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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), aac4716, 2015
68442015
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
1896*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
3632021
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
1252020
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
1052020
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
972020
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
892018
A tutorial on Bayesian multi-model linear regression with BAS and JASP
D Bergh, MA Clyde, AR Gupta, T de Jong, QF Gronau, M Marsman, A Ly, ...
Behavior research methods, 1-21, 2021
242021
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
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
162020
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
162019
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
152021
& 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
15
A review of applications of the bayes factor in psychological research.
DW Heck, U Boehm, F Böing-Messing, PC Bürkner, K Derks, Z Dienes, ...
Psychological Methods, 2022
142022
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
112021
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 52 (2), 521-543, 2020
52020
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
52019
Strong public claims may not reflect researchers' private convictions
J van Doorn, EJ Wagenmakers
Significance 18 (1), 44-45, 2021
32021
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
22020
Default Bayes Factors for Testing the (In) Equality of Several Population Variances
F Dablander, D Bergh, A Ly, EJ Wagenmakers
arXiv preprint arXiv:2003.06278, 2020
22020
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