| Year |
Citation |
Score |
| 2023 |
Chwiesko C, Janecek J, Doering S, Hollearn M, McMillan L, Vandekerckhove J, Lee MD, Ratcliff R, Yassa MA. Parsing memory and nonmemory contributions to age-related declines in mnemonic discrimination performance: a hierarchical Bayesian diffusion decision modeling approach. Learning & Memory (Cold Spring Harbor, N.Y.). 30: 296-309. PMID 37923355 DOI: 10.1101/lm.053838.123 |
0.526 |
|
| 2023 |
Oravecz Z, Vandekerckhove J. Quantifying Evidence for-and against-Granger Causality with Bayes Factors. Multivariate Behavioral Research. 1-11. PMID 37293977 DOI: 10.1080/00273171.2023.2214890 |
0.692 |
|
| 2021 |
Wiech K, Eippert F, Vandekerckhove J, Zaman J, Placek K, Tuerlinckx F, Vlaeyen J, Tracey I. Cortico-brainstem mechanisms of biased perceptual decision-making in the context of pain. The Journal of Pain. PMID 34856408 DOI: 10.1016/j.jpain.2021.11.006 |
0.559 |
|
| 2020 |
Lui KK, Nunez MD, Cassidy JM, Vandekerckhove J, Cramer SC, Srinivasan R. Timing of readiness potentials reflect a decision-making process in the human brain. Computational Brain & Behavior. 4: 264-283. PMID 35252759 DOI: 10.1007/s42113-020-00097-5 |
0.767 |
|
| 2020 |
Aczel B, Hoekstra R, Gelman A, Wagenmakers EJ, Klugkist IG, Rouder JN, Vandekerckhove J, Lee MD, Morey RD, Vanpaemel W, Dienes Z, van Ravenzwaaij D. Discussion points for Bayesian inference. Nature Human Behaviour. PMID 31988442 DOI: 10.1038/S41562-019-0807-Z |
0.531 |
|
| 2020 |
Lúcio PS, Vandekerckhove J, Polanczyk GV, Cogo-Moreira H. Is It Worthy to Take Account of the “Guessing” in the Performance of the Raven Test? Calling for the Principle of Parsimony for Test Validation: Journal of Psychoeducational Assessment. 73428292093092. DOI: 10.1177/0734282920930923 |
0.331 |
|
| 2020 |
Oravecz Z, Dirsmith J, Heshmati S, Vandekerckhove J, Brick TR. Psychological well-being and personality traits are associated with experiencing love in everyday life Personality and Individual Differences. 153: 109620. DOI: 10.1016/J.Paid.2019.109620 |
0.68 |
|
| 2020 |
Oravecz Z, Vandekerckhove J. A joint process model of consensus and longitudinal dynamics Journal of Mathematical Psychology. 98: 102386. DOI: 10.1016/J.Jmp.2020.102386 |
0.713 |
|
| 2020 |
van den Bergh D, Bogaerts S, Spreen M, Flohr R, Vandekerckhove J, Batchelder WH, Wagenmakers E. Cultural Consensus Theory for the evaluation of patients’ mental health scores in forensic psychiatric hospitals Journal of Mathematical Psychology. 98: 102383. DOI: 10.1016/J.Jmp.2020.102383 |
0.524 |
|
| 2019 |
Nunez MD, Gosai A, Vandekerckhove J, Srinivasan R. The latency of a visual evoked potential tracks the onset of decision making. Neuroimage. PMID 31028925 DOI: 10.1016/J.Neuroimage.2019.04.052 |
0.768 |
|
| 2018 |
Baribault B, Donkin C, Little DR, Trueblood JS, Oravecz Z, van Ravenzwaaij D, White CN, De Boeck P, Vandekerckhove J. Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences of the United States of America. 115: 2607-2612. PMID 29531092 DOI: 10.1073/Pnas.1708285114 |
0.751 |
|
| 2018 |
Dutilh G, Annis J, Brown SD, Cassey P, Evans NJ, Grasman RPPP, Hawkins GE, Heathcote A, Holmes WR, Krypotos AM, Kupitz CN, Leite FP, Lerche V, Lin YS, Logan GD, ... ... Vandekerckhove J, et al. The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review. PMID 29450793 DOI: 10.3758/S13423-017-1417-2 |
0.778 |
|
| 2018 |
