Follow
Johnny van Doorn
Johnny van Doorn
Verified email at uva.nl
Title
Cited by
Cited by
Year
Estimating the reproducibility of psychological science
Open Science Collaboration
Science 349 (6251), aac4716, 2015
75822015
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, 58-76, 2018
13902018
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
5462021
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
1962020
Seven easy steps to open science
S Crüwell, J van Doorn, A Etz, MC Makel, H Moshontz, JC Niebaum, ...
Zeitschrift für Psychologie, 2019
1182019
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
1052018
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
932020
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
912018
Bayesian inference in JASP: A guide for students
MA Goss-Sampson, J van Doorn, EJ Wagenmakers
University of Amsterdam: JASP team 46, 2020
682020
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
342019
Bayes factors for mixed models
J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior, 1-13, 2021
292021
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, 153-161, 2020
242020
Consensus-based guidance for conducting and reporting multi-analyst studies
B Aczel, B Szaszi, G Nilsonne, OR Van Den Akker, CJ Albers, ...
Elife 10, e72185, 2021
202021
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
192019
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
162017
& 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
An in-class demonstration of Bayesian inference
J van Doorn, D Matzke, EJ Wagenmakers
Psychology Learning & Teaching 19 (1), 36-45, 2020
122020
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
62018
Strong public claims may not reflect researchers' private convictions
J van Doorn, EJ Wagenmakers
Significance 18 (1), 44-45, 2021
52021
The system can't perform the operation now. Try again later.
Articles 1–20