Joachim Vandekerckhove
Title
Cited by
Cited by
Year
Model Comparison and the Principle of Parsimony
J Vandekerckhove, D Matzke, EJ Wagenmakers
The Oxford Handbook of Computational and Mathematical Psychology, 300-318, 2015
2852015
Hierarchical diffusion models for two-choice response times.
J Vandekerckhove, F Tuerlinckx, MD Lee
Psychological methods 16 (1), 44, 2011
2792011
Testing theories of post-error slowing
G Dutilh, J Vandekerckhove, BU Forstmann, E Keuleers, M Brysbaert, ...
Attention, Perception, & Psychophysics 74 (2), 454-465, 2012
2532012
Diffusion model analysis with MATLAB: A DMAT primer
J Vandekerckhove, F Tuerlinckx
Behavior research methods 40 (1), 61-72, 2008
2472008
Fitting the Ratcliff diffusion model to experimental data
J Vandekerckhove, F Tuerlinckx
Psychonomic bulletin & review 14 (6), 1011-1026, 2007
2472007
A Bayesian perspective on the reproducibility project: Psychology
A Etz, J Vandekerckhove
PloS one 11 (2), e0149794, 2016
2412016
Introduction to Bayesian inference for psychology
A Etz, J Vandekerckhove
Psychonomic Bulletin & Review 25 (1), 5-34, 2018
1442018
Meta-analyses are no substitute for registered replications: A skeptical perspective on religious priming
M Van Elk, D Matzke, Q Gronau, M Guan, J Vandekerckhove, ...
Frontiers in psychology 6, 1365, 2015
1302015
A diffusion model decomposition of the practice effect
G Dutilh, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers
Psychonomic Bulletin & Review 16 (6), 1026-1036, 2009
1302009
Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task
R Wetzels, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers
Journal of Mathematical Psychology 54 (1), 14-27, 2010
1252010
Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example)
D Wabersich, J Vandekerckhove
Behavior research methods 46 (1), 15-28, 2014
1182014
A hierarchical latent stochastic differential equation model for affective dynamics.
Z Oravecz, F Tuerlinckx, J Vandekerckhove
Psychological methods 16 (4), 468, 2011
1062011
Pupil-linked arousal determines variability in perceptual decision making
PR Murphy, J Vandekerckhove, S Nieuwenhuis
PLoS computational biology 10 (9), e1003854, 2014
1042014
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
A Spruyt, D Hermans, J De Houwer, J Vandekerckhove, P Eelen
Journal of Experimental Social Psychology 43 (4), 599-610, 2007
1002007
Metastudies for robust tests of theory
B Baribault, C Donkin, DR Little, JS Trueblood, Z Oravecz, ...
Proceedings of the National Academy of Sciences 115 (11), 2607-2612, 2018
972018
A diffusion model account of the relationship between the emotional flanker task and rumination and depression.
ML Pe, J Vandekerckhove, P Kuppens
Emotion 13 (4), 739, 2013
872013
A hierarchical Ornstein–Uhlenbeck model for continuous repeated measurement data
Z Oravecz, F Tuerlinckx, J Vandekerckhove
Psychometrika 74 (3), 395-418, 2009
832009
The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models
G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ...
Psychonomic bulletin & review 26 (4), 1051-1069, 2019
822019
The EZ diffusion model provides a powerful test of simple empirical effects
D van Ravenzwaaij, C Donkin, J Vandekerckhove
Psychonomic bulletin & review 24 (2), 547-556, 2017
822017
Influence of prior information on pain involves biased perceptual decision-making
K Wiech, J Vandekerckhove, J Zaman, F Tuerlinckx, JWS Vlaeyen, ...
Current Biology 24 (15), R679-R681, 2014
812014
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