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Hedges, mottes, and baileys: Causally ambiguous statistical language can increase perceived study quality and policy relevance

Document Type

Article

Author

Alvarez-Vargas, D.; Braithwaite, D.; Lortie-Forgues, H.; Moore, M.; Wan, S.; Martin, E.; Bailey, D.H.

Source

In: PLoS ONE. (PLoS ONE, October 2023, 18(10 OCTOBER))

Subject

Language

English

ISSN

19326203

Online Access

EBSCOHost PDF Full Text (ProQuest Central) Full Text (Gale Academic Onefile) Web of Science JCR 저널정보 Scopus Find it@PNU

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