Assessing evidence based on scale is a valid predictor of policy outcomes
Kai Ruggeri
Additional contact information
Kai Ruggeri: Columbia University
No m5cna, OSF Preprints from Center for Open Science
Abstract:
This short paper demonstrates how scale of evidence used in policy decisions can predict effectiveness of policy interventions. By simply rating the level of studies' size and scope used to inform policies, we show how high "levels" of evidence were more strongly associated with better (i.e., intended) policy outcomes. That is valuable given that, as we also show, there is no single type of evidence (e.g., RCTs, systematic reviews, surveys) that is "best" to all policymakers or all policy domains. This piece is largely meant to argue for, not universally validate, a simple approach to assess evidence appropriately when making policy decisions.
Date: 2024-04-18
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://osf.io/download/661e7d61c0539458d0b4d2ea/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:m5cna
DOI: 10.31219/osf.io/m5cna
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().