Šimon Kucharskı
Šimon Kucharskı
TU Dortmund
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Cited by
Cited by
The JASP guidelines for conducting and reporting a Bayesian analysis
J Van Doorn, D Van Den Bergh, U Böhm, F Dablander, K Derks, T Draws, ...
Psychonomic Bulletin & Review 28, 813-826, 2021
A tutorial on conducting and interpreting a Bayesian ANOVA in JASP
D van den Bergh, J Van Doorn, M Marsman, T Draws, EJ Van Kesteren, ...
L’Année psychologique 120 (1), 73-96, 2020
A consensus-based transparency checklist
B Aczel, B Szaszi, A Sarafoglou, Z Kekecs, Š Kucharskı, D Benjamin, ...
Nature human behaviour 4 (1), 4-6, 2020
JASP (Version 0.10. 1)[Computer software].
J Team
(No Title), 2019
The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test
A Ly, A Stefan, J van Doorn, F Dablander, D van den Bergh, A Sarafoglou, ...
Computational Brain & Behavior, 1-9, 2019
Formal and informal learning and first-year psychology students’ development of scientific thinking: A two-wave panel study
D Soyyılmaz, LM Griffin, MH Martín, Š Kucharskı, ED Peycheva, ...
Frontiers in psychology 8, 133, 2017
Cognitive strategies revealed by clustering eye movement transitions
Š Kucharskı, I Visser, GO Truțescu, PG Laurence, M Zaharieva, ...
Journal of Eye Movement Research 13 (1), 1--20, 2020
The JASP data library
E Wagenmakers, Š Kucharskı
The JASP guidelines for conducting and reporting a Bayesian analysis [Preprint]. PsyArXiv
J van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws, ...
Hidden Markov models of evidence accumulation in speeded decision tasks
Š Kucharskı, NH Tran, K Veldkamp, M Raijmakers, I Visser
Computational Brain & Behavior 4, 416-441, 2021
Network models to organize a dispersed literature: the case of misunderstanding analysis of covariance
K Derks, J Burger, J van Doorn, JJ Kossakowski, D Matzke, L Atticciati, ...
Journal of European Psychology Students 9 (1), 48-57, 2018
The JASP Guidelines for Conducting and Reporting a Bayesian Analysis. psyarxiv preprint. 2019
J van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws, ...
Characterising eye movement events with an Unsupervised hidden Markov model
M Lüken, Š Kucharskı, I Visser
Journal of Eye Movement Research 15 (1), 2022
WALD-EM: Wald accumulation for locations and durations of eye movements.
Š Kucharskı, D van Renswoude, M Raijmakers, I Visser
Psychological Review 128 (4), 667, 2021
Code sharing in psychological methods and statistics: An overview and associations with conventional and alternative research metrics
Š Kucharskı, BL Houtkoop, I Visser
OSF, 2020
Bayesian sample size planning for developmental studies
I Visser, Š Kucharskı, C Levelt, AM Stefan, EJ Wagenmakers, L Oakes
Infant and Child Development 33 (1), e2412, 2024
Habituation, part II. Rethinking the habituation paradigm
Š Kucharskı, M Zaharieva, M Raijmakers, I Visser
Infant and Child Development, e2383, 2022
Limited Scope for Group Coordination in Stylistic Variations of Kolam Art
NH Tran, Š Kucharskı, TM Waring, S Atmaca, BA Beheim
Frontiers in Psychology 12, 742577, 2021
Accessible and Sustainable Statistics with JASP
EJ Wagenmakers, Š Kucharskı, J van Doorn, D van den Bergh
PsyArXiv, 2023
Prevalence, Patterns, and Predictors of Paranormal Beliefs in the Netherlands: A Several-Analysts Approach
S Hoogeveen, D Borsboom, Š Kucharskı, M Marsman, D Molenaar, ...
PsyArXiv. https://doi. org/10.31234/osf. io/ajush, 2024
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