Record Details


Field	Value

Title	Replication Data for: “From ‘Is it unconfounded?’ to ‘How much confounding would it take?’: Applying the sensitivity-based approach to assess causes of support for peace in Colombia”

Identifier	https://doi.org/10.7910/DVN/4OYWQH

Creator	Parente, Francesca Hazlett, Chad

Publisher	Harvard Dataverse

Description	Attention to the credibility of causal claims has increased tremendously in recent years. When relying on observational data, debate often centers on whether investigators have ruled out any bias due to confounding. However, the relevant scientific question is generally not whether bias is precisely zero, but whether it is problematic enough to alter one's research conclusion. We argue that sensitivity analyses would improve research practice by showing how results would change under plausible degrees of confounding, or equivalently, by revealing what one must argue about the strength of confounding to sustain a research conclusion. This would improve scrutiny of studies in which non-zero bias is expected, and of those where authors argue for zero bias but results may be fragile to confounding too weak to be ruled out. We illustrate this using off-the-shelf sensitivity tools to examine two potential influences on support for the FARC peace agreement in Colombia.

Subject	Social Sciences Sensitivity analysis sensemakr FARC referendum

Contributor	Parente, Francesca

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