Rouder JN, Haaf JM, Vandekerckhove J. Bayesian inference for psychology, part IV: parameter estimation and Bayes factors. Psychonomic Bulletin & Review. PMID 29441460 DOI: 10.3758/S13423-017-1420-7 |
0.406 |
|
| 2018 |
Matzke D, Boehm U, Vandekerckhove J. Bayesian inference for psychology, part III: Parameter estimation in nonstandard models. Psychonomic Bulletin & Review. 25: 77-101. PMID 29134543 DOI: 10.3758/S13423-017-1394-5 |
0.396 |
|
| 2018 |
Etz A, Vandekerckhove J. Introduction to Bayesian Inference for Psychology. Psychonomic Bulletin & Review. 25: 5-34. PMID 28378250 DOI: 10.3758/S13423-017-1262-3 |
0.746 |
|
| 2018 |
Mistry PK, Pothos EM, Vandekerckhove J, Trueblood JS. A quantum probability account of individual differences in causal reasoning Journal of Mathematical Psychology. 87: 76-97. DOI: 10.1016/J.Jmp.2018.09.003 |
0.432 |
|
| 2017 |
Nunez MD, Vandekerckhove J, Srinivasan R. How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters. Journal of Mathematical Psychology. 76: 117-130. PMID 28435173 DOI: 10.1016/J.Jmp.2016.03.003 |
0.777 |
|
| 2017 |
Okada K, Vandekerckhove J, Lee MD. Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions. Behavior Research Methods. PMID 28364285 DOI: 10.3758/S13428-017-0879-5 |
0.375 |
|
| 2017 |
Dutilh G, Vandekerckhove J, Ly A, Matzke D, Pedroni A, Frey R, Rieskamp J, Wagenmakers EJ. A test of the diffusion model explanation for the worst performance rule using preregistration and blinding. Attention, Perception & Psychophysics. PMID 28233280 DOI: 10.3758/S13414-017-1304-Y |
0.616 |
|
| 2017 |
van Ravenzwaaij D, Donkin C, Vandekerckhove J. The EZ diffusion model provides a powerful test of simple empirical effects. Psychonomic Bulletin & Review. 24: 547-556. PMID 27352898 DOI: 10.3758/S13423-016-1081-Y |
0.402 |
|
| 2017 |
Heshmati S, Oravecz Z, Pressman S, Batchelder WH, Muth C, Vandekerckhove J. What does it mean to feel loved: Cultural consensus and individual differences in felt love Journal of Social and Personal Relationships. 36: 214-243. DOI: 10.1177/0265407517724600 |
0.668 |
|
| 2016 |
Oravecz Z, Muth C, Vandekerckhove J. Do People Agree on What Makes One Feel Loved? A Cognitive Psychometric Approach to the Consensus on Felt Love. Plos One. 11: e0152803. PMID 27035569 DOI: 10.1371/Journal.Pone.0152803 |
0.71 |
|
| 2016 |
Etz A, Vandekerckhove J. A Bayesian Perspective on the Reproducibility Project: Psychology. Plos One. 11: e0149794. PMID 26919473 DOI: 10.1371/Journal.Pone.0149794 |
0.733 |
|
| 2016 |
Oravecz Z, Tuerlinckx F, Vandekerckhove J. Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model. Multivariate Behavioral Research. 51: 106-19. PMID 26881960 DOI: 10.1080/00273171.2015.1110512 |
0.782 |
|
| 2016 |
Guan M, Vandekerckhove J. A Bayesian approach to mitigation of publication bias. Psychonomic Bulletin & Review. 23: 74-86. PMID 26126776 DOI: 10.3758/S13423-015-0868-6 |
0.774 |
|
| 2016 |
Vandekerckhove J, Wagenmakers E. C. S. Peirce on the Crisis of Confidence and the "No More Bets" Heuristic The Winnower. 3. DOI: 10.15200/Winn.146611.14253 |
0.456 |
|
| 2015 |
van Elk M, Matzke D, Gronau QF, Guan M, Vandekerckhove J, Wagenmakers EJ. Meta-analyses are no substitute for registered replications: a skeptical perspective on religious priming. Frontiers in Psychology. 6: 1365. PMID 26441741 DOI: 10.3389/Fpsyg.2015.01365 |
0.76 |
|
| 2015 |
