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Johnny van Doorn
Johnny van Doorn
Bestätigte E-Mail-Adresse bei uva.nl
Titel
Zitiert von
Zitiert von
Jahr
Estimating the reproducibility of psychological science
Open Science Collaboration
Science 349 (6251), aac4716, 2015
71792015
Bayesian inference for psychology. Part II: Example applications with JASP
EJ Wagenmakers, J Love, M Marsman, T Jamil, A Ly, J Verhagen, ...
Psychonomic bulletin & review 25 (1), 58-76, 2018
12902018
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 (3), 813-826, 2021
4282021
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, ...
LAnnee psychologique 120 (1), 73-96, 2020
1482020
Bayesian inference for Kendall’s rank correlation coefficient
J Van Doorn, A Ly, M Marsman, EJ Wagenmakers
The American Statistician 72 (4), 303-308, 2018
992018
Seven easy steps to open science
S Crüwell, J van Doorn, A Etz, MC Makel, H Moshontz, JC Niebaum, ...
Zeitschrift für Psychologie, 2019
95*2019
Behavioural and neural evidence for self-reinforcing expectancy effects on pain
M Jepma, L Koban, J van Doorn, M Jones, TD Wager
Nature Human Behaviour 2 (11), 838-855, 2018
742018
Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ
J van Doorn, A Ly, M Marsman, EJ Wagenmakers
Journal of Applied Statistics 47 (16), 2984-3006, 2020
692020
Bayesian inference in JASP: A guide for students
MA Goss-Sampson, J van Doorn, EJ Wagenmakers
University of Amsterdam: JASP team, 46, 2020
592020
Multiple perspectives on inference for two simple statistical scenarios
NNN van Dongen, JB van Doorn, QF Gronau, D van Ravenzwaaij, ...
The American Statistician 73 (sup1), 328-339, 2019
302019
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 3 (2), 153-161, 2020
192020
The JASP guidelines for conducting and reporting a Bayesian analysis. PsyArXiv
J Van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws, ...
Preprint] DOI: https://doi. org/10.31234/osf. io/yqxfr, 2019
182019
Bayes factors for mixed models
J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior, 1-13, 2021
172021
& Ly, A.(2019)
J Van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws
The JASP guidelines for conducting and reporting a Bayesian analysis, 0
16
Consensus-based guidance for conducting and reporting multi-analyst studies
B Aczel, B Szaszi, G Nilsonne, OR Van Den Akker, CJ Albers, ...
Elife 10, 2021
142021
Bayesian latent-normal inference for the rank sum test, the signed rank test, and Spearman’s ρ
J van Doorn, A Ly, M Marsman, EJ Wagenmakers
arXiv preprint arXiv:1712.06941, 2017
122017
An in-class demonstration of Bayesian inference
J van Doorn, D Matzke, EJ Wagenmakers
Psychology Learning & Teaching 19 (1), 36-45, 2020
92020
Bayesian Estimation of Kendall's tau Using a Latent Normal Approach
J van Doorn, A Ly, M Marsman, EJ Wagenmakers
Statistics and Probability Letters, 2018
82018
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
72018
Strong public claims may not reflect researchers' private convictions
J van Doorn, EJ Wagenmakers
Significance 18 (1), 44-45, 2021
42021
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