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

    Hedges, mottes, and baileys: Causally ambiguous statistical language can increase perceived study quality and policy relevance by Daniela Alvarez-Vargas, David Braithwaite, Hugues Lortie-Forgues, Melody Moore, Sirui Wan, Elizabeth Martin, Drew Hal Bailey

    Published 2023-01-01
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    Article
  2. 2
    Hedges, mottes, and baileys: Causally ambiguous statistical language can increase perceived study quality and policy relevance.

    Hedges, mottes, and baileys: Causally ambiguous statistical language can increase perceived study quality and policy relevance. by Daniela Alvarez-Vargas, David Braithwaite, Hugues Lortie-Forgues, Melody Moore, Sirui Wan, Elizabeth Martin, Drew Hal Bailey

    Published 2023-01-01
    Get full text
    Article

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