Publications and manuscripts

Baribault, B., Donkin, C., Little, D. R., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., White, C. N., de Boeck, P., & Vandekerckhove, J. (in press). Meta-studies for robust tests of theory. Proceedings of the National Academy of Sciences. PDFURL

Matzke, D., Boehm, U., & Vandekerckhove, J. (in press). Bayesian Inference in Psychology, Part~III: Bayesian parameter estimation in nonstandard models. Psychonomic Bulletin and Review.

Heshmati, S., Oravecz, Z., Pressman, S., Batchelder, W. H., Muth, C., & Vandekerckhove, J. (in press). What does it mean to feel loved? Cultural agreement and individual differences. Journal of Social and Personal Relationships.

Etz, A., & Vandekerckhove, J. (in press). Introduction to Bayesian inference for psychology. Psychonomic Bulletin and Review. PDFURL

Dutilh, G., Vandekerckhove, J., Ly, A., Matzke, D., Pedroni, A., Frey, R., Rieskamp, J., & Wagenmakers, E.-J. (2017). A test of the diffusion model explanation for the Worst Performance Rule using preregistration and blinding. Attention, Perception, and Performance, 79, 713-725. PDFURLArchival copy

Okada, K., Vandekerckhove, J., & Lee, M. D. (in press). Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions. Behavior Research Methods. PDFURL

Lúcio, P. S., Salum, G. A., Rohde, L. A. P., Gadelha, A., Swardfager, W., Vandekerckhove, J., Pan, P. M., Polanczyk, G., do Rosário, M. C., Jackowski, A. P., Mari, J. d. J., & and Cogo-Moreira, H. (2017). Poor stimulus discriminability as a common neuropsychological deficit between ADHD and reading ability in young children: a moderated mediation model. Psychological Medicine, 47, 255-266. PDF

van Ravenzwaaij, D., Donkin, C., & Vandekerckhove, J. (2017). The EZ diffusion model provides a powerful test of simple empirical effects. Psychonomic Bulletin and Review, 24, 547-556. PDFArchival copy

Vandekerckhove, J., & Wagenmakers, E.-J. (2016). C. S. Peirce on the Crisis of Confidence and the ``No More Bets'' Heuristic. The Winnower, 4843. PDFArchival copy

Oravecz, Z., Muth, C., & Vandekerckhove, J. (2016). Do people agree on what makes one feel loved? A cognitive psychometric approach to the consensus on felt love. PLoS ONE, 11, e0152803. PDFArchival copy

Nunez, M. D., Vandekerckhove, J., & Srinivasan, R. (2017). How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters. Journal of Mathematical Psychology, 76B, 117-130. PDFArchival copy

Etz, A., & Vandekerckhove, J. (2016). A Bayesian perspective on the Reproducibility Project: Psychology. PLoS ONE, 11, e0149794. PDFArchival copy
(This paper was included in PLoS Biology's collection on meta-science.)

Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2016). Bayesian data analysis with the bivariate hierarchical Ornstein-Uhlenbeck process model. Multivariate Behavioral Research, 51, 106-119. PDF

Guan, M., & Vandekerckhove, J. (2016). A Bayesian approach to mitigation of publication bias. Psychonomic Bulletin and Review, 23, 74-86. PDFArchival copy

Van Elk, M., Matzke, D., Gronau, Q., Guan, M., Vandekerckhove, J., & Wagenmakers, E. J. (2015). Meta-analyses are no substitute for registered replications: a skeptical perspective on religious priming. Frontiers in Psychology, 6. PDFArchival copy

Kupitz, C., Buschkuehl, M., Jaeggi, S., Jonides, J., Shah, P., & Vandekerckhove, J. (2015). A diffusion model account of the transfer-of-training effect. In R. Dale and C. Jennings and P. Maglio and T. Matlock and D. Noelle and A. Warlaumont and J. Yoshimi (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. PDF

Guan, M., Lee, M. D., & Vandekerckhove, J. (2015). A hierarchical cognitive threshold model of human decision making on different length optimal stopping problems. In R. Dale and C. Jennings and P. Maglio and T. Matlock and D. Noelle and A. Warlaumont and J. Yoshimi (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. PDF