Nunez MD, Srinivasan R, Vandekerckhove J. Individual differences in attention influence perceptual decision making. Frontiers in Psychology. 8: 18. PMID 25762974 DOI: 10.3389/Fpsyg.2015.00018 |
0.787 |
|
| 2014 |
Zhang S, Lee MD, Vandekerckhove J, Maris G, Wagenmakers EJ. Time-varying boundaries for diffusion models of decision making and response time. Frontiers in Psychology. 5: 1364. PMID 25538642 DOI: 10.3389/Fpsyg.2014.01364 |
0.621 |
|
| 2014 |
Murphy PR, Vandekerckhove J, Nieuwenhuis S. Pupil-linked arousal determines variability in perceptual decision making. Plos Computational Biology. 10: e1003854. PMID 25232732 DOI: 10.1371/Journal.Pcbi.1003854 |
0.689 |
|
| 2014 |
Wiech K, Vandekerckhove J, Zaman J, Tuerlinckx F, Vlaeyen JW, Tracey I. Influence of prior information on pain involves biased perceptual decision-making. Current Biology : Cb. 24: R679-81. PMID 25093555 DOI: 10.1016/J.Cub.2014.06.022 |
0.637 |
|
| 2014 |
Wabersich D, Vandekerckhove J. The RWiener Package: an R Package Providing Distribution Functions for the Wiener Diffusion Model R Journal. 6: 49-56. DOI: 10.32614/Rj-2014-005 |
0.367 |
|
| 2014 |
Oravecz Z, Vandekerckhove J, Batchelder WH. Bayesian Cultural Consensus Theory Field Methods. 26: 207-222. DOI: 10.1177/1525822X13520280 |
0.715 |
|
| 2014 |
Vandekerckhove J. A cognitive latent variable model for the simultaneous analysis of behavioral and personality data. Journal of Mathematical Psychology. 60: 58-71. DOI: 10.1016/J.Jmp.2014.06.004 |
0.388 |
|
| 2013 |
Pe ML, Vandekerckhove J, Kuppens P. A diffusion model account of the relationship between the emotional flanker task and rumination and depression. Emotion (Washington, D.C.). 13: 739-47. PMID 23527499 DOI: 10.1037/A0031628 |
0.344 |
|
| 2013 |
Dutilh G, Forstmann BU, Vandekerckhove J, Wagenmakers EJ. A diffusion model account of age differences in posterror slowing. Psychology and Aging. 28: 64-76. PMID 22946524 DOI: 10.1037/A0029875 |
0.595 |
|
| 2013 |
Vandekerckhove J, Guan M, Styrcula SA. 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. DOI: 10.1016/J.Jmp.2013.03.007 |
0.751 |
|
| 2012 |
Dutilh G, Vandekerckhove J, Forstmann BU, Keuleers E, Brysbaert M, Wagenmakers EJ. Testing theories of post-error slowing. Attention, Perception & Psychophysics. 74: 454-65. PMID 22105857 DOI: 10.3758/S13414-011-0243-2 |
0.569 |
|
| 2011 |
Oravecz Z, Tuerlinckx F, Vandekerckhove J. A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods. 16: 468-90. PMID 21823796 DOI: 10.1037/A0024375 |
0.785 |
|
| 2011 |
Vandekerckhove J, Tuerlinckx F, Lee MD. Hierarchical diffusion models for two-choice response times. Psychological Methods. 16: 44-62. PMID 21299302 DOI: 10.1037/A0021765 |
0.649 |
|
| 2010 |
Vandekerckhove J, Verheyen S, Tuerlinckx F. A crossed random effects diffusion model for speeded semantic categorization decisions. Acta Psychologica. 133: 269-82. PMID 19962683 DOI: 10.1016/J.Actpsy.2009.10.009 |
0.677 |
|
| 2010 |
Wetzels R, Vandekerckhove J, Tuerlinckx F, Wagenmakers EJ. 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 |
0.744 |
|
| 2009 |
Dutilh G, Vandekerckhove J, Tuerlinckx F, Wagenmakers EJ. A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review. 16: 1026-36. PMID 19966251 DOI: 10.3758/16.6.1026 |
0.734 |
|
| 2009 |
Oravecz Z, Tuerlinckx F, Vandekerckhove J. A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data Psychometrika. 74: 395-418. DOI: 10.1007/S11336-008-9106-8 |
0.779 |
|
| 2008 |
