explorablemultiverse.github.io - Explorable Multiverse Analyses

Example domain paragraphs

Pierre Dragicevic (Inria), Yvonne Jansen (CNRS - Sorbonne Université), Abhraneel Sarma (University of Michigan) Matthew Kay (University of Michigan), Fanny Chevalier (University of Toronto)

With explorable multiverse analysis reports , readers of research papers can explore alternative analysis options by interacting with the paper itself. This new approach to statistical reporting draws from two recent ideas: multiverse analysis , a philosophy of statistical reporting where paper authors report the outcomes of many different statistical analyses in order to show how fragile or robust their findings are; and explorable explanations , narratives that can be read as normal explanations but where

This is the companion website for the paper:

Links to explorablemultiverse.github.io (2)