Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
Landy JF, Jia ML, Ding IL, Viganola D, Tierney W, Dreber A, Johannesson M, Pfeiffer T, Ebersole CR, Gronau QF, Ly A, van den Bergh D, Marsman M, Derks K, Wagenmakers EJ, Proctor A, Bartels DM, Bauman CW, Brady WJ, Cheung F, Cimpian A, Dohle S, Donnellan MB, Hahn A, Hall MP, Jiménez-Leal W, Johnson DJ, Lucas RE, Monin B, Montealegre A, Mullen E, Pang J, Ray J, Reinero DA, Reynolds J, Sowden W, Storage D, Su R, Tworek CM, Van Bavel JJ, Walco D, Wills J, Xu X, Yam KC, Yang X, Cunningham WA, Schweinsberg M, Urwitz M, The Crowdsourcing Hypothesis Tests Collaboration, Uhlmann EL.
Landy JF, et al. Among authors: wagenmakers ej.
Psychol Bull. 2020 May;146(5):451-479. doi: 10.1037/bul0000220. Epub 2020 Jan 16.
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PMID: 31944796