Hedges, mottes, and baileys: Causally ambiguous statistical language can increase perceived study quality and policy relevance
对冲、土墩和贝利：因果关系模糊的统计语言可以提高人们对研究质量和政策相关性的感知
期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0286403
Alvarez-Vargas, Daniela; Braithwaite, David; Lortie-Forgues, Hugues; Moore, Melody; Wan, Sirui; Martin, Elizabeth; Bailey, Drew Hal
