JASP (Version 0.10. 1)[Computer software]. J Team (No Title), 2019 | 1621 | 2019 |
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 | 677 | 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 | 231 | 2020 |
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 | 129* | 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 | 30 | 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 Kucharský, ED Peycheva, ... Frontiers in psychology 8, 133, 2017 | 23 | 2017 |
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 | 16 | 2020 |
The JASP data library E Wagenmakers, Š Kucharský | 10 | 2020 |
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, ... | 7 | |
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, ... | 6 | 2019 |
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 | 6 | 2018 |
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 | 5 | 2021 |
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 | 4 | 2021 |
Code Sharing in Psychological Methods and Statistics: An Overview and Associations with Conventional and Alternative Research Metrics Š Kucharský, BL Houtkoop, I Visser OSF Preprints. February 24, 2020 | 3 | 2020 |
Habituation, part II. Rethinking the habituation paradigm Š Kucharský, M Zaharieva, M Raijmakers, I Visser Infant and Child Development, e2383, 2022 | 1 | 2022 |
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 | 1 | 2021 |
A Default Bayesian Test For Partial Correlations Š Kucharský | 1 | 2018 |
Accessible and Sustainable Statistics with JASP EJ Wagenmakers, Š Kucharský, J van Doorn, D van den Bergh PsyArXiv, 2023 | | 2023 |
Analytic Posterior Distribution and Bayes Factor for Pearson Partial Correlations Š Kucharský, EJ Wagenmakers, D van den Bergh, A Ly PsyArXiv, 2023 | | 2023 |
Bayesian sample size planning for developmental studies I Visser, Š Kucharský, C Levelt, AM Stefan, EJ Wagenmakers, L Oakes Infant and Child Development, e2412, 2023 | | 2023 |