Mistry, P. K, Trueblood, J. S., Vandekerckhove, J., & Pothos, E. M. (2015). A latent-mixture quantum probability model of causal reasoning within a Bayesian inference framework. In R. Dale and C. Jennings and P. Maglio and T. Matlock and D. Noelle and A. Warlaumont and J. Yoshimi (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. PDF

Oravecz, Z., Huentelman, M., & Vandekerckhove, J. (2016). Sequential Bayesian updating for Big Data. In M. Jones (Eds.), Big Data in Cognitive Science: From Methods to Insights (pp. 13-33). Sussex, UK: Psychology Press (Taylor & Francis). PDF

Nunez, M. D., Srinivasan, R., & Vandekerckhove, J. (2015). Individual differences in attention influence perceptual decision making. Frontiers in Psychology, 6, 18. PDFArchival copy

Zhang, S., Lee, M. D., Vandekerckhove, J., Maris, G., & Wagenmakers, E.-J. (2014). Time-varying boundaries for diffusion models of decision making and response time. Frontiers in Psychology, 5, 1364. PDFArchival copy

Lee, M. D., Newell, B., & Vandekerckhove, J. (2014). Modeling the adaptation of search termination in human decision making. Decision, 1, 223-251. PDFArchival copy

Murphy, P. R., Vandekerckhove, J., & Nieuwenhuis, S. (2014). Pupil-linked arousal determines variability in perceptual decision making. PLOS Computational Biology, 10, e1003854. PDFArchival copy

Vandekerckhove, J. (2014). A cognitive latent variable model for the simultaneous analysis of behavioral and personality data. Journal of Mathematical Psychology, 60, 58-71. PDFURLArchival copy

Wiech, K., Vandekerckhove, J., Zaman, J., Tuerlinckx, F., Vlaeyen, J. W. S., & Tracey, I. (2014). Influence of prior information on pain involves biased perceptual decision-making. Current Biology, 24, R679-R681. PDFURLArchival copy

Wabersich, D., & Vandekerckhove, J. (2014). The RWiener package: an R package providing distribution functions for the Wiener diffusion model. The R Journal, 6, 49-56. PDFURL

Oravecz, Z., Vandekerckhove, J., & Batchelder, W. H. (2014). Bayesian Cultural Consensus Theory. Field Methods, 26, 207-222. PDFURLArchival copy

Salum, G. A., Sergeant, J., Sonuga-Barke, E., Vandekerckhove, J., Gadelha, A., Pan, P. M., Moriyama, T. S., Graeff-Martins, A. S., Gomes de Alvarenga, P., do Rosário, M. C., Manfro, G. G., Polanczyk, G., & Rohde, L. A. P. (2014). Mechanisms underpinning inattention and hyperactivity: neurocognitive support for ADHD dimensionality. Psychological Medicine, 44, 3189-3201. PDF

Vandekerckhove, J., Matzke, D., & Wagenmakers, E.-J. (2015). Model comparison and the principle of parsimony. In J. R. Busemeyer, J. T. Townsend, Z. J. Wang, and A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology (pp. 300-317). Oxford, UK: Oxford University Press. PDFArchival copy

Wabersich, D., & Vandekerckhove, J. (2014). Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example). Behavior Research Methods, 46, 15-28. PDFURLArchival copy

Salum, G. A., Sergeant, J., Sonuga-Barke, E., Vandekerckhove, J., Gadelha, A., Pan, P. M., Moriyama, T. S., Graeff-Martins, A. S., Gomes de Alvarenga, P., do Rosário, M. C., Manfro, G. G., Polanczyk, G., & Rohde, L. A. P. (2014). Specificity of basic information processing and inhibitory control in attention deficit/hyperactivity disorder. Psychological Medicine, 44, 617-631. PDFArchival copy

Vandekerckhove, J., Guan, M., & Styrcula, S. (2013). The consistency test may be too weak to be useful: Its systematic application would not improve effect size estimation in meta-analyses. Journal of Mathematical Psychology, 57, 170-173. PDFURLArchival copy

