Open Statistics

From the symposium on Open Science organized at the University of Bologna in 2019, an amazing project for Spreading Statistical Thinking was born in collaboration with Pearson

Open Statistics & Open Your Eyes

Open Science Symposium at the University of Bologna

Spreading statistical thinking

with Pearson Statistics

Bayesian and Fisherian inference

Eric-Jan Wagenmakers (University of Amsterdam)

Herbert Hoijtinc (University of Utrecht)

Reproducibility and Open Science

Methodology in Medicine

Massimo Grassi (University of Padova)

Agneta Rydberg (Karolinska Institutet)

Interaction effect: Are you doing the right thing?How to correctly interpret interaction effects has been largely discussed in scientific literature. Nevertheless, misinterpretations are still frequently observed, and neuroscience is not exempt from this trend. We reviewed 645 papers published from 2019 to 2020 and found that, in the 93.2% of studies reporting a statistically significant interaction effect (N = 221), post-hoc pairwise comparisons were the designated method adopted to interpret its results. Given the widespread use of this approach, we aim to: (1) highlight its limitations and how it can lead to misinterpretations of the interaction effect; (2) discuss more effective and powerful ways to correctly interpret interaction effects, including both explorative and model selection procedures. The paper provides practical examples and freely accessible online materials to reproduce all analyses.

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