Don van den Bergh
Don van den Bergh
Verified email at uva.nl
Title
Cited by
Cited by
Year
Estimating the reproducibility of psychological science
Open Science Collaboration
Science 349 (6251), 2015
56522015
Bayesian inference for psychology. Part II: Example applications with JASP.
EJ Wagenmakers, J Love, M Marsman, T Jamil, A Ly, AJ Verhagen, ...
Psychonomic Bulletin & Review 25 (1), 58-76, 2018
1405*2018
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
1702021
Quantifying support for the null hypothesis in psychology: An empirical investigation
B Aczel, B Palfi, A Szollosi, M Kovacs, B Szaszi, P Szecsi, M Zrubka, ...
Advances in Methods and Practices in Psychological Science 1 (3), 357-366, 2018
612018
Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
JF Landy, ML Jia, IL Ding, D Viganola, W Tierney, A Dreber, ...
Psychological Bulletin 146 (5), 451, 2020
552020
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
552020
A conceptual introduction to Bayesian model averaging
M Hinne, QF Gronau, D van den Bergh, EJ Wagenmakers
Advances in Methods and Practices in Psychological Science 3 (2), 200-215, 2020
432020
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
& 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
A cautionary note on estimating effect size
D van den Bergh, JM Haaf, A Ly, JN Rouder, EJ Wagenmakers
Advances in Methods and Practices in Psychological Science 4 (1 …, 2021
102021
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
A tutorial on Bayesian multi-model linear regression with BAS and JASP
D van den Bergh, MA Clyde, ARKN Gupta, T de Jong, QF Gronau, ...
Behavior research methods, 1-21, 2021
92021
Parsimonious estimation of signal detection models from confidence ratings
R Selker, D van den Bergh, AH Criss, EJ Wagenmakers
Behavior research methods 51 (5), 1953-1967, 2019
92019
A review of applications of the Bayes factor in psychological research
DW Heck, U Boehm, F Böing-Messing, PC Bürkner, K Derks, Z Dienes, ...
PsyArXiv, 2020
52020
Bayesian Estimation of Single-Test Reliability Coefficients
JM Pfadt, D van den Bergh, K Sijtsma, M Moshagen, EJ Wagenmakers
Multivariate Behavioral Research, 1-30, 2021
22021
Outcome measurement in mental health services: insights from symptom networks
G Barbalat, D van den Bergh, JJ Kossakowski
BMC psychiatry 19 (1), 1-9, 2019
22019
Are dishonest politicians more likely to be reelected? A Bayesian view
B Verschuere, M De Schryver, D van den Bergh, EJ Wagenmakers, ...
Proceedings of the National Academy of Sciences 118 (6), 2021
12021
Cultural Consensus Theory for the evaluation of patients’ mental health scores in forensic psychiatric hospitals
D van den Bergh, S Bogaerts, M Spreen, R Flohr, J Vandekerckhove, ...
Journal of Mathematical Psychology 98, 102383, 2020
12020
DstarM: an R package for analyzing two-choice reaction time data with the D∗ M method
D van den Bergh, F Tuerlinckx, S Verdonck
Behavior research methods, 1-23, 2019
12019
Suggestions to advance your mission: An open letter to Dr. Shinobu Kitayama, editor of JPSP: ASC
EJ Wagenmakers, D van den Bergh, C Chambers, H Pashler, J de Ruiter, ...
PsyArXiv, 2017
12017
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Articles 1–20