Closer to Zero Does Not Mean Closer to the Truth — How RoBMA Overcorrects Real Effects
Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2023). Robust Bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods, 28(1), 107–122. https://doi.org/10.1037/met0000405 Take Home Message A RoBMA estimate near zero is not, by itself, evidence that there is no effect. It is a model-averaged posterior estimate that can be pulled toward zero by the prior for the effect … Continue reading Closer to Zero Does Not Mean Closer to the Truth — How RoBMA Overcorrects Real Effects →
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