Research output per year
Research output per year
Personal profile
Research interests
Response time modeling
Bayesian statistics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Don van Ravenzwaaij is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bayes factors for two-group comparisons in Cox regression with an application for reverse-engineering raw data from summary statistics
Linde, M., Tendeiro, J. N. & van Ravenzwaaij, D., 1-Mar-2025, (E-pub ahead of print) In: Journal of Applied Statistics.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
De-Identification When Making Data Sets Findable, Accessible, Interoperable, and Reusable (FAIR): Two Worked Examples From the Behavioral and Social Sciences
van Ravenzwaaij, D., de Jong, M., Hoekstra, R., Scheibe, S., Span, M. M., Wessel, I. & Heininga, V. E., 1-Apr-2025, In: Advances in Methods and Practices in Psychological Science. 8, 2, 23 p., 25152459251336130.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
General Triage, Geolocation Data, and Registered Revisions: A Peek Under the Hood of Collabra: Psychology
van Ravenzwaaij, D., 5-Feb-2025, In: Collabra: Psychology. 11, 1, 5 p., 129026.Research output: Contribution to journal › Editorial › Academic › peer-review
Open AccessFile16 Downloads (Pure) -
How can we make sound replication decisions?
Davis-Stober, C. P., Sarafoglou, A., Aczel, B., Chandramouli, S. H., Errington, T. M., Field, S. M., Fishbach, A., Freire, J., Ioannidis, J. P. A., Oberauer, K., Pestilli, F., Ressl, S., Schad, D. J., ter Schure, J., Tentori, K., van Ravenzwaaij, D., Vandekerckhove, J. & Gundersen, O. E., 4-Feb-2025, In: Proceedings of the National Academy of Sciences of the United States of America. 122, 5, 10 p., e2401236121.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)10 Downloads (Pure) -
To interact or not to interact: The pros and cons of including interactions in linear regression models
Rimpler, A., Kiers, H. A. L. & van Ravenzwaaij, D., Mar-2025, In: Behavior Research Methods. 57, 3, 17 p., 92.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)28 Downloads (Pure)
Activities
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How Best to Quantify Replication Success?
van Ravenzwaaij, D. (Invited speaker)
Jul-2024Activity: Talk and presentation › Academic presentation › Academic
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VVSOR Artificial Intelligence Day
van Ravenzwaaij, D. (Organiser)
Nov-2024Activity: Organising and attending an event › Organising and contributing to an event › Academic
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Collabra: Psychology (Journal)
van Ravenzwaaij, D. (Editor)
2024 → …Activity: Peer-review and editorial work › Editorial work › Academic
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How to make your dataset GDPR compliant and Fair?
van Ravenzwaaij, D. (Speaker)
Jun-2023Activity: Talk and presentation › Academic presentation › Academic
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On the Utility of Hypothesis Testing and the Principle of Parsimony
van Ravenzwaaij, D. (Speaker)
Jul-2023Activity: Talk and presentation › Academic presentation › Academic
Datasets
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R results/data after simulation from How best to quantify replication success? A simulation study on the comparison of replication success metrics
Muradchanian, J. (Contributor), Hoekstra, R. (Contributor), Kiers, H. (Contributor) & Van Ravenzwaaij, D. (Contributor), The Royal Society, 10-May-2021
DOI: 10.6084/m9.figshare.14564618
Dataset
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Data for: The comparative evidence basis for the efficacy of second-generation antidepressants in the treatment of depression: A Bayesian Meta-analysis
Roest, A. M. (Contributor), Monden, R. (Contributor), de Jonge, P. (Contributor), Morey, R. (Contributor), Wagenmakers, E.-J. (Contributor), Wardenaar, K. J. (Contributor) & van Ravenzwaaij, D. (Contributor), University of Groningen, 26-Apr-2018
DOI: 10.17632/p3k5h38xpn.1, https://data.mendeley.com/datasets/p3k5h38xpn
Dataset
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R code for data simulation from How best to quantify replication success? A simulation study on the comparison of replication success metrics
Muradchanian, J. (Contributor), Hoekstra, R. (Contributor), Kiers, H. (Contributor) & Van Ravenzwaaij, D. (Contributor), The Royal Society, 10-May-2021
DOI: 10.6084/m9.figshare.14564615
Dataset
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R code to create Figures 3 - 7 from How best to quantify replication success? A simulation study on the comparison of replication success metrics
Muradchanian, J. (Creator), Hoekstra, R. (Creator), Kiers, H. (Creator) & Van Ravenzwaaij, D. (Creator), The Royal Society, 10-May-2021
DOI: 10.6084/m9.figshare.14564612
Dataset