Joachim Vandekerckhove

Contact information

Joachim 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

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.
• Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16, 1026-1036. doi:10.3758/16.6.1026
• Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2009). A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data. Psychometrika, 74, 395-418. doi:10.1007/s11336-008-9106-8
• Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2011). A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods, 16, 468-490. doi:10.1037/a0024375
• Panis, S., De Winter, J., Vandekerckhove, J., & Wagemans, J. (2008). Identification of everyday objects on the basis of fragmented versions of outlines. Perception, 37, 271-289. doi:10.1068/p5516
• 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
• Vandekerckhove, J., Panis, S., & Wagemans, J. (2007). The concavity effect is a compound of local and global effects. Perception & Psychophysics, 69, 1253-1260.
• 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
• Vandekerckhove, J., & Tuerlinckx, F. (2008). Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods, 40, 61-72. doi:10.3758/BRM.40.1.61
• Vandekerckhove, J., & Tuerlinckx, F. (in press). MATLAB for behavioral scientists: A novice's guide to MATLAB. Experimental Psychology.
• Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2011). Hierarchical diffusion models for two-choice response times. Psychological Methods, 16, 44-62. doi:10.1037/a0021765
• Vandekerckhove, J., Verheyen, S., & Tuerlinckx, F. (2010). A crossed random effects diffusion model for speeded semantic categorization decisions. Acta Psychologica, 133, 269-282. doi:10.1016/j.actpsy.2009.10.009
• Wetzels, R., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2008). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task. Journal of Mathematical Psychology, 54, 14-27. doi:10.1016/j.jmp.2008.12.001

Chapters in books

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

Software