Joachim Vandekerckhove

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francis tuerlinckxUniversity of LeuvenVerified email at ppw.kuleuven.be
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
Michael LeeProfessor of Cognitive Sciences, University of California IrvineVerified email at uci.edu
Zita OraveczThe Pennsylvania State UniversityVerified email at psu.edu
Dora MatzkeAssociate Professor, University of AmsterdamVerified email at uva.nl
Alexander EtzUniversity of California, IrvineVerified email at uci.edu
Gilles DutilhStatistical Consultant Universitätsspital BaselVerified email at usb.ch
Jeffrey N. RouderUniversity of California, IrvineVerified email at uci.edu
Jennifer TruebloodVanderbilt UniversityVerified email at vanderbilt.edu
Michael D. NunezAssistant Professor of Psychological Methods, University of AmsterdamVerified email at uva.nl
Chris DonkinUNSWVerified email at unsw.edu.au
Ramesh SrinivasanUniversity of California, IrvineVerified email at uci.edu
Don van RavenzwaaijProfessor @University of GroningenVerified email at rug.nl
Corey WhiteDepartment of Psychology, Missouri Western State UniversityVerified email at missouriwestern.edu
Berna DevezerAssociate Professor of Marketing, University of IdahoVerified email at uidaho.edu
Polanczyk, GVProfessor Associado do Departamento de Psiquiatria da FMUSPVerified email at usp.br
Giovanni Abrahão SalumAssociate Professor (Universidade Federal do Rio Grande do Sul)Verified email at hcpa.edu.br
Luis Augusto RohdeHospital de Clínicas de Porto Alegre - HCPA; Professor de Psiquiatria da Universidade Federal do RioVerified email at hcpa.edu.br
Dominik WabersichResearcher in Cognitive Science and Mathematical PsychologyVerified email at med.uni-tuebingen.de
Beth BaribaultPostdoctoral researcher, University of California, BerkeleyVerified email at berkeley.edu

Joachim Vandekerckhove

University of California, Irvine

Verified email at uci.edu - Homepage

Response time modeling Data fusion Bayesian methods Robust science Cognitive psychometrics


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Model Comparison and the Principle of Parsimony J Vandekerckhove, D Matzke, EJ Wagenmakers The Oxford Handbook of Computational and Mathematical Psychology, 300-318, 2015	291	2015
Hierarchical diffusion models for two-choice response times. J Vandekerckhove, F Tuerlinckx, MD Lee Psychological methods 16 (1), 44, 2011	285	2011
Testing theories of post-error slowing G Dutilh, J Vandekerckhove, BU Forstmann, E Keuleers, M Brysbaert, ... Attention, Perception, & Psychophysics 74 (2), 454-465, 2012	259	2012
Fitting the Ratcliff diffusion model to experimental data J Vandekerckhove, F Tuerlinckx Psychonomic bulletin & review 14 (6), 1011-1026, 2007	249	2007
Diffusion model analysis with MATLAB: A DMAT primer J Vandekerckhove, F Tuerlinckx Behavior research methods 40 (1), 61-72, 2008	248	2008
A Bayesian perspective on the reproducibility project: Psychology A Etz, J Vandekerckhove PloS one 11 (2), e0149794, 2016	246	2016
Introduction to Bayesian inference for psychology A Etz, J Vandekerckhove Psychonomic Bulletin & Review 25 (1), 5-34, 2018	145	2018
A diffusion model decomposition of the practice effect G Dutilh, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers Psychonomic Bulletin & Review 16 (6), 1026-1036, 2009	131	2009
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	130	2015
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	125	2010
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	121	2014
A hierarchical latent stochastic differential equation model for affective dynamics. Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychological methods 16 (4), 468, 2011	106	2011
Pupil-linked arousal determines variability in perceptual decision making PR Murphy, J Vandekerckhove, S Nieuwenhuis PLoS computational biology 10 (9), e1003854, 2014	104	2014
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	100	2007
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	96	2018
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	89	2013
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	84	2019
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	83	2017
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	83	2014
A hierarchical Ornstein–Uhlenbeck model for continuous repeated measurement data Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychometrika 74 (3), 395-418, 2009	83	2009

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