Pe, M., Vandekerckhove, J., & Kuppens, P. (2013). A diffusion model account of the relationship between the emotional flanker task and depression and rumination. Emotion, 13, 739-747. PDFURLArchival copy

Dutilh, G., Forstmann, B. U., Vandekerckhove, J., & Wagenmakers, E.--J. (2013). A Diffusion Model Account of Age Differences in Posterror Slowing. Psychology and Aging, 28, 64-76. PDFURLArchival copy

Dutilh, G., Vandekerckhove, J., Forstmann, B. U., Keuleers, E., Brysbaert, M., & Wagenmakers, E.-J. (2012). Testing theories of post-error slowing. Attention, Perception, and Psychophysics, 7, 454-465. PDFURLArchival copy

Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2011). A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods, 16, 468-490. PDFArchival copy

Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2011). Hierarchical diffusion models for two-choice response times. Psychological Methods, 16, 44-62. PDFURLArchival copy

Vandekerckhove, J., Verheyen, S., & Tuerlinckx, F. (2010). A crossed random effects diffusion model for speeded semantic categorization data. Acta Psychologica, 133, 269-282. PDFURLArchival copy

Wetzels, R., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2010). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task. Journal of Mathematical Psychology, 54, 14-27. PDFArchival copy

Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin and Review, 16, 1026-1036. PDFURLArchival copy

Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2009). A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data. Psychometrika, 74, 395-418. PDFArchival copy

Vandekerckhove, J. (2009). Extensions and applications of the diffusion model for two-choice response times.   PDF
(Unpublished doctoral dissertation)

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. PDFArchival copy

Vandekerckhove, J., & Tuerlinckx, F. (2008). Diffusion Model Analysis with MATLAB: A DMAT Primer. Behavior Research Methods, 40, 61-72. PDFURLArchival copy

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

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, 599-610. PDFArchival copy

Vandekerckhove, J., Panis, S., & Wagemans, J. (2007). The concavity effect is a compound of local and global effects. Perception and Psychophysics, 69, 1253-1260. PDFURLArchival copy

Vandekerckhove, J., & Tuerlinckx, F. (2007). Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin and Review, 14, 1011-1026. PDFArchival copy

Bayesian Bias Correction

Limited MATLAB code to perform the Bayesian Bias Correction is available on GitHub. The method is due to Guan and Vandekerckhove (2016) and was instrumental in Etz and Vandekerckhove (2016). The code is limited in that it (a) only computes Bayes factors and not effect sizes; (b) only applies to single studies; and (c) only apples to univariate results. More mature software to compute effect sizes and integrate over multiple studies with potentially multivariate tests is still under development.

JAGS diffusion model module

JAGS-Wiener is a JAGS module for the diffusion model. The code is freely available from SourceForge. A tutorial paper on writing JAGS modules is available here.
If you're having trouble getting this module to work with JAGS 4.x on linux, that's not your fault. Click here.

RWiener package available on CRAN

The RWiener package provides R functions for the Wiener diffusion model. It implements four new distribution functions dwiener, pwiener, qwiener and rwiener. The package is freely available from CRAN, and is maintained on SourceForge. A paper documenting the package is available here.

WinBUGS diffusion model plugin

The WinBUGS diffusion model plugin is a set of Component Pascal functions that implement the first hitting time distribution of a drift diffusion process as a stochastic node in WinBUGS. Click here for more, or here to proceed directly to the download arena.

Bayesian Cultural Consensus Toolbox

BCCT is a user-friendly program for estimating psychometric models in the absence of a known answer key. Developed in MATLAB, BCCT is available as a stand-alone program, and requires no programming skill to use. The toolbox is developed and distributed by Zita Oravecz.

Bayesian Hierarchical Ornstein-Uhlenbeck Modeling toolbox

BHOUM is a MATLAB toolbox for the joint analysis of two linked longitudinalvariables, across multiple participants. The toolbox is freely available,either as a standalone program as a MATLAB package. BHOUM is developed anddistributed by Zita Oravecz.

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