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), 2015
56362015
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
9212018
Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications
EJ Wagenmakers, M Marsman, T Jamil, A Ly, J Verhagen, J Love, ...
Psychonomic bulletin & review 25 (1), 35-57, 2018
7352018
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
1692021
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
652018
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
542020
Seven easy steps to open science
S Crüwell, J van Doorn, A Etz, MC Makel, H Moshontz, JC Niebaum, ...
Zeitschrift für Psychologie, 2019
46*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
412018
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
252020
Bayesian inference in JASP: A guide for students
MA Goss-Sampson, J van Doorn, EJ Wagenmakers
University of Amsterdam: JASP team, 2020
222020
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
162019
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].. https://doi. org/10.31234/osf. io/yqxfr, 2019
152019
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
& 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
12
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
102020
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
62018
An in-class demonstration of Bayesian inference
J van Doorn, D Matzke, EJ Wagenmakers
Psychology Learning & Teaching 19 (1), 36-45, 2020
52020
Bayes factors for mixed models
J van Doorn, F Aust, JM Haaf, A Stefan, EJ Wagenmakers
PsyArXiv, 2021
32021
8 Easy Steps to Open Science: An Annotated Reading List (To Give to your busy Supervisor/Office Mate)
S Crüwell, J van Doorn, A Etz, MC Makel, H Moshontz, JC Niebaum, ...
Open Science 2019, Trier, Germany, 2019
12019
Using the weighted Kendall Distance to analyze rank data in psychology
J van Doorn, M Lee, H Westfall
PsyArXiv, 2021
2021
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