| A primer on Bayesian model-averaged meta-analysis QF Gronau, DW Heck, SW Berkhout, JM Haaf, EJ Wagenmakers Advances in Methods and Practices in Psychological Science 4 (3 …, 2021 | 78 | 2021 |
| A Bayesian multiverse analysis of Many Labs 4: Quantifying the evidence against mortality salience JM Haaf, S Hoogeveen, S Berkhout, QF Gronau, EJ Wagenmakers Unpublished manuscript, 2020 | 19 | 2020 |
| A tutorial on Bayesian model-averaged meta-analysis in JASP SW Berkhout, JM Haaf, QF Gronau, DW Heck, EJ Wagenmakers Behavior Research Methods 56 (3), 1260-1282, 2024 | 15 | 2024 |
| A primer on Bayesian model-averaged meta-analysis. Advances in Methods and Practices in Psychological Science, 4 (3), Article 25152459211031256 QF Gronau, DW Heck, SW Berkhout, JM Haaf, EJ Wagenmakers | 10 | 2021 |
| Improving statistical analysis in team science: The case of a Bayesian multiverse of Many Labs 4 S Hoogeveen, SW Berkhout, QF Gronau, EJ Wagenmakers, JM Haaf Advances in Methods and Practices in Psychological Science 6 (3 …, 2023 | 4 | 2023 |
| A tool to simulate and visualize dyadic interaction dynamics. SW Berkhout, NK Schuurman, EL Hamaker Psychological Methods, 2023 | 2 | 2023 |
| A Tutorial on Bayesian Model-averaged Meta-analysis in JASP SW Berkhout, JM Haaf, QF Gronau, DW Heck, EJ Wagenmakers PsyArXiv, 2021 | 2 | 2021 |
| Let sleeping dogs lie? How to deal with the night gap problem in ESM data SW Berkhout, NK Schuurman, E Hamaker | | 2024 |
| Pipeline 2: Preregistered Bayesian Analyses F Bartoš, SW Berkhout, U Boehm, K Derks, QF Gronau, Š Kucharský, A Ly, ... | | |