Vandekerckhove J, Tuerlinckx F. Diffusion model analysis with MATLAB: a DMAT primer. Behavior Research Methods. 40: 61-72. PMID 18411528 DOI: 10.3758/Brm.40.1.61 |
0.611 |
|
| 2007 |
Vandekerckhove J, Tuerlinckx F. Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review. 14: 1011-26. PMID 18229471 DOI: 10.3758/Bf03193087 |
0.637 |
|
| 2007 |
Spruyt A, Hermans D, De Houwer J, Vandekerckhove J, Eelen P. 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. DOI: 10.1016/J.Jesp.2006.06.009 |
0.356 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2007 |
Vandekerckhove J, Panis S, Wagemans J. The concavity effect is a compound of local and global effects. Perception & Psychophysics. 69: 1253-60. PMID 18038961 DOI: 10.3758/Bf03193960 |
0.3 |
|
| 2014 |
Wabersich D, Vandekerckhove J. Extending JAGS: a tutorial on adding custom distributions to JAGS (with a diffusion model example). Behavior Research Methods. 46: 15-28. PMID 23959766 DOI: 10.3758/S13428-013-0369-3 |
0.296 |
|
| 2008 |
Panis S, De Winter J, Vandekerckhove J, Wagemans J. Identification of everyday objects on the basis of fragmented outline versions. Perception. 37: 271-89. PMID 18456927 DOI: 10.1068/P5516 |
0.278 |
|
| 2014 |
Salum GA, Sonuga-Barke E, Sergeant J, Vandekerckhove J, Gadelha A, Moriyama TS, Graeff-Martins AS, Manfro GG, Polanczyk G, Rohde LAP. Mechanisms underpinning inattention and hyperactivity: Neurocognitive support for ADHD dimensionality Psychological Medicine. 44: 3189-3201. PMID 25065454 DOI: 10.1017/S0033291714000919 |
0.274 |
|
| 2014 |
Salum GA, Sergeant J, Sonuga-Barke E, Vandekerckhove J, Gadelha A, Pan PM, Moriyama TS, Graeff-Martins AS, De Alvarenga PG, Do Rosário MC, Manfro GG, Polanczyk G, Rohde LAP. Specificity of basic information processing and inhibitory control in attention deficit hyperactivity disorder Psychological Medicine. 44: 617-631. PMID 23561016 DOI: 10.1017/S0033291713000639 |
0.264 |
|
| 2016 |
Lúcio PS, Salum GA, Rohde LA, Swardfager W, Gadelha A, Vandekerckhove J, Pan PM, Polanczyk GV, do Rosário MC, Jackowski AP, Mari JJ, Cogo-Moreira H. Poor stimulus discriminability as a common neuropsychological deficit between ADHD and reading ability in young children: a moderated mediation model. Psychological Medicine. 1-12. PMID 27697085 DOI: 10.1017/S0033291716002531 |
0.251 |
|
| 2018 |
Vandekerckhove J, Rouder JN, Kruschke JK. Editorial: Bayesian methods for advancing psychological science. Psychonomic Bulletin & Review. PMID 29450790 DOI: 10.3758/S13423-018-1443-8 |
0.246 |
|
| 2021 |
Devezer B, Navarro DJ, Vandekerckhove J, Ozge Buzbas E. The case for formal methodology in scientific reform. Royal Society Open Science. 8: 200805. PMID 34035933 DOI: 10.1098/rsos.200805 |
0.205 |
|
| 2021 |
Shiffrin RM, Matzke D, Crystal JD, Wagenmakers EJ, Chandramouli SH, Vandekerckhove J, Zorzi M, Morey RD, Murphy MC. Extraordinary claims, extraordinary evidence? A discussion. Learning & Behavior. PMID 34378175 DOI: 10.3758/s13420-021-00474-5 |
0.144 |
|
| 2021 |
Morey RD, Kaschak MP, Díez-Álamo AM, Glenberg AM, Zwaan RA, Lakens D, Ibáñez A, García A, Gianelli C, Jones JL, Madden J, Alifano F, Bergen B, Bloxsom NG, Bub DN, ... ... Vandekerckhove J, et al. A pre-registered, multi-lab non-replication of the action-sentence compatibility effect (ACE). Psychonomic Bulletin & Review. PMID 34755319 DOI: 10.3758/s13423-021-01927-8 |
0.128 |
|
| Hide low-probability matches. |