. (2007). The concavity effect is a compound of local and global effects. Perception & Psychophysics, 69, 1253-1260. PDF
  • Vandekerckhove, J., & Tuerlinckx, F. (2007). Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review, 14, 1011-1026. doi:10.3758/PBR.15.6.1229 PDF

Software

NameShort description
DMAToolboxDiffusion Model Analysis Toolbox for Matlab.