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
55462015
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
1349*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, 1-14, 2020
1472020
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
522020
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
372020
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
362020
A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP
D van den Bergh, J van Doorn, T Draws, EJ van Kesteren, K Derks, ...
PsyArXiv, 2019
142019
& 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 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, ...
112019
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
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 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
52021
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
42020
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
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
12021
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
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Articles 1–20