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Šimon Kucharský
Šimon Kucharský
TU Dortmund
Verifierad e-postadress på uva.nl
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JASP (Version 0.10. 1)[Computer software].
J Team
(No Title), 2019
21602019
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
9922021
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
3232020
A consensus-based transparency checklist
B Aczel, B Szaszi, A Sarafoglou, Z Kekecs, Š Kucharský, D Benjamin, ...
Nature human behaviour 4 (1), 4-6, 2020
169*2020
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
392019
Cognitive strategies revealed by clustering eye movement transitions
Š Kucharský, I Visser, GO Truțescu, PG Laurence, M Zaharieva, ...
Journal of Eye Movement Research 13 (1), 1--20, 2020
282020
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 Kucharský, ED Peycheva, ...
Frontiers in psychology 8, 133, 2017
252017
The JASP data library
E Wagenmakers, Š Kucharský
162020
Hidden Markov models of evidence accumulation in speeded decision tasks
Š Kucharský, NH Tran, K Veldkamp, M Raijmakers, I Visser
Computational Brain & Behavior 4, 416-441, 2021
92021
Code sharing in psychological methods and statistics: An overview and associations with conventional and alternative research metrics
Š Kucharský, BL Houtkoop, I Visser
OSF, 2020
72020
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, ...
72019
Habituation, part II. Rethinking the habituation paradigm
Š Kucharský, M Zaharieva, M Raijmakers, I Visser
Infant and Child Development, e2383, 2022
62022
WALD-EM: Wald accumulation for locations and durations of eye movements.
Š Kucharský, D van Renswoude, M Raijmakers, I Visser
Psychological Review 128 (4), 667, 2021
62021
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, ...
6
Bayesian sample size planning for developmental studies
I Visser, Š Kucharský, C Levelt, AM Stefan, EJ Wagenmakers, L Oakes
Infant and Child Development 33 (1), e2412, 2024
52024
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), 2018
52018
Accessible and Sustainable Statistics with JASP
EJ Wagenmakers, Š Kucharský, J van Doorn, D van den Bergh
OSF, 2023
42023
Characterising eye movement events with an Unsupervised hidden Markov model
M Lüken, Š Kucharský, I Visser
Journal of Eye Movement Research 15 (1), 10.16910/jemr. 15.1. 4, 2022
42022
Limited Scope for Group Coordination in Stylistic Variations of Kolam Art
NH Tran, Š Kucharský, TM Waring, S Atmaca, BA Beheim
Frontiers in Psychology 12, 742577, 2021
32021
Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach
S Hoogeveen, D Borsboom, Š Kucharský, M Marsman, D Molenaar, ...
Royal Society Open Science 11 (9), 240049, 2024
12024
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