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The Robustness Dashboard

Authors: Gunther Bensch; Jörg Ankel-Peters; Abel Brodeur; Julian Rose;

The Robustness Dashboard

Abstract

Transparent communication of robustness is essential in empirical research, yet existing toolscan be difficult to interpret. This paper introduces the robustness dashboard, a graphical tool thatvisualizes the results of robustness reproductions into a single, intuitive graph. The robustnessdashboard draws on a multiverse of analytical paths to illustrate their effect on statisticalsignificance. It complements existing visualisations, such as specification curves, by offering amore compact and accessible summary of robustness pa%erns. The dashboard can be easilyimplemented using our Stata command repframe and scaled according to the number ofoutcomes, ranging from stand-alone reproductions to meta-reproductions.

Keywords

multiverse analysis, ddc:330, C80, data visualization, robustness, meta-science, A11, C87, reproducibility, research transparency

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid