This post is a teaser for Wagenmakers, E.-J. (2022). Approximate objective Bayes factors from p-values and sample size: The 3p√n rule. Preprint available on ArXiv: https://psyarxiv.com/egydq Abstract “In 1936, Sir Harold Jeffreys proposed an approximate objective Bayes factor that quantifies the degree to which the point-null hypothesis H0 outpredicts the alternative hypothesis H1. This approximate Bayes factor (henceforth JAB01) depends…

This post is an extended synopsis of two papers: The MARP Team (2022). A Many-Analysts Approach to the Relation Between Religiosity and Well-being. Preprint available on PsyArXiv: https://psyarxiv.com/pbfye/. Sarafoglou, Hoogeveen & Wagenmakers (2022). Comparing Analysis Blinding With Preregistration In The Many-Analysts Religion Project. Preprint available on PsyArXiv: https://psyarxiv.com/6dn8f/.  Summary The relation between religiosity and well-being is one of the most…

This post is a teaser for Wagenmakers, E.-J., & Ly, A. (2020). History and nature of the Jeffreys-Lindley paradox. Preprint available on ArXiv: https://arxiv.org/abs/2111.10191 Abstract “The Jeffreys-Lindley paradox exposes a rift between Bayesian and frequentist hypothesis testing that strikes at the heart of statistical inference. Contrary to what most current literature suggests, the paradox was central to the Bayesian testing…

This post is a synopsis of Bartoš, F., Maier, M., Quintana D. S., & Wagenmakers, E. (2021). Adjusting for Publication Bias in JASP & R — Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis. Preprint available at https://doi.org/10.31234/osf.io/kvsp7     Abstract Meta-analyses are essential for cumulative science, but their validity can be compromised by publication bias. In order to mitigate the…

This post is a synopsis of Bartoš, F., Gronau, Q. F., Timmers, B., Otte, W. M., Ly, A., & Wagenmakers, E. J. (2021). Bayesian model‐averaged meta‐analysis in medicine. Statistics in Medicine. The article is available at https://doi.org/10.1002/sim.9170  (open-access).   Abstract We outline a Bayesian model-averaged (BMA) meta-analysis for standardized mean differences in order to quantify evidence for both treatment effectiveness…

In his 1889 book “Calcul des Probabilités”, the French mathematician Joseph Bertrand (1822–1900) introduced a probability paradox that anticipates both the Monty Hall problem and the Three Prisoners problem. Below we first present a literal translation of Bertrand’s text, which unfortunately suffers from being somewhat unclear. We therefore follow it up with a more liberal translation, and end with a…

This post is a synopsis of Boehm U, Evans N J, Gronau D., Matzke D, Wagenmakers E.-J., & Heathcote A J. (2021). Computing and using inclusion Bayes factors for mixed fixed and random effect diffusion decision models. Preprint available at https://psyarxiv.com/45t2w Abstract Cognitive models provide a substantively meaningful quantitative description of latent cognitive processes. The quantitative formulation of these models…

This post is a synopsis of Bartoš, F, Maximilian M, Wagenmakers E.-J., Doucouliagos H., & Stanley, T D. (2021). No need to choose: Robust Bayesian meta-analysis with competing publication bias adjustment methods. Preprint available at https://doi.org/10.31234/osf.io/kvsp7 Abstract “Publication bias is a ubiquitous threat to the validity of meta-analysis and the accumulation of scientific evidence. In order to estimate and counteract…